Complex Networks

Results of the 1st International Workshop on Complex Networks (CompleNet 2009)

Ronaldo Menezes, Santo Fortunato, Giuseppe Mangioni, Vincenzo Nicosia (Herausgeber)

Buch | Softcover

XVII, 225 Seiten

2012 | 2009
Springer Berlin (Verlag)
978-3-642-26931-8 (ISBN)

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This book on advances in complex networks contains the results of the First International Workshop on Complex Networks, CompleNet 2009. It covers significant aspects of network structure and dynamics, both from the analytical and the empirical point of view.

Though the reductionist approachto biology and medicine has led to several imp- tant advances, further progresses with respect to the remaining challenges require integration of representation, characterization and modeling of the studied systems along a wide range of spatial and time scales. Such an approach, intrinsically - lated to systems biology, is poised to ultimately turning biology into a more precise and synthetic discipline, paving the way to extensive preventive and regenerative medicine [1], drug discovery [20] and treatment optimization [24]. A particularly appealing and effective approach to addressing the complexity of interactions inherent to the biological systems is provided by the new area of c- plex networks [34, 30, 8, 13, 12]. Basically, it is an extension of graph theory [10], focusing on the modeling, representation, characterization, analysis and simulation ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C- plex networks concepts and methods have been used to study disease [17], tr- scription networks [5, 6, 4], protein-protein networks [22, 36, 16, 39], metabolic networks [23] and anatomy [40].

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 .- 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 .- Structural Trends in Network Ensembles.- Generalized Attachment Models for the Genesis of Graphs with High Clustering Coefficient .- Modeling Highway Networks with Path-Geographical Transformations .- Simplicial Complex of Opinions on Scale-free Networks.- An Axiomatic Foundation for Epidemics on Complex Networks.- Analytical Approach to Bond Percolation on Clustered Networks.- 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: Relating Clan/Clique Formation to Social Tension .

Erscheint lt. Verlag	14.3.2012
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XVII, 225 p.
Verlagsort	Berlin
Sprache	englisch
Maße	155 x 235 mm
Gewicht	374 g
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Technik
Schlagworte	Algorithm analysis and problem complexity • Artificial Intelligence • Complexity • complex networks • Complex Systems • Computational Intelligence • Cyc • Distributed Systems • Evolution • Modeling • Racter
ISBN-10	3-642-26931-1 / 3642269311
ISBN-13	978-3-642-26931-8 / 9783642269318
Zustand	Neuware