Hybrid community detection in social networks

Hongwei Du; Weili Wu; Lei Cui; Ding Zhu Du

doi:10.1007/978-3-319-29608-1_8

Hybrid community detection in social networks

Hongwei Du
, Weili Wu
, Lei Cui
, Ding Zhu Du^*

^*Corresponding author for this work

Harbin Institute of Technology Shenzhen
University of Texas at Dallas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Community detection is an important subject in the study of social networks. In this article, we point out several ideas to design hybrid methods for community detection.

Original language	English
Title of host publication	Models, Algorithms and Technologies for Network Analysis - NET 2014
Editors	Valery A. Kalyagin, Petr A. Koldanov, Panos M. Pardalos
Publisher	Springer New York LLC
Pages	127-133
Number of pages	7
ISBN (Print)	9783319296067
DOIs	https://doi.org/10.1007/978-3-319-29608-1_8
State	Published - 2016
Externally published	Yes
Event	4th International Conference on Network Analysis, NET 2014 - Nizhny Novgorod, Russian Federation Duration: 11 May 2014 → 13 May 2014

Publication series

Name	Springer Proceedings in Mathematics and Statistics
Volume	156
ISSN (Print)	2194-1009
ISSN (Electronic)	2194-1017

Conference

Conference	4th International Conference on Network Analysis, NET 2014
Country/Territory	Russian Federation
City	Nizhny Novgorod
Period	11/05/14 → 13/05/14

Keywords

Community detection
Hybrid algorithms
Modularity
Social networks

Access to Document

10.1007/978-3-319-29608-1_8

Cite this

@inproceedings{91427b65099640ceb4f4e56caee55663,

title = "Hybrid community detection in social networks",

abstract = "Community detection is an important subject in the study of social networks. In this article, we point out several ideas to design hybrid methods for community detection.",

keywords = "Community detection, Hybrid algorithms, Modularity, Social networks",

author = "Hongwei Du and Weili Wu and Lei Cui and Du, \{Ding Zhu\}",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 4th International Conference on Network Analysis, NET 2014 ; Conference date: 11-05-2014 Through 13-05-2014",

year = "2016",

doi = "10.1007/978-3-319-29608-1\_8",

language = "英语",

isbn = "9783319296067",

series = "Springer Proceedings in Mathematics and Statistics",

publisher = "Springer New York LLC",

pages = "127--133",

editor = "Kalyagin, \{Valery A.\} and Koldanov, \{Petr A.\} and Pardalos, \{Panos M.\}",

booktitle = "Models, Algorithms and Technologies for Network Analysis - NET 2014",

}

Du, H, Wu, W, Cui, L & Du, DZ 2016, Hybrid community detection in social networks. in VA Kalyagin, PA Koldanov & PM Pardalos (eds), Models, Algorithms and Technologies for Network Analysis - NET 2014. Springer Proceedings in Mathematics and Statistics, vol. 156, Springer New York LLC, pp. 127-133, 4th International Conference on Network Analysis, NET 2014, Nizhny Novgorod, Russian Federation, 11/05/14. https://doi.org/10.1007/978-3-319-29608-1_8

Hybrid community detection in social networks. / Du, Hongwei; Wu, Weili; Cui, Lei et al.
Models, Algorithms and Technologies for Network Analysis - NET 2014. ed. / Valery A. Kalyagin; Petr A. Koldanov; Panos M. Pardalos. Springer New York LLC, 2016. p. 127-133 (Springer Proceedings in Mathematics and Statistics; Vol. 156).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Hybrid community detection in social networks

AU - Du, Hongwei

AU - Wu, Weili

AU - Cui, Lei

AU - Du, Ding Zhu

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Community detection is an important subject in the study of social networks. In this article, we point out several ideas to design hybrid methods for community detection.

AB - Community detection is an important subject in the study of social networks. In this article, we point out several ideas to design hybrid methods for community detection.

KW - Community detection

KW - Hybrid algorithms

KW - Modularity

KW - Social networks

UR - https://www.scopus.com/pages/publications/84994495771

U2 - 10.1007/978-3-319-29608-1_8

DO - 10.1007/978-3-319-29608-1_8

M3 - 会议稿件

AN - SCOPUS:84994495771

SN - 9783319296067

T3 - Springer Proceedings in Mathematics and Statistics

SP - 127

EP - 133

BT - Models, Algorithms and Technologies for Network Analysis - NET 2014

A2 - Kalyagin, Valery A.

A2 - Koldanov, Petr A.

A2 - Pardalos, Panos M.

PB - Springer New York LLC

T2 - 4th International Conference on Network Analysis, NET 2014

Y2 - 11 May 2014 through 13 May 2014

ER -

Hybrid community detection in social networks

Abstract

Publication series

Conference

Keywords

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