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Background and Scope
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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.
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 Networks include, but are not limited to the
following:
? 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

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Important Dates:
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Submission deadline: July 1, 2011
Notification: September 1, 2011
Final Version due: November. 1, 2011
Publication: Early 2012
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Submission Guidelines
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Manuscript preparation: Instructions for Authors:
http://www.springer.com/computer/database+management+%26+information+retrieval/journal/11280
Manuscript submission: http://www.editorialmanager.com/wwwj/
When submitting, select SI: Social Networks & Social Web Mining.

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