Exploring and Mining Attributed Sequences of Interactions

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

Abstract

We consider entities interacting over time: individuals meeting, customers buying products, etc., each entity being labeled with some information that may depend on time, and possibly extracted from the interaction nature. Capturing the dynamics as well as the structure of these interactions is of crucial importance for analysis. We are interested here in mining sequences of such interactions. For that purpose, we define core closed patterns in this context and introduce algorithms to enumerate them on a labeled stream graph. We run experiments on two real-world datasets, one representing interactions among students and the other representing citations between authors.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications XI - Proceedings of The 11th International Conference on Complex Networks and Their Applications
Subtitle of host publicationCOMPLEX NETWORKS 2022—Volume 2
EditorsHocine Cherifi, Rosario Nunzio Mantegna, Luis M. Rocha, Chantal Cherifi, Salvatore Micciche
PublisherSpringer Science and Business Media Deutschland GmbH
Pages537-549
Number of pages13
ISBN (Print)9783031211300
DOIs
Publication statusPublished - 1 Jan 2023
Event11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022 - Palermo, Italy
Duration: 8 Nov 202210 Nov 2022

Publication series

NameStudies in Computational Intelligence
Volume1078
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference11th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2022
Country/TerritoryItaly
CityPalermo
Period8/11/2210/11/22

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