Thisyear'svolumeofAdvancesinWebMiningandWebUsageAnalysiscontains thepostworkshopproceedingsofajointevent, the9thInternationalWorkshopon Knowledge Discovery from the Web (WEBKDD 2007) and the First SNA-KDD Workshop on Social Network Analysis (SNA-KDD 2007). The joint workshop on Web Mining and Social Network Analysis took place at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). It attracted 23 submissions, of which 14 were accepted for presentation at the workshop. Eight of them have been extended for inclusion in this volume. WEBKDD is one of the most traditional workshops of the ACM SIGKDD internationalconference, under the auspices of which it has been organizedsince 1999. The strong interest for knowledge discovery in the Web, fostered not least by WEBKDD itself, has led to solutions for many problems in the Web's p- mature era. In the meanwhile, the Web has stepped into a new era, where it is experienced as a social medium, fostering interaction among people, enabling and promoting the sharing of knowledge, experiences and applications, char- terized by group activities, community formation, and evolution. The design of Web 2. 0 re? ects the socialcharacterof the Web, bringing new potential and new challenges. The 9th WEBKDD was devoted to the challenges and opportunities of mining for the social Web and promptly gave rise to the joint event with the First Workshop on Social Network Analysis (SNA-KDD). Social network research has advanced signi? cantly in the last few years, strongly motivated by the prevalence of online social websites and a variety of large-scale o? ine social network systems.
Inhaltsverzeichnis
Spectral Clustering in Social Networks. - Looking for Great Ideas: Analyzing the Innovation Jam. - Segmentation and Automated Social Hierarchy Detection through Email Network Analysis. - Mining Research Communities in Bibliographical Data. - Dynamics of a Collaborative Rating System. - Applying Link-Based Classification to Label Blogs. - Why We Twitter: An Analysis of a Microblogging Community. - A Recommender System Based on Local Random Walks and Spectral Methods.
