TY  - BOOK
AU  - Shen,Hua-Wei
ED  - SpringerLink (Online service)
TI  - Community Structure of Complex Networks
T2  - Springer Theses, Recognizing Outstanding Ph.D. Research,
SN  - 9783642318214
AV  - QA76.9.D343 
U1  - 006.312 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer science
KW  - Data mining
KW  - Statistics
KW  - Computer Science
KW  - Data Mining and Knowledge Discovery
KW  - Statistics, general
N1  - Community structure: An Introduction -- Detecting the overlapping and hierarchical community structure in networks -- Multiscale community detection in networks with heterogeneous degree distributions -- Community structure and diffusion dynamics on networks -- Exploratory Analysis of the structural regularities in networks
N2  - Community structure is a salient structural characteristic of many real-world networks. Communities are generally hierarchical, overlapping, multi-scale and coexist with other types of structural regularities of networks. This poses major challenges for conventional methods of community detection. This book will comprehensively introduce the latest advances in community detection, especially the detection of overlapping and hierarchical community structures, the detection of multi-scale communities in heterogeneous networks, and the exploration of multiple types of structural regularities. These advances have been successfully applied to analyze large-scale online social networks, such as Facebook and Twitter. This book provides readers a convenient way to grasp the cutting edge of community detection in complex networks. The thesis on which this book is based was honored with the “Top 100 Excellent Doctoral Dissertations Award” from the Chinese Academy of Sciences and was nominated as the “Outstanding Doctoral Dissertation” by the Chinese Computer Federation
UR  - http://dx.doi.org/10.1007/978-3-642-31821-4
ER  -