Discovering explorative patterns from real-world complex networks

Bo Yang*, Jiming LIU

*Corresponding author for this work

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

Abstract

The ability to discover patterns of networks is fundamental for structural analysis applied to them. Many ubiquitous patterns demonstrated by real-world networks have been discovered, and corresponding tools for finding them also have been developed. Although existing works have greatly improved our understanding on networks, it is still challenging to precisely model and predict their behaviors mainly because their non-trivial structures usually consists of manyfold coexisting patterns which cannot be appropriately and totally uncovered by a single tool exclusively designed for pre-defined ones. In this work, we take an effort to address this issue by introducing a parameter-free algorithm aiming to discover such patterns hidden in an explorative network.

Original languageEnglish
Title of host publicationProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Pages502-506
Number of pages5
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011 - Kaohsiung, Taiwan, Province of China
Duration: 25 Jul 201127 Jul 2011

Publication series

NameProceedings - 2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011

Conference

Conference2011 International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2011
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period25/07/1127/07/11

Scopus Subject Areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

User-Defined Keywords

  • Complex network
  • Social network mining

Fingerprint

Dive into the research topics of 'Discovering explorative patterns from real-world complex networks'. Together they form a unique fingerprint.

Cite this