Skip to main navigation Skip to search Skip to main content

Measuring preferential attachment mechanism in citation network basing on sliding time windows

  • Ming Yang Wang*
  • , Guang Yu
  • , Da Ren Yu
  • *Corresponding author for this work
  • Northeast Forestry University
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The preferential attachment mechanism (PAM) in citation network is studied dependent on papers' past citations obtained in different time windows. Experiment shows that the correlation between papers' attachment rate Π(k,t) and the past citations reaches peak in time window t=1, but then decays continually when enlarging the time window gradually. It indicates that the citations obtained in the recent one-year period will be the kernel factor to determine papers' attachment property. And negative effects would be brought to PAM if more citations in larger time windows were considered. Basing on the past citations obtained in t=1, the traditional PAM was modified as Π(k,t)∝k1.Experiment shows that the modified PAM has acquired a very good linear dependence between Π(k,t) and the citations in t=1.

Original languageEnglish
Title of host publicationICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
PagesV2110-V2113
DOIs
StatePublished - 2010
Event2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010 - Chengdu, China
Duration: 20 Aug 201022 Aug 2010

Publication series

NameICACTE 2010 - 2010 3rd International Conference on Advanced Computer Theory and Engineering, Proceedings
Volume2

Conference

Conference2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010
Country/TerritoryChina
CityChengdu
Period20/08/1022/08/10

Keywords

  • Citation network
  • Preferential attachment mechanism
  • Time window

Fingerprint

Dive into the research topics of 'Measuring preferential attachment mechanism in citation network basing on sliding time windows'. Together they form a unique fingerprint.

Cite this