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 overseas Workshop on Mining net 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 along side the thirteenth ACM SIGKDD overseas convention on wisdom Discovery and information Mining, KDD 2007.
The eight revised complete papers awarded including a close preface went via rounds of reviewing and development and have been rigorously chosen from 23 preliminary submisssions. the improved papers deal with all present concerns in internet mining and social community research, together with conventional net and semantic net functions, the rising functions of the net as a social medium, in addition to social community modeling and analysis.
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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Additional 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
1. 1 The Innovation Jam Process IBM’s Innovation Jam was designed to take part over two phases. Phase 1 took place July 24-27, 2006 and primarily focused on idea creation and development. Unlike previous IBM Jams where preparation was not necessary, the Jam required familiarization with emerging technologies which were described in online materials made available to participants prior to the event. 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.
1348562 H. Zhang et al. ): WebKDD/SNA-KDD 2007, LNCS 5439, pp. 40–58, 2009. c Springer-Verlag Berlin Heidelberg 2009 Segmentation and Automated Social Hierarchy Detection 41 Identifying individual entities is straightforward process, but the relationships between entities, or corporate hierarchy is not a straightforward task. Corporate entity charts sometimes exist on paper, but they do not reﬂect the day to day reality of a large and dynamic corporation. Corporate insiders are aware of these private relationships, but can be hard to come by, especially after an investigation.
As a result, large companies are focusing extensively on innovation as a signiﬁcant driver of the new ideas necessary to remain competitive in this evolving business climate. Of course, the broader issue is how does a company foster innovation, and speciﬁcally how do we identify, extend, and capitalize on the new ideas that are created? With the wide use of worldwide web, people are provided a much more convenient and quick means for communication so that much larger and richer “virtual” social networks are formed, such as “MySpace”, “Facebook” and “LinkedIn”.
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 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.)