Structure in Complex Networks

In the modern world of gigantic datasets, which scientists and practioners of all fields of learning are confronted with, the availability of robust, scalable and easy-to-use methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of d...

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Bibliographic Details
Main Author: Reichardt, J. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series:Lecture Notes in Physics, 766
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-540-87833-9
Table of Contents:
  • Introduction to Complex Networks
  • Standard Approaches to Network Structure: Block Modeling
  • A First Principles Approach to Block Structure Detection
  • Diagonal Block Models as Cohesive Groups
  • Modularity of Dense Random Graphs
  • Modularity of Sparse Random Graphs
  • Applications
  • Conclusion and Outlook
  • References.