Discovering community membership in biological networks with node topology potential

Liping Xiao; Shuliang Wang; Jingjing Li

doi:10.1109/GrC.2012.6468676

Discovering community membership in biological networks with node topology potential

Liping Xiao, Shuliang Wang^*, Jingjing Li

^*Corresponding author for this work

School of Computer Science and Technology

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

3 Citations (Scopus)

Abstract

In this paper, a novel approach is proposed to discover community membership in complex networks with node topology potential, along with the experiment on complex biological networks. The concept of physical field is brought into networks. Nodes will have a certain topology potential since they can affect and be affected by the others nearby. And this topology potential is an index to measure the interaction among nodes. Based on the distributing feature of node topology potential, the community memberships are uncovered. A biological network is finally experimented to show the effectiveness of the proposed algorithm.

Original language	English
Title of host publication	Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012
Pages	541-546
Number of pages	6
DOIs	https://doi.org/10.1109/GrC.2012.6468676
Publication status	Published - 2012
Event	2012 IEEE International Conference on Granular Computing, GrC 2012 - HangZhou, China Duration: 11 Aug 2012 → 13 Aug 2012

Publication series

Name	Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012

Conference

Conference	2012 IEEE International Conference on Granular Computing, GrC 2012
Country/Territory	China
City	HangZhou
Period	11/08/12 → 13/08/12

Keywords

community membership
complex biological networks
data field
node topology potential

Access to Document

10.1109/GrC.2012.6468676

Cite this

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title = "Discovering community membership in biological networks with node topology potential",

abstract = "In this paper, a novel approach is proposed to discover community membership in complex networks with node topology potential, along with the experiment on complex biological networks. The concept of physical field is brought into networks. Nodes will have a certain topology potential since they can affect and be affected by the others nearby. And this topology potential is an index to measure the interaction among nodes. Based on the distributing feature of node topology potential, the community memberships are uncovered. A biological network is finally experimented to show the effectiveness of the proposed algorithm.",

keywords = "community membership, complex biological networks, data field, node topology potential",

author = "Liping Xiao and Shuliang Wang and Jingjing Li",

year = "2012",

doi = "10.1109/GrC.2012.6468676",

language = "English",

isbn = "9781467323093",

series = "Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012",

pages = "541--546",

booktitle = "Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012",

note = "2012 IEEE International Conference on Granular Computing, GrC 2012 ; Conference date: 11-08-2012 Through 13-08-2012",

}

Xiao, L, Wang, S & Li, J 2012, Discovering community membership in biological networks with node topology potential. in Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012., 6468676, Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012, pp. 541-546, 2012 IEEE International Conference on Granular Computing, GrC 2012, HangZhou, China, 11/08/12. https://doi.org/10.1109/GrC.2012.6468676

Discovering community membership in biological networks with node topology potential. / Xiao, Liping; Wang, Shuliang; Li, Jingjing.
Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012. 2012. p. 541-546 6468676 (Proceedings - 2012 IEEE International Conference on Granular Computing, GrC 2012).

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

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AU - Wang, Shuliang

AU - Li, Jingjing

PY - 2012

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N2 - In this paper, a novel approach is proposed to discover community membership in complex networks with node topology potential, along with the experiment on complex biological networks. The concept of physical field is brought into networks. Nodes will have a certain topology potential since they can affect and be affected by the others nearby. And this topology potential is an index to measure the interaction among nodes. Based on the distributing feature of node topology potential, the community memberships are uncovered. A biological network is finally experimented to show the effectiveness of the proposed algorithm.

AB - In this paper, a novel approach is proposed to discover community membership in complex networks with node topology potential, along with the experiment on complex biological networks. The concept of physical field is brought into networks. Nodes will have a certain topology potential since they can affect and be affected by the others nearby. And this topology potential is an index to measure the interaction among nodes. Based on the distributing feature of node topology potential, the community memberships are uncovered. A biological network is finally experimented to show the effectiveness of the proposed algorithm.

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KW - complex biological networks

KW - data field

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U2 - 10.1109/GrC.2012.6468676

DO - 10.1109/GrC.2012.6468676

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Y2 - 11 August 2012 through 13 August 2012

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Discovering community membership in biological networks with node topology potential

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