Structure in complex networks
 Responsibility
 Jörg Reichardt.
 Language
 English.
 Imprint
 Berlin ; London : Springer, 2009.
 Physical description
 xiii, 151 p. : ill. (some col.) ; 25 cm.
 Series
 Lecture notes in physics 766.
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 dx.doi.org SpringerLink
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QA278 .R44 2009  Available 
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Creators/Contributors
 Author/Creator
 Reichardt, J. (Jörg)
Contents/Summary
 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.
 (source: Nielsen Book Data)
 Publisher's Summary
 In the modern world of gigantic datasets, which scientists and practitioners of all fields of learning are confronted with, the availability of robust, scalable and easytouse methods for pattern recognition and data mining are of paramount importance, so as to be able to cope with the avalanche of data in a meaningful way. This concise and pedagogical research monograph introduces the reader to two specific aspects  clustering techniques and dimensionality reduction  in the context of complex network analysis. The first chapter provides a short introduction into relevant graph theoretical notation; chapter 2 then reviews and compares a number of cluster definitions from different fields of science.In the subsequent chapters, a firstprinciples approach to graph clustering in complex networks is developed using methods from statistical physics and the reader will learn, that even today, this field significantly contributes to the understanding and resolution of the related statistical inference issues. Finally, an application chapter examines realworld networks from the economic realm to show how the network clustering process can be used to deal with large, sparse datasets where conventional analyses fail.
(source: Nielsen Book Data)
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Bibliographic information
 Publication date
 2009
 Series
 Lecture notes in physics ; 766
 ISBN
 9783540878322 (hbk.)
 3540878327 (hbk.)
 3540878335 (ebook)
 9783540878339 (eISBN)