Skip to main navigation Skip to search Skip to main content

Influence in time-dependent citation networks

  • Monika Ewa Rakoczy
  • , Amel Bouzeghoub
  • , Alda Lopes Gancarski
  • , Katarzyna Wegrzyn-Wolska
  • CNRS UMR 5157 SAMOVAR
  • EFREI

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

2 Citations (Scopus)

Abstract

In this paper, we present a running influence model for evaluating the pairwise impact between communities in citation networks and define the time limitations of the model. The model improves a recent one from the literature. To compare and contrast different communities influence, we present a metric for estimating the overall running influence value of particular community. We also study the problem of the time dependency of the influence within citation networks. To conduct the community influence analysis, we perform the experiments using a real-world database. The results are compared to both real-world ranking and the state-of-the-art method. They show the adequacy of the proposed metrics and model of running influence. We also demonstrate the importance of proposed differentiation within calculation and interpretation of the influence in time-dependent citation networks.

Original languageEnglish
Title of host publication2018 12th International Conference on Research Challenges in Information Science, RCIS 2018
PublisherIEEE Computer Society
Pages1-11
Number of pages11
ISBN (Electronic)9781538665176
DOIs
Publication statusPublished - 6 Jul 2018
Event12th International Conference on Research Challenges in Information Science, RCIS 2018 - Nantes, France
Duration: 29 May 201831 May 2018

Publication series

NameProceedings - International Conference on Research Challenges in Information Science
Volume2018-May
ISSN (Print)2151-1349
ISSN (Electronic)2151-1357

Conference

Conference12th International Conference on Research Challenges in Information Science, RCIS 2018
Country/TerritoryFrance
CityNantes
Period29/05/1831/05/18

Keywords

  • citation networks
  • granger causality
  • influence
  • influence estimation
  • social networks

Fingerprint

Dive into the research topics of 'Influence in time-dependent citation networks'. Together they form a unique fingerprint.

Cite this