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Influence in time-dependent citation networks

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

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

2 Citations (Scopus)

Résumé

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.

langue originaleAnglais
titre2018 12th International Conference on Research Challenges in Information Science, RCIS 2018
EditeurIEEE Computer Society
Pages1-11
Nombre de pages11
ISBN (Electronique)9781538665176
Les DOIs
étatPublié - 6 juil. 2018
Evénement12th International Conference on Research Challenges in Information Science, RCIS 2018 - Nantes, France
Durée: 29 mai 201831 mai 2018

Série de publications

NomProceedings - International Conference on Research Challenges in Information Science
Volume2018-May
ISSN (imprimé)2151-1349
ISSN (Electronique)2151-1357

Une conférence

Une conférence12th International Conference on Research Challenges in Information Science, RCIS 2018
Pays/TerritoireFrance
La villeNantes
période29/05/1831/05/18

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