From Sociology to Computing in Social Networks: Theory, Foundations and Applications

ISBN-13: 9783709102930 / Angielski / Twarda / 2010 / 430 str.

Reda Alhajj; Nasrullah Memon

Opis

"From Sociology to Computing in Social Networks" provides an analysis of social networking and the emerging trends in data mining. Topics include social network modeling, customizable social network infrastructure construction, dynamic growth and evolution patterns identification, and more.

Spis treści

Social Networks: A powerful model for serving a wide range of domains (Nasrullah Memon and Reda Alhaj Part I Mining based Social Network Methods Employing Social Network Construction and Analysis in Web Structure Optimization (Mohamad Nagi, Abdelghani Guerbas, Keivan Kianmehr, Panagiotis Karampelas, Mick Ridley, Reda Alhajj, and Jon Rokne) Mining Heterogeneous Social Networks for Egocentric Information Abstraction (Cheng-Te Li and Shou-De Lin) PROG: A Complementary Model to the Social Networks for Mining Forums (Anna Stavrianou, Julien Velcin, and Jean-Hugues Chauchat) Socio-Contextual Network Mining for User Assistance in Web-based Knowledge Gathering Tasks (Balaji Rajendran and Iyakutti Kombiah) Integrating Entropy and Closed Frequent Pattern Mining for Social Network Modelling and Analysis (Muhaimenul Adnan, Reda Alhajj, and Jon Rokne) Part II Dynamics in Social Network Models Visualisation of the Dynamics for longitudinal analysis of Computer - Mediated Social Networks - Concept and Exemplary Cases (Andreas Harrer, Sam Zeini, and Sabrina Ziebarth) EWAS: Modeling Application for Early Detection of Terrorist Threats (Pir Abdul Rasool Qureshi, Nasrullah Memon, and Uffe Kock Wiil) Complex Dynamics in Information Sharing Networks (Bruce Cronin) Harnessing Wisdom of the Crowds Dynamics for Time-Dependent Reputation and Ranking (Elizabeth M. Daly) Part III Discovering Structures in Social Networks Detecting Communities in Social Networks using Local Information (Jiyang Chen, Osmar R. Zaïane, and Randy Goebel) Why Do Diffusion Data not Fit the Logistic Model? A Note on Network Discreteness, Heterogeneity and Anisotropy (Dominique Raynaud) Interlocking Communication Measuring Collaborative Intensity in Social Networks (Klaus Stein and Steffen Blaschke) The Structural Underpinnings Of Policy Learning: A Classroom Policy Simulation (Stephen Bird) Part IV Social Media A Journey to the Core of the Blogosphere (Darko Obradovic and Stephan Baumann) Social Physics ofthe Blogosphere Capturing, Analyzing and Presenting Interdependencies within a Single Framework (Justus Bross, Keven Richly, Patrick Schilf, and Christoph Meinel) Twitmographics: Learning the Emergent Properties of the Twitter Community (Marc Cheong and Vincent Le) Dissecting Twitter: A Review on Current Microblogging Research, and Lessons from Related Fields (Marc Cheong and Vincent Lee) Part V Software Applications Unleash the CSS-Factor A Social Capital Approach to the Benefits and Challenges of Corporate Social Software (Carina Heppke) Extending SQL to Support Privacy Policies (Kambiz Ghazinour, Sampson Pun, Maryam Majedi, Amir H. Chinaei, and Ken Barker) nCompass Service Oriented Architecture for Tacit Collaboration Services (David Schroh, Neil Bozowsky, Mike Savigny, and William Wright) SOA Security Aspects in Web-Based Architectural Design (Asadullah Shaikh, Sheeraz Ali, Nasrullah Memon, and Panagiotis Karampela)

Blurb

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.