By Miklós Kurucz, András A. Benczúr (auth.), Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen (eds.)

This booklet constitutes the completely refereed post-workshop lawsuits of the ninth foreign Workshop on Mining internet facts, WEBKDD 2007, and the first overseas Workshop on Social community research, SNA-KDD 2007, together held in St. Jose, CA, united states in August 2007 along side the thirteenth ACM SIGKDD overseas convention on wisdom Discovery and knowledge Mining, KDD 2007.

The eight revised complete papers provided including a close preface went via rounds of reviewing and development and have been rigorously chosen from 23 preliminary submisssions. the improved papers tackle all present matters in internet mining and social community research, together with conventional internet and semantic net functions, the rising purposes of the net as a social medium, in addition to social community modeling and analysis.

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Read Online or Download Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers PDF

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Extra info for Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop on Social Networks Analysis, SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised Papers

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Individual contributions to the Jam came in the form of “postings,” or messages in reply to other contributors and to questions posed under a moderated topic area. As shown in Figure 1, groups of such postings are defined as “threads”. For five weeks following Phase 1 of the Innovation Jam, a multi-discipline, international cross-IBM team analyzed more than 37,000 Phase 1 posts to identify the most promising suggestions, resulting in 31 identified topics or “big ideas” as listed in Table 4. Taking the raw ideas from Phase 1 and transforming them into real products, solutions and partnerships to benefit business and society was the focus of Innovation Jam Phase 2, September 12-14, 2006, which involved more focused sessions where participants refined ideas.

2. 3. 4. 5. 6. 7. 8. 9. number of emails average response time response score number of cliques raw clique score weighted clique score degree centrality clustering coefficient mean of shortest path length from a specific vertex to all vertices in the graph 10. betweenness centrality 11. “Hubs-and-Authorities” importance Finally, these weighted contributions are then normalized over the chosen weights wx to compute the social score as follows: S= wx · Cx all x wx all x This gives us a score between 0 and 100 with which to rank every user into an overall ranked list.

The observed network structure suggests that the individual Jam contributors are not focused on a single thread but rather seem to ‘browse’ between threads Looking for Great Ideas: Analyzing the Innovation Jam 29 Orgnizational Distances Between Messaging Pairs 12% Percentage 10% 8% 6% 4% 2% 0% 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Distance Fig. 6. 0 0 500 Frequency 1000 1500 2000 2500 Histogram of Propensity to Join New Thread ++ +++ ++ + ++ ++ +++++++++++ ++ ++ + + ++ + + ++ + + +++++ +++ ++++++ ++++ ++ ++++++++ + + +++++ +++ + + +++ +++++ ++ ++ +++ +++++++++++++ ++ + ++++++++++++++++ ++ + ++++++++ + +++ + + ++ ++++++++++++++++ + + + ++ + +++++ +++ ++ + ++++++++++++ + + + + + + +++++++++++++ ++ +++ + + ++ + ++ + ++++++++ ++++ ++ + + + + +++++ + + + ++ +++ ++ + + + + + + + + + + +++++ ++ ++ + ++ 0 20 40 60 + + + + 80 100 120 Number of Postings per Contributor Fig.

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