Joint 9th WebKDD and 1st SNA-KDD Workshop

Workshop on
Web Mining and Social Network Analysis

Held in conjunction with
The 13th ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD 2007)

August 12-15, 2007, San Jose , California

Call for Papers Instructions for Authors Accepted Papers Workshop Program Program Committee Past WebKDD workshops

Announcement:
Keynote Speaker: Dr. Raghu Ramakrishnan ,
Yahoo! Vice President and Yahoo! Research Fellow
Title and abstract to be available shortly

Workshop Description    Top

In recent years, social network research has advanced significantly, thanks to the prevalence of the online social websites and instant messaging systems. People perceive the Web increasingly as a social medium that fosters interaction among people, sharing of experiences and knowledge, group activities, community formation and evolution.

The social flair of the Web poses new challenges for the data mining community. Social networking in the Web is a phenomenon of scientific interest per se; there is demand for flexible and robust community discovery technologies but also for interdisciplinary research on the rules and behavioral patterns that emerge and characterize community formation and evolution. Further, the social Web poses challenges for the individual; assistance �C and ultimately, personalization �C is needed for a broad scope of activities, including the traditional search for documents, the less traditional search for multimedia content and the search for similar people and for answers to poorly articulated information needs. Moreover, the misuse potential of social formations cannot be stressed enough: People are confronted with unreliable or even malicious content, with surveillance and even stealth of information and of personal data; detection and protection mechanisms are needed here, based on a deep understanding of patterns of misuse and misbehavior. Finally, the diversity of social structures in the Web must be kept in mind: Social structures in the Web take many forms, including wikis and folksonomies where people contribute semantically rich content, platforms for collaborative annotations where people enrich existing content, bulletin boards and similar fora where people seek for advice but also establish new contacts, but also the implicit communities to be found in auction platforms and among the reviewers of products and services; these are communities where reputation and trust play a mission-critical role. Data miners are expected to deliver solutions for the challenges in searching, personalizing, understanding and protecting those social structures.

The Joint 9th WEBKDD and 1st SNA-KDD Workshop 2007 aims to bring together practitioners and researchers with a specific focus on the emerging trends and industry needs associated with the traditional Web, the social Web, and other forms of social networking systems. The workshop solicits experimental and theoretical work on Web mining and social network analysis, including (1) data mining advances on the discovery and analysis of communities, on personalization for solitary activities (like search) and social activities (like discovery of potential friends), on the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions) and on the associated security and privacy-preservation challenges; (2) social network modeling, scalable, customizable social network infrastructure construction , dynamic growth and evolution patterns identification and discovery using machine learning approaches or multi-agent based simulation.

In addition to paper presentations and depending on time limitations, we will solicit an invited talk or a panel that will stress the interdisciplinary challenges of the social Web.

Workshop Topics    Top

The Joint 9th WEBKDD and 1st SNA-KDD '2007 Workshop solicits contributions on Web mining and social network analysis, including traditional Web and Semantic Web applications, the emerging applications of the Web as a social medium, as well as social network modeling and analysis. Papers should elaborate on data mining or related methods, issues associated to data preparation and pattern interpretation, both for conventional data (usage logs, query logs, document collections) and for multimedia data (pictures and their annotations, multi-channel usage data). Topics of interest include but are not limited to:  

  • Web communities
  • Personalization for search and for social interaction
  • Recommendations for product purchase,
  • information acquisition and establishment of social relations
  • Recommendation networks
  • Data protection inside communities
  • Misbehavior detection in communities
  • Web mining algorithms for clickstreams, documents and search streams
  • Preparing data for web mining
  • Pattern presentation for end-users and experts
  • Evolution of patterns in the Web
  • Evolution of communities in the Web
  • Community discovery in large-scale social networks
  • Dynamics and evolution patterns of social networks, trend prediction
  • Contextual social network analysis
  • Temporal analysis on social networks topologies
  • Search algorithms on social networks
  • Multi-agent based social network modeling and analysis
  • Large-scale graph algorithms
  • Applications of social network analysis
  • Anomaly detection in social network evolution
Paper Submission    Top

All submissions must be made electronically at the paper submission website.

Papers should be no longer than 10 pages inclusive of all references and figures. Papers should be submitted in ACM proceedings format (two columns, 9pt font, approx. 1in margins). Please use the prescribed formatting guidelines of KDD (ACM Proceedings) which can be found at: http://www.acm.org/sigs/pubs/proceed/template.html.

All papers must be submitted in either PDF (preferred) or postscript. Please ensure that any special fonts used are included in the submitted documents. All papers must be original, and have not been published elsewhere.

The workshop proceedings will be published by the ACM Digital Library and distributed during the workshop.

Authors of accepted papers will be invited to submit an extended version of their papers to be published as a book chapter in an approved edited volume by Springer-Verlag after a second round of reviews. The volume will be a wrap up of the most recent developments in Web Mining.

 

 

Important Dates (New Deadline)   Top
  • June 4th(May 31) , 2007: Electronic submission of full papers & abstracts
  • June 23, 2007: Author notification
  • July 6, 2007: Submission of Camera-ready papers
  • August 12, 2007: Workshop in San Jose , California
Workshop Co-Chairs    Top

Note: for inquiries please send e-mail to mobasher @ cs.depaul.edu and hzhang @ ist. psu.edu


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