James A. Danowski jimd at uic.edu
Sat Feb 5 18:43:49 PST 2011



The International Conference on Advances in Social Network Analysis and
Mining (ASONAM 2011)


July 25-27, 2011 - Kaohsiung City, Taiwan

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.

The international conference on Advances in Social Network Analysis and
Mining (ASONAM 2011) will primarily provide an interdisciplinary venue
that will bring together practitioners and researchers from a variety of
SNAM fields to promote collaborations and exchange of ideas and practices.
ASONAM 2011 is intended to address important aspects with a specific focus
on the emerging trends and industry needs associated with social
networking analysis and mining. The conference solicits experimental and
theoretical works on social network analysis and mining along with their
application to real life situations.

General areas of interest to ASONAM 2011 include information science and
mathematics, communication studies, business and organizational studies,
sociology, psychology, anthropology, applied linguistics, biology and

More specialized topics within ASONAM 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
     Communities discovery and analysis in large scale offline social
     Connection between biological similarities and social network
     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
     Influence of cultural aspects on the formation of communities
     Knowledge networks
     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

Instructions for Authors
Papers reporting original and unpublished research results pertaining to
the above topics are solicited.

Full paper submission deadline is March 1, 2011. These papers will follow
an academic review process. Full paper manuscripts must be in English with
a maximum length of 8 pages (using the IEEE two- column 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 the conference Web site:
asonam2011.im.nuk.edu.tw. If Web submission is not possible, manuscripts
should be sent as an attachment via email to iting at nuk.edu.tw by March 1,
2011. The attachment must be in PDF or Word .doc format.

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. Paper submission implies that the intent is for one of
the authors to present the paper if accepted and that at least one of the
authors register for a full conference fee.

More information about the Air-L mailing list