Computational Network Science Books

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Computational Network Science


Computational Network Science
  • Author : Henry Hexmoor
  • Publisher : Morgan Kaufmann
  • Release : 2014-09-23
  • ISBN : 9780128011560
  • Language : En, Es, Fr & De
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The emerging field of network science represents a new style of research that can unify such traditionally-diverse fields as sociology, economics, physics, biology, and computer science. It is a powerful tool in analyzing both natural and man-made systems, using the relationships between players within these networks and between the networks themselves to gain insight into the nature of each field. Until now, studies in network science have been focused on particular relationships that require varied and sometimes-incompatible datasets, which has kept it from being a truly universal discipline. Computational Network Science seeks to unify the methods used to analyze these diverse fields. This book provides an introduction to the field of Network Science and provides the groundwork for a computational, algorithm-based approach to network and system analysis in a new and important way. This new approach would remove the need for tedious human-based analysis of different datasets and help researchers spend more time on the qualitative aspects of network science research. Demystifies media hype regarding Network Science and serves as a fast-paced introduction to state-of-the-art concepts and systems related to network science Comprehensive coverage of Network Science algorithms, methodologies, and common problems Includes references to formative and updated developments in the field Coverage spans mathematical sociology, economics, political science, and biological networks

Computational Approaches to the Network Science of Teams


Computational Approaches to the Network Science of Teams
  • Author : Liangyue Li
  • Publisher : Cambridge University Press
  • Release : 2020-12-03
  • ISBN : 9781108498548
  • Language : En, Es, Fr & De
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Surveys recent models and algorithms characterizing, predicting, optimizing, and explaining team performance in a variety of settings.

Computational Network Analysis with R


Computational Network Analysis with R
  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Release : 2016-12-12
  • ISBN : 9783527339587
  • Language : En, Es, Fr & De
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This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Computational Network Theory


Computational Network Theory
  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Release : 2015-11-02
  • ISBN : 9783527337248
  • Language : En, Es, Fr & De
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This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are important tools to derive or verify hypotheses by applying computational techniques to large scale network data. The highly experienced team of editors and high-profile authors from around the world present and explain a number of methods that are representative of computational network theory, derived from graph theory, as well as computational and statistical techniques. With its coherent structure and homogenous style, this reference is equally suitable for courses on computational networks and special aspects of complex network analysis and operationsresearch.

Computational Social Networks


Computational Social Networks
  • Author : Ajith Abraham
  • Publisher : Springer Science & Business Media
  • Release : 2012-08-14
  • ISBN : 9781447140542
  • Language : En, Es, Fr & De
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This book is the third of three volumes that illustrate the concept of social networks from a computational point of view. The book contains contributions from a international selection of world-class experts, with a specific focus on knowledge discovery and visualization of complex networks (the other two volumes review Tools, Perspectives, and Applications, and Security and Privacy in CSNs). Topics and features: presents the latest advances in CSNs, and illustrates how organizations can gain a competitive advantage from a better understanding of complex social networks; discusses the design and use of a wide range of computational tools and software for social network analysis; describes simulations of social networks, and the representation and analysis of social networks, highlighting methods for the data mining of CSNs; provides experience reports, survey articles, and intelligence techniques and theories relating to specific problems in network technology.