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Data Mining for Social Network Data

  • Book
  • © 2010

Overview

Editors:
  1. Nasrullah Memon

    1. , Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark

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  2. Jennifer Jie Xu

    1. , Dept. Computer Information Systems, Bentley University, Waltham, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. David L. Hicks

    1. , Dept. Computer Science & Engineering, Aalborg University Esbjerg, Esbjerg, Denmark

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    You can also search for this editor in PubMed   Google Scholar

  4. Hsinchun Chen

    1. Eller College of Management, University of Arizona, Tucson, USA

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    You can also search for this editor in PubMed   Google Scholar

  • Using machine learning techniques to analyze social networks
  • A multidisciplinary source, which will draw the interest of researchers and students in sociology, computer science and statistics
  • The research outcome will be of value to study different problems of social impact including market analysis, terrorist groups, etc.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Annals of Information Systems (AOIS, volume 12)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
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  2. Social Network Data Mining: Research Questions, Techniques, and Applications

    • Nasrullah Memon, Jennifer Jie Xu, David L. Hicks, Hsinchun Chen
    Pages 1-7

  3. Automatic Expansion of a Social Network Using Sentiment Analysis

    • Hristo Tanev, Bruno Pouliquen, Vanni Zavarella, Ralf Steinberger
    Pages 9-29

  4. Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis

    • James A. Danowski, Noah Cepela
    Pages 31-46

  5. A Social Network-Based Recommender System (SNRS)

    • Jianming He, Wesley W. Chu
    Pages 47-74

  6. Network Analysis of US Air Transportation Network

    • Guangying Hua, Yingjie Sun, Dominique Haughton
    Pages 75-89

  7. Identifying High-Status Nodes in Knowledge Networks

    • Siddharth Kaza, Hsinchun Chen
    Pages 91-107

  8. Modularity for Bipartite Networks

    • Tsuyoshi Murata
    Pages 109-123

  9. ONDOCS: Ordering Nodes to Detect Overlapping Community Structure

    • Jiyang Chen, Osmar R. Zaïane, Jörg Sander, Randy Goebel
    Pages 125-148

  10. Framework for Fast Identification of Community Structures in Large-Scale Social Networks

    • Yutaka I. Leon-Suematsu, Kikuo Yuta
    Pages 149-175

  11. Geographically Organized Small Communities and the Hardness of Clustering Social Networks

    • Miklós Kurucz, András A. Benczúr
    Pages 177-199

  12. Integrating Genetic Algorithms and Fuzzy Logic for Web Structure Optimization

    • Iltae Lee, Negar Koochakzadeh, Keivan Kianmehr, Reda Alhajj, Jon Rokne
    Pages 201-215
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About this book

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the forefront of information science. This proposed Special Issue on Data Mining for Social Network Data will present a broad range of recent studies in social networking analysis. It will focus on emerging trends and needs in discovery and analysis of communities, solitary and social activities, activities in open for a and commercial sites as well. It will also look at network modeling, infrastructure construction, dynamic growth and evolution pattern discovery using machine learning approaches and multi-agent based simulations. Editors are three rising stars in world of data mining, knowledge discovery, social network analysis, and information infrastructures, and are anchored by Springer author/editor Hsinchun Chen (Terrorism Informatics; Medical Informatics; Digital Government), who is one of the most prominent intelligence analysis and data mining experts in the world.

Editors and Affiliations

  • , Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense M, Denmark

    Nasrullah Memon

  • , Dept. Computer Information Systems, Bentley University, Waltham, USA

    Jennifer Jie Xu

  • , Dept. Computer Science & Engineering, Aalborg University Esbjerg, Esbjerg, Denmark

    David L. Hicks

  • Eller College of Management, University of Arizona, Tucson, USA

    Hsinchun Chen

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