Items related to Social Networks: A Framework of Computational Intelligence
Synopsis
Detecting Community Structures in Networks Using A Linear-Programming Based Approach.- Personalization of Social Networks: Adaptive Semantic Layer Approach.- Social Network and Formal Concept Analysis.- Explaining Variation in State Involvement in Cyber Attacks: A Social Network Approach.- Moblog-Based Social Networks.- Uncertainty-Preserving Trust Prediction in Social Networks.- Impact of Social Network Structures on Social Welfare and Inequality.- Genetic Algorithms for Multi-Objective Community Detection in Complex Networks.- Computational Framework for Generating Visual Summaries of Topical Clusters in Twitter Streams.- Granularity of Personal Intelligence in Social Networks.- Social Network Dynamics: An Attention Economics Perspective.- A Framework to Investigate the Relationship between Employee Embeddedness in Enterprise Social Networks and Knowledge Transfer.- A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm.- An Evaluation Fuzzy Model and Its Application for Knowledge-Based Social Networks.- Process Drama Based Information Management for Assessment and Classification in Learning.- Social Network Computation for Life Cycle Analysis by Intelligence Perspective.- Analyzing Tweet Cluster Using Fuzzy C Means Clustering.- The Global Spread of Islamism: An Agent-Based Computer Model.- Using Neural Network Model to Evaluate Impact of Economic Growth Rate and National Income Indices on Crude Birth Rate in Taiwan.
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Review
From the book reviews:
“This interesting book is about social networks ... and the many tools from the world of computational intelligence that provide a framework for analyzing and drawing conclusions from them. ... I recommend this fascinating volume to practitioners, researchers, and students with an interest in any aspect of applying computational intelligence techniques and tools to extract insights from social networks.” (M. G. Murphy, Computing Reviews, July, 2014)
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