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Social Networks: A Framework of Computational Intelligence


Social Networks: A Framework of Computational Intelligence
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Beschreibung

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.

Eigenschaften

Breite: 166
Gewicht: 802 g
Höhe: 239
Länge: 29
Seiten: 440
Sprachen: Englisch
Autor: Shyi-Ming Chen, Witold Pedrycz

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