Studies in Computational Intelligence

Session 1: Analysis of Real Networks.- Dynamics and Evolution of the International Trade Network.- Small World Behavior of the Planetary Active Volcanoes Network: Preliminary Results.- Correlation Patterns in Gene Expressions along the Cell Cycle of Yeast.- Session 2: Community Structure.- Detecting and Characterizing the Modular Structure of the Yeast Transcription Network.- Finding Overlapping Communities Using Disjoint Community Detection Algorithms.- Discovering Community Structure on Large Networks Using a Grid Computing Environment.- Finding Community Structure Based on Subgraph Similarity.- Session 3: Network Modeling.- Structural Trends in Network Ensembles.- Generalized Attachment Models for the Genesis of Graphs with High Clustering Coefficient.- Modeling Highway Networks with Path-Geographical Transformations.- Session 4: Network Dynamics.- Simplicial Complex of Opinions on Scale-Free Networks.- An Axiomatic Foundation for Epidemics on Complex Networks.- Analytical Approach to Bond Percolation on Clustered Networks.- Session 5: Applications.- Order-Wise Correlation Dynamics in Text Data.- Using Time Dependent Link Reduction to Improve the Efficiency of Topic Prediction in Co-Authorship Graphs.- Fast Similarity Search in Small-World Networks.- Detection of Packet Traffic Anomalous Behaviour via Information Entropy.- Identification of Social Tension in Organizational Networks.