GUESS Manual. The Graph Exploration System version 0.5 (beta) Eytan Adar 1. GUESS features This tool is/includes: A completely refactored version of the Zoomgraph graph visualization system. This tool isn’t: A replacement to UCINET, Pajek, whatever else you may be using. 1. 2. 2.1 Installation. 4 2.2 Running. 4 3. 4. 4.1 The GUESS .gdf format 9 4.2 GraphML. 12 5. 5.1 Queries. 14 5.2 The Information Window.. 15 6. 7. 7.1 Clustering. 20 7.2 Visualizing Fields. 20 7.3 Field, Graph, Node, Edge Statistics. 20 7.4 Random Graph Generation. 21 8. 9. 10. 11. 12. 13. 14. 15. 15.1 Example 1: A Simple Button. 32 15.2 Example 2: A Threshold Slider 33 15.3 Example 3: A Network Monitor 35 15.4 Example 4: Remote control of GUESS. 38 15.5 Responding to clicks and other code bits. 39 16. 16.1 Signing GUESS. 40 16.2 Compiling Your Code. 40 16.3 Advanced Applet Features. 41 17. 18.
Appendix A. 2. 2.1 Installation You’re going to need 3 things: The Java runtime (version 1.4+). We’ve included a sample guess.bat script which will launch GUESS. 3. Lubrifix's socialnetworks_statistics Bookmarks on Delicious. Visualizing Social Networks… in Excel. In the spirit of attending OPCs - “other people’s conferences”, conferences where you’re invited, but not part of the demographic/professional group the conference is aimed at - I’m now at the Microsoft Research Faculty Summit. I’m not a computer scientist, not university teaching faculty, and I’m not doing any research sponsored by Microsoft… all of which turns out to be okay, as it’s a pretty interesting gathering looking at current research topics in computer science, with a strong emphasis on the study of social networks… something that interest me, even if I’m not doing a ton of active work on the topic.
This emphasis on social network studies helps explain why I’m currently sitting in a packed conference room, learning about an extension to Excel. Even at Microsoft conferences, Excel extensions don’t usually get this type of attention. But the extension, .NetMap, has been developed by Marc A. Social Network Analysis. Social Network Analysis: Introduction and Resources What is Social Network Analysis? Network Data Collection and Representation Network Theories Analysis of Network Data Software Applications Books and Journals Article References Selected Online SNA Portals Ulrike Gretzel November, 2001 What is Social Network Analysis?
Social network analysis is based on an assumption of the importance of relationships among interacting units. Actors and their actions are viewed as interdependent rather than independent, autonomous units Relational ties (linkages) between actors are channels for transfer or "flow" of resources (either material or nonmaterial) Network models focusing on individuals view the network structural environment as providing opportunities for or constraints on individual action Network models conceptualize structure (social, economic, political, and so forth) as lasting patterns of relations among actors Wasserman, S. and K. Scott, J., 1992, Social Network Analysis. Index Network Theories. Prof. Hendrik Speck - Social Network Analysis. Projects - *ORA. Overview | Sponsors | Hardware Requirements | Software | Training & Sample Data *ORA-LITE is a dynamic meta-network assessment and analysis tool developed by CASOS at Carnegie Mellon. It contains hundreds of social network, dynamic network metrics, trail metrics, procedures for grouping nodes, identifying local patterns, comparing and contrasting networks, groups, and individuals from a dynamic meta-network perspective.
*ORA-LITE has been used to examine how networks change through space and time, contains procedures for moving back and forth between trail data (e.g. who was where when) and network data (who is connected to whom, who is connected to where …), and has a variety of geo-spatial network metrics, and change detection techniques.
*ORA-LITE can handle multi-mode, multi-plex, multi-level networks. Based on network theory, social psychology, operations research, and management theory a series of measures of “criticality” have been developed at CMU. Introduction to social network methods: Chapter 17: Two-mode. Introduction to Social Network Methods 17. Two-mode networks This page is part of an on-line text by Robert A. Hanneman (Department of Sociology, University of California, Riverside) and Mark Riddle (Department of Sociology, University of Northern Colorado). Feel free to use and distribute this textbook, with citation.
Your comments and suggestions are very welcome. Send me e-mail. Contents of chapter 17: Two-mode networks Introduction For a classic study of the American south (Deep South, University of Chicago Press, 1941), Davis and his colleagues collected data on which of 18 women were present at each of the 14 events of the "social season" in a community. The Davis study is an example of what Ron Breiger (1974) called "The duality of persons and groups. " The data used for social network analysis, most commonly, measure relations at the micro level, and use analysis techniques to infer the presence of social structure at the macro level.
The Davis data is a bit different. Figure 17.1.