Download Advances in Web Mining and Web Usage Analysis: 9th by Miklós Kurucz, András A. Benczúr (auth.), Haizheng Zhang, PDF

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 ebook constitutes the completely refereed post-workshop court cases of the ninth foreign Workshop on Mining internet information, 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 together with the thirteenth ACM SIGKDD overseas convention on wisdom Discovery and information Mining, KDD 2007.

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

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Read 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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Like [6], the version of the dataset we use to conduct our own research was treated and provided by Shetty and Adibi from ISI [29]. Our final main dataset has 149 users after cleaning. We call this dataset as the ENRON dataset. The ISI treatment of the Enron corpus consisted of deleting extraneous, unneeded emails and fixing some anomalies in the collection data having to do with empty or illegal user email names and bounced emails messages. In addition duplicates and blank emails were removed. We also used a suplementary file provided by [29] to assign the position of each user.

G, messages per poster). 3. The organizational relationships between the contributors. Since the vast majority of contributors were IBM employees, we can make use of the online directory of worldwide IBM employees (known as Blue Pages), to capture the organizational and hierarchical relationships between the contributors in each thread, in each Big Idea, etc. 4 Social Network and Dynamics in the Jam Interactions Let us take a closer look at the social aspect of the Jam domain and in particular how the network of interactions between contributors evolves over time.

The hourly count of contributions remains fairly stable over the 3 day period. In the sequel we will consider the social network of contributors where every node is a contributor and a directed link from person A to person B is present if A directly responded to B. We can extract this relationship from the posting identifiers and the provided identifier of the parent posting. Here, social behavior is modeled as a network in an approach similar to [1]. The resulting social Jam network is shown for a number of points in time (2 hours, 3 hours, 4 hours and 10 hours after start of Jam) in Figure 5.

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