Complex Networks [electronic resource] : Results of the 1st International Workshop on Complex Networks (CompleNet 2009) /
CompleNet 2010(2010 :Rio de Janeiro, Brazil)
Menezes, Ronaldo.editor.
Fortunato, Santo.editor.
Mangioni, Giuseppe.editor.
Nicosia, Vincenzo.editor.
We live in a networked world. People are getting more and more interconnected through the new information and communication technologies, like mobile phones and the Internet. The function of cells can be understood via networks of interacting proteins. Ecosystems can be described through networks of taxonomic relationships between species. The network representation has proved to be a powerful tool to understand the structure and the dynamics of complex systems. Since the pioneering discovery of the scale-free property of the World Wide Web by Albert, Jeong and Barabási, the study of complex networks has become the leading discipline in complexity science. This volume is intended to bring to the attention of the scientific community recent advances in complex networks. It covers significant aspects of networks' structure and dynamics, both from the analytical and the empirical point of view. The works of this collection are contributed by a truly interdisciplinary community of scientists, from physicists to mathematicians, from computer scientists to engineers and economists.
International conference proceedings.
Includes bibliographical references and index.
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.
We live in a networked world. People are getting more and more interconnected through the new information and communication technologies, like mobile phones and the Internet. The function of cells can be understood via networks of interacting proteins. Ecosystems can be described through networks of taxonomic relationships between species. The network representation has proved to be a powerful tool to understand the structure and the dynamics of complex systems. Since the pioneering discovery of the scale-free property of the World Wide Web by Albert, Jeong and Barabási, the study of complex networks has become the leading discipline in complexity science. This volume is intended to bring to the attention of the scientific community recent advances in complex networks. It covers significant aspects of networks' structure and dynamics, both from the analytical and the empirical point of view. The works of this collection are contributed by a truly interdisciplinary community of scientists, from physicists to mathematicians, from computer scientists to engineers and economists.
Algorithms.
Computer communication systems.
Artificial intelligence.
Applied mathematics.
Engineering mathematics.
Statistical physics.
Dynamical systems.
Vibration.
Dynamics.
Algorithm Analysis and Problem Complexity.
Computer Communication Networks.
Artificial Intelligence.
Mathematical and Computational Engineering.
Complex Systems.
Vibration, Dynamical Systems, Control.