Properties of clustering coefficient in random agent networks

Xiaolong Jin*, Jiming LIU

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Random agent networks have been used as important contrast roles in the study of topologies of real-world agent networks. As an important property, in this paper, we study the clustering coefficient of random agent networks. Specifically, we give the theoretical average value and lower bound of the clustering coefficient in random agent networks with n agents and m links. As a validation, we also provide some experimental results to support our theoretical results.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Active Media Technology
EditorsJ.P. Li, J. Liu, N. Zhong, J. Yen, J. Zhao
PublisherWorld Scientific Publishing Co. Pte Ltd
Pages73-82
Number of pages10
ISBN (Print)9812383433, 9789812383433
DOIs
Publication statusPublished - 2003
EventProceedings of the Second International Conference on Active Media Technology - Chongqing, China
Duration: 29 May 200331 May 2003

Publication series

NameProceedings of the International Conference on Active Media Technology

Conference

ConferenceProceedings of the Second International Conference on Active Media Technology
Country/TerritoryChina
CityChongqing
Period29/05/0331/05/03

Scopus Subject Areas

  • Communication
  • Computer Science Applications
  • Marketing

User-Defined Keywords

  • Agent network
  • Clustering coefficient
  • Small world

Fingerprint

Dive into the research topics of 'Properties of clustering coefficient in random agent networks'. Together they form a unique fingerprint.

Cite this