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<itunes:explicit>no</itunes:explicit><!--@@Mon, 16 Nov 2009 00:00:00 -0500@@-->
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<title>Tony H. Grubesic; Approximating the Geographical Characteristics of Internet Activity</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_11_09.mp3</link>

<itunes:summary>Networks and Complex Systems Talk (audio): Capturing the flow of information between cities is a challenging task.  Historically, flow analyses have focused on goods, capital and people, all of which can serve as proxies for estimating the volume of spatial interaction between places.  However, with the advent of the Internet and its ability to both facilitate and accelerate the exchange of information, it is somewhat surprising that so few studies have examined the geographical characteristics of Internet flows.  Aside from the initial challenges associated in acquiring network flow data, there are additional constraints inhibiting such efforts, including privacy concerns, the geographic rectification of flows and the ability to manage and visualize massive datasets.  The purpose of this paper is to outline a basic methodology for capturing Internet flow data and to provide a brief empirical analysis of these data for the Internet2 network in the United States.  Results suggest that asymmetries exist between ingress and egress connectivity and flows throughout the U.S.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
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<!--@@Mon, 09 Nov 2009 00:00:00 -0500@@-->
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<title>Sabine Matook: Adopting Online Social Networks for Commercial Friendship</title>

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<itunes:summary>The Rob Kling Center for Social Informatics Speaker Series (slides): Online social networks (OSN) have attracted considerable interest from research and practice. Individuals use OSNs to establish and maintain relationships with friends, family, and close colleagues. While these relationships are typically personal in nature, the current study introduces commercial friendship between an OSN user and a firm representative as an approach to utilize OSN as part of a customer relationship strategy. A commercial friendship emerges when a firm representative is given access to the customer’s personal network. We build on relationship theory and friendship theory to examine factors that impact the willingness of OSN users to engage in relationships with firm representatives. Preliminary findings from an open-ended survey with 60 participants and interviews with 35OSN users suggest that a positive relationship outcome (i.e. relationship benefits outweigh relationship costs) and the level of perceived friendship impact the willingness-to-add decision. Theoretical contributions, practical implications, and the subsequent testing of the factors in an experiment are presented.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
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<title>Sabine Matook: Adopting Online Social Networks for Commercial Friendship</title>

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School of Library and Information Science, Indiana University, 
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<!--@@Mon, 19 Oct 2009 00:00:00 -0400@@-->
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<title>Leland Wilkinson: Automated Visualization and Analysis Using the Grammar of Graphics Foundation</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/informatics2009/IC1016.mp3</link>

<itunes:summary>Informatics Colloquia (video): Visualization has at least three purposes: 1) the inspection of raw data, 2) the assessment of assumptions underlying fitted models, 3) the presentation of fitted models. Automated visualization (AV) is an attempt to serve these purposes through intelligent automation of visualization and analytic methods. While AV might be designed to serve all three purposes equally well, its most suitable applications involve the early stages of a discovery process. AV, however sophisticated, should not replace the interactive process underlying the development and fitting of models themselves. It is best suited for discerning missing values, irregularities, anomalies, coding errors, and other effects that might bias the fitting of models or refinement of judgments based on data.
<br /><br />
The Grammar of Graphics is the title of a book and a framework for developing intelligent visualizations of statistical and scientific data. Joint work with Graham Wills, Dan Rope, and others has led to the implementation of a scalable visualization library based on the book. And joint work with Anushka Anand and Robert Grossman at UIC has led to the development of a novel algorithm (originally proposed by John Tukey) for detecting patterns in high-dimensional datasets. These ideas will be illustrated on real data through several different interactive software applications.</itunes:summary>

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<pubDate>Mon, 19 Oct 2009 00:00:00 -0400</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 15 Oct 2009 00:00:00 -0400@@-->
<item>
<title>Shaun Grannis:An overview of real-world public health informatics solutions that support public health practice</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_10_05.mp3</link>

<itunes:summary>Networks and Complex Systems Talk (audio): Clinical and public health arenas face similar challenges when considering the development of regional information exchanges. Health care information is scattered across many independent databases and systems as separate data islands with different patient and provider identifiers, concept identifiers, and location identifiers. This is true for data collected within an institution and for data collected about the same patient at different health care institutions or public health organizations. These pervasive realities create layers of complexity in health care information aggregation efforts for both public health and clinical care uses. On the public health front, the Centers for Disease Control (CDC) promotes specifications to ensure consistent public health information networks can serve the nation's public health information needs. Because public health initiatives must cross all of the separate silos and other facets of healthcare, public health and clinical medicine have shared interests in reusable data exchange systems. Public health is in fact part of the comprehensive health care ecology both from a patient care perspective and from a health care IT perspective. Data generated in typical clinical workflow, such as immunization records and reportable laboratory results, are just two examples of information having dual use in both clinical medicine and public health. Similarly, routinely collected point of care emergency department encounter data can be of great value to public health syndromic surveillance efforts. This talk will describe existing medical informatics solutions that support public health practice in Indiana, including syndromic surveillance and automated notifiable disease reporting.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Tue, 22 Sep 2009 00:00:00 -0400@@-->
<item>
<title>Arnim Wiek: From Analyzing to Forming Agent Networks for Sustainability</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_09_21.mp3</link>

<itunes:summary>Networks and Complex Systems Talk (audio): Studies of social networks and governance arrangements focus on analyzing frequency, intensity, density, quality, and other parameters of relations among agents. Departing from these approaches, agent network analysis and governance studies in sustainability science explicitly integrate a normative perspective into the research agenda. Critical questions are: How should agent networks be formed in order to promote and support endeavors towards sustainability? What roles and responsibilities need to be fulfilled by the agents involved in sustainability governance activities? The talk presents an analytical-normative concept for agent network analysis in sustainability studies and illustrates its application in empirical studies from Europe and the U.S.</itunes:summary>

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<pubDate>Tue, 22 Sep 2009 00:00:00 -0400</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Wed, 16 Sep 2009 00:00:00 -0400@@-->
<item>
<title>Alessandro Vespignani: Predicting the behavior of techno-social systems: Planning for pandemic outbreaks in real time</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_09_14.mp3</link>

<itunes:summary>Networks and Complex Systems Talk (audio): We live in an increasingly interconnected world where infrastructures composed by different technological layers are interoperating with the social component that drives their use and development. Examples are provided by the Internet, the social Web, the new WiFi communication technologies and transportation and mobility infrastructures. The multi-scale nature and complexity of these networks are crucial features in the understanding of techno-social systems and the dynamical processes occurring on top of them. I will review the recent advances and challenge in this area and how we can look forward to new forecasting infrastructures in the context of techno-social systems. As a foremost example I will review the recent development and the major roadblocks in the computational approach to the prediction and control of emerging diseases. In particular I will discuss the global epidemic and mobility (GLEaM) computational platform and its use in the early stages of the recent H1N1 outbreak to provide real-time projections and scenarios on the unfolding of the epidemic.</itunes:summary>

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<pubDate>Wed, 16 Sep 2009 00:00:00 -0400</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 04 Jun 2009 00:00:00 -0400@@-->
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<title>Charles van den Heuvel: Web 2.0 and the Semantic Web in Research from a Historical Perspective</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_05_26.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): Tim Berners-Lee describes in Weaving the Web (1999), his future vision of the World Wide Web in two parts. In the first one, nowadays called Web 2.0, people collaborate and enrich data together in a shared information space. In the second part, exchanges extend to computers, resulting in a “Semantic Web” (Berners-Lee  1999). Most historical studies of World Wide Web begin with the American roots of the Internet in ARPANET or follow a historiographical line of post war information revolutionaries, from Vannevar Bush  to Tim Berners-Lee. This paper follows an alternative line. At the end of the nineteenth and in the first decades of the twentieth century various European scholars, like Patrick Geddes, Paul Otlet, Otto Neurath, Wilhelm Ostwald explored the organisation, enrichment and dissemination of knowledge on a global level to come to a peaceful, universal society. We focus on Paul Otlet (1868-1944) who developed a knowledge infrastructure to update information mechanically and manually in collaboratories of scholars. First the Understanding Infrastructure (2007) report, that Paul N. Edwards et al. wrote on behalf of NSF, will be used to position Otlet’s knowledge organization in their sketched development from information systems to information networks or webs. Secondly, the relevance of Otlet’s knowledge infrastructure will be assessed for Web 2.0 and Semantic Web applications for research. The hypothesis will be put forward that the instruments and protocols envisioned by Otlet to enhance collaborative knowledge production, can still be relevant for current conceptualizations of “scientific authority” in data sharing and annotation in Web 2.0 applications and the modeling of the Semantic Web.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 04 Jun 2009 00:00:00 -0400@@-->
<item>
<title> David Lazer: Life in the network: The coming age of computational social science</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_04_06.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): An increasing fraction of human interactions are digitally captured. These digital breadcrumbs, combined with substantial computational power, create enormous opportunities for ground breaking science. This talk will discuss what some of the potential opportunities are for developing an improved understanding of collective human behavior, as well the potential barriers to the emergence of a "computational social science." In particular, the objective of this talk will be to spur discussion regarding how to bridge the gap between various methods for data mining and enhancing understanding of human behavior.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 04 May 2009 00:00:00 -0400@@-->
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<title>Alessandro Flammini: Optimal Transportation Networks</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_04_27.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): Our current understanding of networks structure and evolution is largely based on the description of the dynamical processes that have shaped them. Alternative approaches based on principles of optimality have been proposed, but certainly are not mainstream. Although there are good reasons for that, I will discuss examples where such approaches are fruitful, focusing especially on the case of road networks.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 04 May 2009 00:00:00 -0400@@-->
<item>
<title>Jaideep Srivastava: Web Mining - Accomplishments and Future Directions</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_04_13.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (video): From its very beginning, the potential of extracting valuable knowledge from the Web has been quite evident. Web mining - i.e. the application of data mining techniques to extract knowledge from Web content, structure, and usage - is the collection of technologies to fulfill this potential. Interest in Web mining has grown rapidly in its short existence, both in the research and practitioner communities. This talk provides an overview of the accomplishments of the field - both in terms of technologies and applications - and outlines key future research directions.</itunes:summary>

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<pubDate>Mon, 04 May 2009 00:00:00 -0400</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 04 Jun 2009 00:00:00 -0400@@-->
<item>
<title>Olaf Sporns: Complex Brain Networks</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_04_06.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): The human brain is a complex network.  My talk will be about emerging links between the connectivity structure of the brain and its functional dynamics, and about how we might construct a computational network model of the brain.  We now know that structural brain networks exhibit a number of topological features, including small-world attributes, modularity, and hubs.  How do these structural features relate to functional characteristics of brain networks, to their dynamic patterns, to their processing power, robustness, or capacity to support flexible behavior?  I will review recent work on complex brain networks that aims to identify how brain networks are organized and how they process and integrate information.  I will also outline how these efforts may inform the design of a comprehensive structural and dynamic model of the human brain.</itunes:summary>

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<pubDate>Thu, 04 Jun 2009 00:00:00 -0400</pubDate>

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<itunes:keywords>

School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 09 Apr 2009 00:00:00 -0400@@-->
<item>
<title>John Richardson, Jr: From Hand Printer to Ecological Informatician: Or, How I Discovered the Lost Ship of the Colorado Desert</title>

<itunes:author>t</itunes:author>

<link>http://www.slis.indiana.edu/media/kaser/kaser09_richardson.mov</link>

<itunes:summary>David Kaser Lecture Series (video): From Hand Printer to Ecological Informatician: Or, How I Discovered the Lost Ship of the Colorado Desert" — an autobiographical speculation on how the field has changed over my thirty plus year career with advice on focusing on the present, studying the past, and planning for the future..." He remembers Dr. Kaser's lectures with great fondness, and is pleased to be giving this year's talk.</itunes:summary>

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<itunes:keywords>

School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 09 Apr 2009 00:00:00 -0400@@-->
<item>
<title>Kristin Eschenfelder: The 1980’s Downloading Crisis: Why Can We Do What We Do with Bibliographic Citations?</title>

<itunes:author>t</itunes:author>

<link>http://www.slis.indiana.edu/media/rkcsi_2009/rkcsi_03_27.mov</link>

<itunes:summary>The Rob Kling Center for Social Informatics Speaker Series (video): Controversy about unauthorized downloading or “piracy” of digital materials seems like a recent intellectual property phenomenon. But an earlier "downloading crisis" occurred in the 1980’s when users, newly equipped with personal computers began to download data from commercial databases like DIALOG and Chemical Abstracts. Database vendors feared that downloading of citations would undermine their revenues and they initially forbade downloading, employing the rhetoric of piracy and economic harm common in today’s intellectual property disputes. But, also similar to today, some users continued to download despite vendor protests. What led to a change in database vendors' attitudes toward downloading between 1980 and the mid-1990s? This talk focuses on change in use regimes associated with one type of digital intellectual property: scholarly bibliographical citations. Use Regimes are an analytical tool to analyze changes in who can access intellectual or cultural property and what they can do with it. Analyzing changes in past regimes helps us better understand contemporary debates about what counts as legitimate and illegitimate uses of intellectual and cultural property, the potential effects of access and use restrictions on knowledge and cultural production, and the circumstances important to facilitate change in access and use rules.</itunes:summary>

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<pubDate>Thu, 09 Apr 2009 00:00:00 -0400</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 20 Apr 2009 00:00:00 -0400@@-->
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<title>Micah Linnemeier and the NWB Team: Network Workbench: Current and future development at the Cyberinfrastructure for Network Science Center</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_03_23.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): The presentation will discuss the various projects of the Cyberinfrastructure for Network Science Center, demonstrating recent developments in the Network Workbench tool, as well as describing some of our future work: the EpiC and SciPolicy cyberinfrastructure projects. 
Network Workbench helps network scientists process, analyze, and visualize network data. It is highly-extensible, allowing users to contribute their own algorithms to the tool, which are able to interact seemlessly with existing Network Workbench functionality. This flexibility is made possible by the CIShell cyberinfrastructure framework, which is the foundation of our upcoming cyberinfrastructure tools as well. New functionality in Network Workbench includes a collection of algorithms for handling weighted networks, and support for scientometrics analysis and processing. 
The upcoming EpiC (short for Epidemics Cyberinfrastructure) project aims to create a tool to aid in the modeling, analysis, and visualization of epidemics data. The EpiC project is also developing a community website to facilitate the sharing of datasets in the epidemics community. 
SciPolicy will expand the scientometrics functionality in Network Workbench into a separate full-fledged tool, making it easy for science policy makers to visualize and understand large sets of scientometrics data.</itunes:summary>

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<pubDate>Mon, 20 Apr 2009 00:00:00 -0400</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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Network Workbench helps network scientists process, analyze, and visualize network data. It is highly-extensible, allowing users to contribute their own algorithms to the tool, which are able to interact seemlessly with existing Network Workbench functionality. This flexibility is made possible by the CIShell cyberinfrastructure framework, which is the foundation of our upcoming cyberinfrastructure tools as well. New functionality in Network Workbench includes a collection of algorithms for handling weighted networks, and support for scientometrics analysis and processing. 
The upcoming EpiC (short for Epidemics Cyberinfrastructure) project aims to create a tool to aid in the modeling, analysis, and visualization of epidemics data. The EpiC project is also developing a community website to facilitate the sharing of datasets in the epidemics community. 
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<!--@@Wed, 01 Apr 2009 00:00:00 -0400@@-->
<item>
<title>Chen Yu: Visual Data Mining of Multimedia Data for Social and Behavioral Studies</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_03_09.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): Abstract:With advances in computing techniques, a large amount of high-resolution high-quality multimedia data (video and audio, etc.) has been collected in research laboratories in various scientific disciplines, particularly in cognitive and behavioral studies. How to automatically and effectively discover new knowledge from rich multimedia data poses a compelling challenge since most state-of-the-art data mining techniques can only search and extract pre-defined patterns or knowledge from complex heterogeneous data. In light of this challenge, we propose a hybrid approach that allows scientists to use data mining as a first pass, and then forms a closed loop of visual analysis of current results followed by more data mining work inspired by visualization, the results of which can be in turn visualized and lead to the next round of visual exploration and analysis. In this way, new insights and hypotheses gleaned from the raw data and the current level of analysis can contribute to further analysis. As a first step toward this goal, we implement a visualization system with three critical components: (1) A smooth interface between visualization and data mining; (2) A flexible tool to explore and query temporal data derived from raw multimedia data; and (3) A seamless interface between raw multimedia data and derived data. We have developed various ways to visualize both temporal correlations and statistics of multiple derived variables and as well as conditional and high-order statistics. Our visualization tool allows users to explore, compare, and analyze multi-stream derived variables and simultaneously switch to access raw multimedia data.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Wed, 04 Mar 2009 00:00:00 -0500@@-->
<item>
<title>George Kampis: Food Webs From RNA Structures: The Emergence and Analysis of Complex Ecological Networks</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_03_02.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): Understanding ecosystems is one of the most important challenges for theoretical biology and Artificial Life. We offer a bottom-up, fully individual-based model where phenotype-to-phenotype interactions of organisms define ecological networks and we study how simple conditions give rise to complex food webs if we allow for the evolution of phenotypes and hence phenotype interactions. A key element of the model is the notion of "rich phenotype" realized as a set of nonlinear tradeoffs in a multi-trait system. To approach this, we have chosen one of the best understood phenotypes, RNA structures, and assigned ecological functions to their features. In a series of experiments we show the emergence of complex food webs with generic properties, which indicates that minimalist assumptions such as having rich phenotype interactions might be sufficient to generate complex ecosytems and to explain some puzzling ecological features.</itunes:summary>

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<pubDate>Wed, 04 Mar 2009 00:00:00 -0500</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Wed, 04 Mar 2009 00:00:00 -0500@@-->
<item>
<title>Ann McCranie: Co-Authorship Networks in the Mental Illness Recovery Research Movement</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_02_23.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): The field of mental health services research incorporates researchers and practitioners from the fields such as psychology, psychiatry, social work, health policy, and consumer advocacy. This diverse field saw a marked increase in the publication of recovery-oriented literature and the development of recovery-oriented clinical and organizational practices starting in the mid 1980s and continuing to the present. In services research, the meaning of recovery in severe mental illness (SMI) is contested, but refers broadly to the idea that the long-term prospects of people with SMI need not be dire and illness-defined. Instead, the concept of recovery suggests the care of SMI should be person- and future-oriented and should allow individuals to work toward personally meaningful goals. While this may not seem to outsiders as much of a challenge to service providers, in the 1980s and beyond, recovery became a rallying cry for those who sought to contest overly custodial and pessimistic providers and systems of care. The recovery "movement" in the research literature appears to be what Frickel and Gross termed a scientific/intellectual movement (2005). This study expands the network argument of the SIM framework and examines the evolution of the recovery research network through co-authorship and past and present academic, clinical, disciplinary and other professional affiliations. Multiple types of approaches, including centrality, evolutionary models, and p* models are used to explore this scientific movement.</itunes:summary>

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<pubDate>Wed, 04 Mar 2009 00:00:00 -0500</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 02 Mar 2009 00:00:00 -0500@@-->
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<title>Viswanath Venkatesh: Digital Divide Initiative Success in India</title>

<itunes:author>t</itunes:author>

<link>http://www.slis.indiana.edu/media/rkcsi_2009/rkcsi_2_20.mov</link>

<itunes:summary>The Rob Kling Center for Social Informatics Speaker Series (video): Digital divide initiatives in developing countries are an important avenue for socio-economic advancement of those countries. Yet, little research has focused on understanding success of such initiatives. The research project, which spans five years with data collected from multiple villages in rural India, seeks to understand the determinants of success of a digital divide initiative. The indicators of success that we examine are economic and health outcomes. Within this broader project, the paper that will be the focus of the presentation and discussion develops and tests a model of technology use and economic outcomes. We use social networks as the guiding theoretical lens as it is well-suited to such a context given the low literacy, high collectivism and an oral tradition of information dissemination in developing countries. We test our model with longitudinal data gathered from 210 families in one village. As theorized, we found that the social network constructs predicted technology use, with the variance explained being 41%. Also, as we predicted, technology use partially mediated the effect of social network constructs on economic outcomes, with the variance explained being 49%. We discuss implications for theory and practice.</itunes:summary>

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<pubDate>Mon, 02 Mar 2009 00:00:00 -0500</pubDate>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 09 Feb 2009 00:00:00 -0500@@-->
<item>
<title>David Salt; Mapping connections between the genome, ionome and the physical landscape</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_02_02.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): Understanding how organisms control their ionome or mineral nutrient and trace element composition, could have a significant impact on both plant and human health. Furthermore, associating the genetic determinants that underlie natural ionomics variation, with the landscape of the individuals that carry these genotypes, will provide insight into the genetic basis of adaptation and speciation. We have employed high-throughput mineral nutrient and trace element profiling, using inductively coupled plasma – mass spectrometry (ICP-MS), as a tool to determine the biological significance of connections between an organisms genome and its ionome. Our focus is on genes that control uptake and accumulation of mineral elements, including Ca, K, Mg, P (macronutrients in plant fertilizer), Co, Cu, Fe, Li, Mn, Mo, Ni, Se, Zn, (micronutrients of significance to plant and human health) and As, Cd, Na and Pb (elements causing agricultural or environmental problems). To date we have analyzed the ionome of over 100,000 Arabidopsis plants and 20,000 yeast samples. This includes several Arabidopsis forward genetic screens (Lahner et al., 2003 Nat. Biotechnol. 21:1215), a screen of 360 natural Arabidopsis accession, and a complete analysis of all 5153 strains of the yeast deletion collection (Danku et al., 2009 JAAS (in press)). We have successfully used PCR-based positional cloning, DNA microarray based approaches, QTL and association mapping to identify numerous genes that control the ionome (for example Rus et al., 2006 PLoS Genetics 2(12): e210; Baxter et al., 2008 PLoS Genetics 4(2):e1000004). Association of variation in these genes with the landscape in which these plants naturally grow is starting to reveal the genetic architecture underlying specific adaptations to the environment. We are also finding that specific ionomic “fingerprints” are associated with functionally related sets of genes, and also with the physiological status of the organism (Baxter et al., 2008 PNAS 105: 12081-12086). To maximize the value of this ionomics approach, we have developed a publicly searchable online database containing ionomic information on over 1000,000 samples from over 1500 different experiments (www.ionomicshub.org; Baxter et al., 2007 Plant Physiol 143: 600-611), and the database is being updated regularly.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 02 Feb 2009 00:00:00 -0500@@-->
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<title>Peter Gloor; Visualizing Social Networks to Discover Trends and Trendsetters</title>

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<link>http://www.slis.indiana.edu/media/net_sci_2009/ncs_01_26.mp3</link>

<itunes:summary>Networks and Complex Systems Spring 2009 (audio): This talk introduces Condor, a tool for dynamic semantic social network analysis, which has been developed for the last six years at the MIT Center for Collective Intelligence in collaboration with University of Cologne, Helsinki University of Technology and others. Condor includes a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new trends. Algorithms include the temporal computation of network centrality measures, the visualization of social networks as Cybermaps, a semantic process of mining and analyzing large amounts of text based on social network analysis, and sentiment analysis and information filtering methods. The temporal calculation of betweenness of concepts permits to extract and predict long-term trends on the popularity of relevant concepts such as brands, movies, and politicians. Among other examples, our approach will be illustrated by qualitatively comparing Web buzz and Web betweenness for the 2008 US presidential elections, as well as correlating the Web buzz index with share prices. See also: http://www.ickn.org.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
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information retrieval</itunes:keywords>


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<!--@@Wed, 19 Nov 2008 00:00:00 -0500@@-->
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<title>Filippo Menczer: Avalanche Dynamics of Online Popularity</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2008/ncs_11_17.mp3</link>

<itunes:summary>Networks and Complex Systems Fall 2008 (audio): Traditionally, information and opinions were filtered and amplified by two classes of trusted intermediaries: institutional media and our social networks of friends and family. The advent of social media is disrupting these mechanisms by fostering Web-mediated brokers such as blogs, wikis, folksonomies, and search engines, through which anyone can easily publish and promote content online. This "second age of information'' is driven more than ever before by the economy of attention. Popularity (the accumulation of attention) is its measure of success;  popular sources have formidable power to impact opinions, culture, and policy, as well as profit through online advertising. Yet the dynamical processes that drive popularity in our online world are still unclear and largely unexplored. Here we provide for the first time a quantitative, large scale, longitudinal analysis of the dynamics of different popularity measures for online content.  We analyze the evolution of two massive model systems, the Wikipedia and an entire country's Web space, finding that the temporal and magnitude behaviors of popularity follow statistical laws typical of critical avalanche processes, such as earthquakes and depinning phenomena. Such statistical features hold across measures, systems, and their histories. To make sense of these empirical results, we offer a model that mimicks with a simple random mechanism the exogenous shift of user attention and the ensuing non-linear perturbations in the popularity ranking of online resources. Remarkably this stylized model recovers the key features observed in the empirical analysis of the two model systems analyzed here. 
Joint work with Jacob Ratkiewicz, Santo Fortunato, Alessandro Flammini, and Alessandro Vespignani.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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Joint work with Jacob Ratkiewicz, Santo Fortunato, Alessandro Flammini, and Alessandro Vespignani.</dc:description>
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<!--@@Wed, 19 Nov 2008 00:00:00 -0500@@-->
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<title>Jon Duke: Illuminating the Fine Print: Visualizing Medication Side-Effects in Complex Multi-drug Regimens</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2008/ncs_11_03.mp3</link>

<itunes:summary>Networks and Complex Systems Fall 2008 (audio): Prescription drug use has increased markedly over the past several decades, with nearly half of Americans over 65 taking at least five medications daily. As these numbers grow, physicians are faced with the increasingly complex task of recognizing and addressing any adverse reactions associated with these treatments. Although information on drug side-effects is readily available, its sheer volume can be daunting: The average drug label contains over 75 potential reactions, and there are many drugs that report well over two-hundred. In this talk, I will discuss the development of an electronic tool which synthesizes adverse reaction data and provides doctors with clinically useful visualizations at the point of care. We will cover many of the challenges in creating such a system, including integration of quantitative and qualitative data, evaluation and iteration of the visualization approach, and actual implementation into physician workflow.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Thu, 13 Nov 2008 00:00:00 -0500@@-->
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<title>Eric T. Meyer: e-Research: A Social Informatics Perspective</title>

<itunes:author>t</itunes:author>

<link>http://www.slis.indiana.edu/media/rkcsi_2008/rkcsi_10_31.mov</link>

<itunes:summary>The Rob Kling Center for Social Informatics Speaker Series (video): e-Research, which is broadly defined to include distributed and collaborative ICT-enabled research practices across the physical and computational sciences, social sciences, and humanities is an active area of research and funding around the world. However, given the early stages of development of many e-Research projects, we know relatively little about their use and impact on actual research practices and outcomes. Lacking solid evidence, there is a general perception that the social science community in particular lacks a sufficient level of awareness of e-Research, and that this has contributed to a low take-up of advances in ICTs as tools for social research. This talk presents the results of several studies, including surveys and case studies, designed to understand research practices and awareness of e-Research, funding patterns and scholarly publication related to e-Research, and social issues arising from particular e-Research projects. Meyer concludes with a discussion about what social informatics (SI) offers for enhancing our understanding of e-Research. He will argue that employing a balanced view of the relationship between the social and the technical such as that offered by SI can help to understand broader patterns between technological configurations, human actors, resource flows, and the choices that are made about the design and implementation of e-Research technologies.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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<!--@@Mon, 06 Oct 2008 00:00:00 -0400@@-->
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<title>Ying Ding: Semantic Web Application: Music Retrieval</title>

<itunes:author>f</itunes:author>

<link>http://www.slis.indiana.edu/media/net_sci_2008/ncs_09_29.mp3</link>

<itunes:summary>Networks and Complex Systems Fall 2008 (audio): The vision of the Semantic Web is to lift current Web into semantic repositories where heterogeneous data can be queried and different services can be mashed up. The Web becomes a platform for integrating data and services. Ontology or agreed consensus is the key issue to achieve that. Especially in cultural heritage area, cross-media and cross-archival retrieval turn out to be the slogan in this area. The EASAIER project (European Union funded) aims to enable enhanced access to sound archives by providing multiple methods of retrieval, integration with other media archives and content enrichment. During this talk, I will share with you the development of this project.</itunes:summary>

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School of Library and Information Science, Indiana University, 
information architecture, Information Science, information systems, 
information technology, library science, librarian, library school, 
information retrieval</itunes:keywords>


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