CFP: Web Mining and Social Network Analysis - Joint WebKDD and SNA-KDD Workshop

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             Joint 9th WebKDD and 1st SNA-KDD Workshop  
             on Web Mining and Social Network Analysis 
 
      http://workshops.socialnetworkanalysis.info/websnakdd2007/ 
 
               August 12, 2007, San Jose, California 
                                           
                          CALL FOR PAPERS 
 
          At the 13th ACM SIGKDD International Conference on 
          Knowledge Discovery and Data Mining (KDD 2007) 
            
             August 12-15, 2007, San Jose, California 
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Important Dates 
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o May 31 , 2007:   Electronic submission of full papers 
o June 23, 2007:   Author notification 
o July 6, 2007:    Submission of Camera-ready papers 
o August 12, 2007: Workshop in San Jose, California 
 
Workshop Description 
==================== 
In recent years, social network research has advanced significantly, 
thanks to the prevalence of the online social Web sites 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 and personalization is 
needed for a broad scope of activities, including the traditional 
search for documents, as well as for multimedia content or similar 
people. Other challenges include the effective detection and 
handling of unreliable or malicious content; dealing with the 
diversity of social structures in the Web including wikis and 
folksonomies where people contribute semantically rich content; 
analyzing implicit communities that arise in auction platforms and 
among the reviewers of products and services; considering the role 
of reputation and trust; and many more. 
 
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. 
 
Publication of the Workshop Proceedings:  The workshop notes will 
be published on hard copy and distributed during the workshop. The 
full extended version of the accepted papers will be published, 
pending approval, by Springer-Verlag after a second round of reviews. 

Workshop Topics 
=============== 
The joint workshop of WEBKDD and SNA-KDD '2007 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. Topics 
of interest include but are not limited to: 
 
o Web communities 
o Personalization for search and for social interaction 
o Recommendations for product purchase, information acquisition 
  and establishment of social relations 
o Recommendation networks 
o Data protection inside communities 
o Misbehavior detection in communities 
o Web mining algorithms for clickstreams, documents and search streams 
o Preparing data for web mining 
o Pattern presentation for end-users and experts 
o Evolution of patterns in the Web 
o Evolution of communities in the Web 
o Community discovery in large-scale social networks 
o Dynamics and evolution patterns of social networks, trend prediction 
o Contextual social network analysis 
o Temporal analysis on social networks topologies 
o Search algorithms on social networks 
o Multi-agent based social network modeling and analysis 
o Large-scale graph algorithms 
o Application of social network analysis 
o Anomaly detection in social network evolution 
 
Paper Submission 
================ 
Papers must be submitted in PDF using the online submission Web site:
http://www.easychair.org/WEBKDDSNAKDD07/.

The workshop proceedings are distributed to the SIGKDD'07 attendees 
who register for the workshop. Note that registration for the 
workshop is free to the conference attendees. 
 
Authors of accepted papers will be invited to submit a full version 
of their accepted papers to be published as a chapter in an edited 
book to be published by Springer-Verlag after a second round of 
reviews pending approval. 
 
Co-Chairs of Joint 9th WebKDD and 1st SNA-KDD Workshop: 
Web Mining and Social Network Analysis 
 
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Lee Giles             Pennsylvania State University, USA 
Andrew McCallum,      University of Massachusetts, Amherst, USA 
Bamshad Mobasher,     DePaul University, USA 
Olfa Nasraoui,        University of Louisville, USA 
Myra Spiliopoulou,    Otto-von-Guericke-University Magdeburg, Germany 
Jaideep Srivastava,   University of Minnesota, USA 
John Yen              Pennsylvania State University, USA 
Haizheng Zhang        Pennsylvania State University, USA 
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