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From Sociology to Computing in Social Networks

Theory, Foundations and Applications

  • Book
  • © 2010

Overview

Editors:
  1. Nasrullah Memon

    1. The Maersk Mc-Kinney Moller Institute, Odense, Denmark

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  2. Reda Alhajj

    1. Department of Computer Science, University of Calgary, Calgary, Canada

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    You can also search for this editor in PubMed   Google Scholar

  • Experts in Social Networking and Data Mining have come together to create this volume
  • Special Focus on emerging trends and the needs of industry associated with data mining techniques for social networking
  • Useful applications for utilizing the commercial aspects of social networking

Part of the book series: Lecture Notes in Social Networks (LNSN)

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Table of contents (22 chapters)

  1. Social Media

    1. A Journey to the Core of the Blogosphere

      • Darko Obradović, Stephan Baumann
      Pages 281-300

    2. Social Physics of the Blogosphere

      • Justus Bross, Keven Richly, Patrick Schilf, Christoph Meinel
      Pages 301-321

    3. Twitmographics: Learning the Emergent Properties of the Twitter Community

      • Marc Cheong, Vincent Lee
      Pages 323-342

    4. Dissecting Twitter: A Review on Current Microblogging Research and Lessons from Related Fields

      • Marc Cheong, Vincent Lee
      Pages 343-362

  2. Software Applications

    1. Unleash the CSS-Factor

      • Carina Heppke
      Pages 365-376

    2. Extending SQL to Support Privacy Policies

      • Kambiz Ghazinour, Sampson Pun, Maryam Majedi, Amir H. Chinaci, Ken Barker
      Pages 377-393

    3. nCompass Service Oriented Architecture for Tacit Collaboration Services

      • David Schroh, Neil Bozowsky, Mike Savigny, William Wright
      Pages 395-413

    4. SOA Security Aspects in Web-based Architectural Design

      • Asadullah Shaikh, Shccraz Ali, Nasrullah Memon, Panagiotis Karampelas
      Pages 415-430
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Keywords

About this book

Important aspects of social networking analysis are covered in this work by combining experimental and theoretical research. A specific focus is devoted to emerging trends and the industry needs associated with utilizing data mining techniques. Some of the techniques covered include data mining advances in the discovery and analysis of communities, in the personalization of solitary activities (like searches) and social activities (like discovering potential friends), in the analysis of user behavior in open fora (like conventional sites, blogs and fora) and in commercial platforms (like e-auctions), and in the associated security and privacy-preservation challenges; as well as social network modeling, scalable, customizable social network infrastructure construction, and the identification and discovery of dynamic growth and evolution patterns using machine learning approaches or multi-agent based simulation. These topics will be of interest to practitioners and researchers alike in this dynamic and growing field.

Editors and Affiliations

  • The Maersk Mc-Kinney Moller Institute, Odense, Denmark

    Nasrullah Memon

  • Department of Computer Science, University of Calgary, Calgary, Canada

    Reda Alhajj

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