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

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    Website http://asonam.im.nuk.edu.tw/ | Want to Edit it Edit Freely

    Category Social network; Data Mining; Web Mining; Social Network Analysis; WWW; AI; Machine Learning

    Deadline: March 15, 2011 | Date: July 25, 2011-July 27, 2011

    Venue/Country: Kaohsiung, Taiwan

    Updated: 2011-03-01 12:00:25 (GMT+9)

    Call For Papers - CFP

    Extended version of selected papers will be invited for publication in

    special issues of

    international journals and books after the conference.

    Journal of Universal Computer Science (SCI-indexed)

    Journal of Internet Technology (SCI-indexed)

    International Journal of Web Engineering and Technology(EI-indexed)

    Social Network Analysis and Mining

    Lecture Notes in Social Networks

    International Journal of Data Mining, Modelling and Management (IJDMMM)

    International Journal of Data Analysis Techniques and Strategies

    The 2011 International Conference on Advances in Social Network

    Analysis and Mining

    (ASONAM 2011)

    Kaohsiung, Taiwan

    July 25th~July 27th 2011

    http://asonam.im.nuk.edu.tw/

    CALL FOR PAPERS

    SUBMISSION DEADLINE : March 15st, 2011

    Proceedings published by the IEEE Computer Society Press, which are

    indexed by EI.

    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 medicine.

    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 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

    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

    Important dates

    March 15, 2011 Full paper submission deadline (Extended)

    April 8, 2011 Notification of acceptance

    April 20, 2011 Camera-ready paper due

    April 20, 2011 Presenting author registration due

    June 10, 2011 Discount registration for general public due

    July 25-27, 2011 Conference events

    Paper Submission

    Papers reporting original and unpublished research results pertaining

    to the above topics are solicited.

    Full paper submission deadline is March 15, 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

    http://www.easychair.org/conferences/?conf=asonam2011. If Web

    submission is not possible, manuscripts should be sent as an

    attachment via email to itingatnuk.edu.tw by March 15, 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.


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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