Networks 2011 - Call for Book Chapters--Social Networks Analysis and Mining: foundations and applications by Springer Verlag

Call for Book Chapters--Social Networks Analysis and Mining:
foundations and applications by Springer Verlag

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message)

The study of social networks originated in social and business
communities. In recent years, social network research has advanced
significantly; the development of sophisticated techniques for Social
Network Analysis and Mining (SNAM) has been highly influenced by the
online social Web sites, email logs, phone logs and instant messaging
systems, which are widely analyzed using graph theory and machine
learning techniques. 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.

This has led to a rising prominence of SNAM in academia, politics,
homeland security and business. This follows the pattern of known
entities of our society that have evolved into networks in which
actors are increasingly dependent on their structural embedding.

General areas of interest to the book include information science and
mathematics, communication studies, business and organizational
studies, sociology, psychology, anthropology, applied linguistics,
biology and medicine. More specialized topics within Social Network
Analysis and Mining include, but are not limited to:

* Anomaly detection in social network evolution
* Application of social network analysis
* Application of social network mining
* Communities discovery and analysis in large scale online
social networks
* Communities discovery and analysis in large scale offline
social networks
* Connection between biological similarities and social network
formulation
* Contextual social network analysis
* Contextual social network mining
* Crime data mining and network analysis
* Cyber anthropology
* Dark Web
* Data protection inside communities
* Detection of communities by document analysis
* Dynamics and evolution patterns of social networks
* Economical impact of social network discovery
* Evolution of patterns in the Web
* Evolution of communities in the Web
* Evolution of communities in organizations
* Geography of social networks
* Impact of social networks on recommendations systems
* Information acquisition and establishment of social relations
* Knowledge networks
* Influence of cultural aspects on the formation of communities
* Large-scale graph algorithms for social network analysis
* Misbehavior detection in communities
* Migration between communities
* Multi-agent based social network modeling and analysis
* Open source intelligence
* Pattern presentation for end-users and experts
* Personalization for search and for social interaction
* Preparing data for Web mining
* Political impact of social network discovery
* Privacy, security and civil liberty issues
* Recommendations for product purchase, information acquisition
and establishment of social relations
* Recommendation networks
* Scalability of social networks
* Scalability of Search algorithms on social networks
* Social and cultural anthropology
* Social geography
* Social psychology of information diffusion
* Temporal analysis on social networks topologies
* Visual representation of dynamic social networks
* Web mining algorithms
* Web communities

Tentative deadlines
Papers reporting original and unpublished research results pertaining
to the above topics are solicited. Full paper submission deadline is
February 15, 2010. These papers will follow an academic review
process. Full paper manuscripts must be in English with a maximum
length of 20pages (using the LNCS template). Submissions should
include the title, author(s), affiliation(s), e-mail address(es), tel/
fax numbers, abstract, and postal address(es) on the first page.
Papers should be submitted to Nasrullah Memon via email to
memon-AT-mmmi.sdu.dk by February 15, 2010. The attachment must be in
PDF.

Papers will be selected based on their originality, timeliness,
significance, relevance, and clarity of presentation. Authors should
certify that their papers represent substantially new previously
unpublished work.