Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis

摘要: The first generation of the World Wide Web has been characterized by interaction between user and medium: sites offer information services; new applications even business models emerged for institutions that a better search experience, more well-informed purchase decisions and, recently, sharing collaborative treatment content. next is reflected in proliferating platforms collaboration design 2.0, which proactively oriented towards social activities Web. The flair poses challenges data mining community. Social networking phenomenon scientific interest per se; there demand flexible robust community discovery technologies but also interdisciplinary research on rules behavioral patterns emerge characterize formation evolution. Further, individual; assistance ultimately, personalization broad scope activities, including traditional documents, less multimedia content similar people answers to poorly articulated needs. Moreover, misuse potential formations cannot be stressed enough: People are confronted with unreliable or malicious content, surveillance stealth personal data; detection protection mechanisms needed here, based deep understanding misbehavior. Finally, diversity structures must kept mind: take many forms, wikis folksonomies where contribute semantically rich annotations enrich existing bulletin boards fora seek advice establish contacts, implicit communities found auction among reviewers products these reputation trust play mission-critical role. Data miners expected deliver solutions searching, personalizing, protecting those structures. In addition online communities, this joint workshop will invite submissions generic network systems, modeling, growth evolution dynamics networks, graph-related algorithms, multi-agent simulation, trend prediction evolution, related domains. The WEBKDD SNA-KDD '2007 aims bring together practitioners researchers specific focus emerging trends industry needs associated Web, other forms systems. This includes (1) advances analysis solitary (like search) friends), behavior open conventional sites, blogs fora) commercial e-auctions) security privacy-preservation challenges; (2) scalable, customizable infrastructure construction , dynamic identification using machine learning approaches simulation.