From Sociology to Computing in Social Networks

1. Front Matter

   Pages i-xix

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2. Social Networks: A Powerful Model for Serving a Wide Range of Domains

   1. Front Matter

      Pages 11-11

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   2. Social Networks: A Powerful Model for Serving a Wide Range of Domains

      • Nasrullah Memon, Reda Alhajj

      Pages 1-9

3. Mining-based Social Network Methods

   1. Front Matter

      Pages 117-117

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   2. Employing Social Network Construction and Analysis in Web Structure Optimization

      • Mohamad Xagi, Abdelghani Guerbas, Keivan Kianmehr, Panagiotis Karampelas, Mick Ridley, Reda Alhajj et al.

      Pages 13-34

   3. Mining Heterogeneous Social Networks for Egocentric Information Abstraction

      • Cheng-Te Li, Shou-De Lin

      Pages 35-58

   4. PROG: A Complementary Model to the Social Networks for Mining Forums

      • Anna Stavrianou, Julien Velcin, Jean-Hugues Chauchat

      Pages 59-79

   5. Socio-contextual Network Mining for User Assistance in Web-based Knowledge Gathering Tasks

      • Balaji Rajendran, Iyakutti Kombiah

      Pages 81-93

   6. Integrating Entropy and Closed Frequent Pattern Mining for Social Network Modelling and Analysis

      • Muhaimenul Adnan, Reda Alhajj, Jon Rokne

      Pages 95-115

4. Dynamics in Social Network Models

   1. Front Matter

      Pages 195-195

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   2. Visualisation of the Dynamics for Longitudinal Analysis of Computer-mediated Social Networks-concept and Exemplary Cases

      • Andreas Harrer, Sam Zeini, Sabrina Ziebarth

      Pages 119-134

   3. EWAS: Modeling Application for Early Detection of Terrorist Threats

      • Pir Abdul Rasool Qureshi, Nasrullah Memon, Uffe Kock Wiil

      Pages 135-156

   4. Complex Dynamics in Information Sharing Networks

      • Bruce Cronin

      Pages 157-176

   5. Harnessing Wisdom of the Crowds Dynamics for Time-dependent Reputation and Ranking

      • Elizabeth M. Daly

      Pages 177-194

5. Dynamics in Social Network Models

   1. Front Matter

      Pages 279-279

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   2. Detecting Communities in Social Networks Using Local Information

      • Jiyang Chen, Osmar R. Zaïane, Randy Goebel

      Pages 197-214

   3. Why Do Diffusion Data Not Fit the Logistic Model? A Note on Network Discreteness, Heterogeneity and Anisotropy

      • Dominique Raynaud

      Pages 215-230

   4. Interlocking Communication

      • Klaus Stein, Steffen Blaschke

      Pages 231-252

   5. The Structural Underpinnings of Policy Learning: A Classroom Policy Simulation

      • Stephen Bird

      Pages 253-277

6. Social Media

   1. Front Matter

      Pages 363-363

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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.

• Computer
• Pattern Mining
• calculus
• data mining
• machine learning
• modeling
• multiagen based simulation
• optimization
• social networking
• visualization
• web communities

• 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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