Electronic Resource

Community structure of complex networks

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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.

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Ketersediaan

Informasi Detail

Judul Seri

Springer Theses

No. Panggil

E1143

Penerbit

Germany : Springer., 2013

Deskripsi Fisik

xiv, 117 hlm.

Bahasa

English

ISBN/ISSN

9783642318214

Klasifikasi

NONE

Tipe Isi

text

Tipe Media

computer

Tipe Pembawa

online resource

Edisi

-

Subjek

Statistik
Pengolahan Data Komputer

Info Detail Spesifik

-

Pernyataan Tanggungjawab

Hua-Wei Shen

Versi lain/terkait

Lampiran Berkas

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