"Dynamic visualization provides a unique bridge between disciplines and offers a way to synthesize information from myriad sources. Geographic Information Systems (GIS) has evolved into a highly sophisticated toolset for "situated knowledge." Location-based services utilizing technologies such as GPS and RFID tagging support the rise of spatially integrated information and are resulting in new visualization tools that provide a spatio-temporal context for multidisciplinary inquiry. New initiatives such as the Center for Spatially Integrated Social Science (CSISS), the Electronic Cultural Atlas Initiative (ECAI), the GeoVISTA Center, the Information Visualization Cyberinfrastructure (IVC), the CyberInfrastructure for the Geosciences (GEON) and the Alexandria Digital Library (ADL) extended Gazetteer protocol are converging to support the expansion of a new field of integrated visualization technologies. Geovisualization takes advantage of human map reading skills and encourages the assimilation of spatio-temporal information in a geographic context by showing patterns on multiple scales. Information visualization leverages similar cognitive skills towards analysis of ever-growing data repositories."

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Abstract: This talk will describe ongoing efforts to study the topological and dynamical properties of link, lexical, and semantic networks stemming from various features of the World Wide Web. I will outline what we think, what we know, what we can use regarding the structure and content of the Web, and what the future of intelligent Web search may bring.

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Abstract: The near ubiquitous use of computer media has stirred controversy about what is appropriate, possible, and efficient to do via these media. While many studies have looked at what use is made of CMC, studies have mainly examine aggregate views of single media, for example, looking at how email, bulletin boards, or blogs are used. This ignores the very real role of interpersonal ties on media use and relational maintenance, and the way multiple media support ties and group interactions.

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Abstract: Time course data can now be routinely collected for biochemical reaction pathways, and recently, we are proposing several methods to infer reaction mechanisms for metabolic pathways and networks. In this talk we provide a survey of techniques for determining reaction mechanisms for time course on the concentration or abundance of different reacting components, with little prior information about the pathways involved.

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Moderator: Prof. Howard Rosenbaum.

Doug Archer - Reference and Peace Studies Librarian at the Hesburgh Library of the University of Notre Dame and an ordained minister in the Church of the Brethren.

Mark Bruhn - IU's Chief IT Security and Policy Officer, reporting to the Vice President for Information Technology and Chief Information Officer.

Fred H. Cate - Distinguished Professor at the IU School of Law-Bloomington and director of the Indiana University Center for Applied Cybersecurity Research.

Sylvia Turchin - Western European Cataloging section head, IUB Libraries.

Abstract: In addition to topological complexity, real-world networks display a gradation in the intensity strength between nodes-the weights of the links. I will present results on two examples of transportation networks-the airline network and an inter-cities network. The nodes in these networks are locations and the weights represent the number of individuals going from one node to the other.

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Abstract: Fuzzy graphs are weighted graphs whose edges are characterized by weights in the unit interval. We discuss a particular type of fuzzy graphs which are reflexive and symmetrical (undirected) and are known as proximity graphs. We discuss how we build such graphs from co-occurrence data extracted from several electronic resources, and use them to represent knowledge in an associative manner. We show that such distributed knowledge representations are useful for information retrieval, text mining, and knowledge discovery tasks which we have applied to recommendation systems, social network analysis, and knowledge discovery in Biology.

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