WWWJ 2011 - World Wide Web Journal Special Issue on Social Neworks and Social Web Mining

World Wide Web Journal Special Issue on Social Neworks and Social
Web Mining

CALL FOR PAPERS

World Wide Web Journal (WWWJ) - Springer
http://www.springer.com/computer/database+manageme...
Special Issue on
Social Networks & Social Web Mining
CFP in PDF: http://www.springer.com/cda/content/document/cda_d...

Background and Scope

Nowadays the emergence of web-based communities and hosted services
such as social networking sites ? Facebook, LinkedIn, wikis ?
Wikipedia, microblogging - Twitter and folksonomies ? Delicious,
Flickr and so on, brings in tremendous freedom of Web autonomy and
facilitate collaboration and sharing between users. And along with the
interactions between users and computers, social Web is rapidly
becoming an important part of our digital experience, ranging from
digital textual information to rich multimedia formats.

Social networks have played an important role in different domains for
about one decade, particularly involved in a broad range of social
activities like user interaction, establishing friendship
relationships, sharing and recommending resources, suggesting friends,
creating groups and communities, commenting friends activities and
opinions and so on. In recent years, rapid progress has been made in
the study of social networks for diverse applications, such as user
profiling in Facebook and group recommendation via Flickr.
These aspects and characteristics form the most active and challenging
parts of Web 2.0. a large amount of challenges and opportunities have
arisen with the propagation and popularity of new applications and
technologies. A prominent challenge lies in modeling and mining this
vast volume of data to extract, represent and exploit meaningful
knowledge, and to leverage structures and dynamics of emerging social
networks residing in the social Web, especially social media. Social
networks and social Web mining combines data mining with social Web
computing as a promising direction and offers unique opportunities for
developing novel algorithms and tools ranging from text and content
mining to link mining and community detection and so on.
The primary goal of this special issue is to showcase the cutting edge
research advances on the intersection of Social Web, Social Network
and Data mining, in order to provide a landscape of research
progresses and application potentials in related areas. We are
interested in not only, the papers with strong algorithmic
innovations, but also the works with solid application-oriented
experiment evaluations. More specialized topics within Social Web
Mining and Social Network include, but are not limited to the
following:
? Computational models for social media
? Computational models for social media
? Graph and matrix methods for computational social science
? Probabilistic models for computational social science
? Information acquisition and establishment of social relations
? Data management in collaborative open applications
? Collaborative filtering and content ranking using social media
? Group interaction, collaboration, and recommendation
? Web2.0 and Collaborative Tagging
? Link analysis and network structure discovery
? Community detection and evolution
? Search in social networks and social media
? Interoperability among social applications and social media
? Techniques for social network analysis/mining and for the analysis
of social media phenomena
? Blog search and retrieval
? User behaviour modeling
? Social media analysis
? Social aspects of Blogosphere
? Web mining algorithms and Web communities
? Semantic Web
? Semantic Web Mining
? Adversarial blogging and counter measures
? Contextual advertising
? Opinion mining
? Sentiment and Search
? Social navigation and visualization
? Application of social Web mining
? Applications of social network analysis

Important Dates:

Submission deadline: July 15, 2011
Notification: September 15, 2011
Final Version due: November. 15, 2011
Publication: Early 2012

Submission Guidelines

Manuscript preparation: Instructions for Authors:
http://www.springer.com/computer/database+manageme...
Manuscript submission: http://www.editorialmanager.com/wwwj/
When submitting, select SI: Social Networks & Social Web Mining.

Guest Editors

Guandong Xu, Victoria University, Australia,
guandong.xu-AT-vu.edu.au
Jeffrey Xu Yu, Chinese University of Hong Kong, Hong Kong,
yu-AT-se.cuhk.edu.hk