Advances in Web Mining and Web Usage Analysis: 9th by Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee

By Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen

This publication constitutes the completely refereed post-workshop court cases of the ninth foreign Workshop on Mining internet information, WEBKDD 2007, and the first foreign Workshop on Social community research, SNA-KDD 2007, together held in St. Jose, CA, united states in August 2007 at the side of 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 handle all present concerns in net mining and social community research, together with conventional internet and semantic net purposes, the rising functions of the internet as a social medium, in addition to social community modeling and analysis.

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Degree centrality or degree of a vertex vi : deg(vi ) = j aij where aij is an element of the adjacent matrix A of G . 2|{eij }| n – Clustering coefficient: C = n1 i=1 CCi , where CCi = deg(vi )(deg(v : i )−1) vj ∈ Ni , eij ∈ E. Each vertex vi has a neighborhood N defined by its immediately connected neighbors: Ni = {vj } : eij ∈ E. – Mean of shortest path length from a specific vertex to all vertices in the . graph G: L = n1 j dij , where dij ∈ D, D is the geodesic distance matrix (matrix of all shortest path between every pair of vertices) of G, and n is the number of vertices in G.

Unlike more unstructured discussions, the person’s response is then only associated with the message he or she chose to reply to. Through studies focusing on usenet groups and online forums, a great deal is known about the types of social structures that may develop within such communities. Indeed, it has been observed that depending on discussion topics, group membership and other features of a usenet group or forum, differing social structures may develop. For instance, Turner et al. [15] show that newsgroups vary a great deal based on the amount of time individuals spend on a single visit, and the longevity of individuals’ involvement in the groups themselves.

Of Messages 37037 8661 No. of Contributors 13366 3640 No. of Threads 8674 254 No. of Threads with no response 5689 0 No. of Threads with ≤10 responses 2673 60 No. of Threads with ≥100 responses 56 12 26 W. Gryc et al. Percentage of Messages in Each Forum 45 40 40 Percentage 35 32 30 25 23 22 23 20 18 20 22 Phase 1 Phase 2 15 10 5 0 A Better Planet Finance & Commerce Going Places Staying Healthy Fig. 2. Percentage of messages in each forum for Phase 1 and Phase 2 Percentage Percentage of Contributors 50 45 40 35 30 25 20 15 10 5 0 Phase 1 Phase 2 1 2 3 4 5 6 7 8 9 10 Number of Responses Fig.

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