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EBOOK
Author Reichardt, J. (Jörg)
Title Structure in complex networks / J. Reichardt.
Imprint Berlin : Springer, 2009.

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Reichardt, J. (Jörg)
Series The lecture notes in physics, 0075-8450 ; 766
Lecture notes in physics ; 766.
Subject Cluster analysis.
Data mining.
Pattern recognition systems.
Graph theory.
Statistical physics.
Description 1 online resource (xiii, 151 pages) : illustrations.
polychrome rdacc
Bibliography Note Includes bibliographical references.
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.
Summary 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 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 first-principles 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 real-world 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.
Note Print version record.
ISBN 9783540878339
3540878335
3540878327 (hbk.)
9783540878322 (hbk.)
9783540878322
Publisher # 12534586
OCLC # 656395029
Additional Format Print version: Reichardt, J. (Jorg). Structure in complex networks. Berlin : Springer, 2009 9783540878322 3540878327 (DLC) 2008936629 (OCoLC)248993741


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