On Mining Temporal Patterns in Dynamic Graphs, and Other Unrelated Problems

Orestis Kostakis, Aristides Gionis

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


Given a social network with dynamic interactions, how can we discover frequent interactions between groups of entities? What are the temporal patterns exhibited by these interactions? Which entities interact frequently with each other before, during, or after others have stopped or started? Such dynamic-network datasets are becoming prevailing, as modern data-gathering capabilities allow to record not only a static view of the network structure, but also detailed activity of the network entities and interactions along the network edges. Analysis of dynamic networks has applications in telecommunication networks, social network analysis, computational biology, and more. We study the problem of mining interactions in dynamic graphs. We assume that these interactions are not instantaneous, but more naturally, each interaction has a duration. We solve the problem of mining dynamic graphs by establishing a novel connection with the problem of mining event-interval sequences, and adapting methods from the latter domain. We apply the proposed methods to a real-world social network and to dynamic graphs from the field of sports. In addition, having established the aforementioned equivalence between the two pattern-mining settings, we proceed to describe how other graph-related problems, such as prediction, learning, and summarization, can be solved by applying out-of-the-box algorithms devised for event-interval sequences. In light of these results, we conjecture that there may be further connections between the two research domains, and the two communities should work closer to share goals and methodology.
Original languageEnglish
Title of host publicationComplex Networks & Their Applications VI
Subtitle of host publicationProceedings of Complex Networks 2017 (The Sixth International Conference on Complex Networks and Their Applications)
EditorsChantal Cherifi, Hocine Cherifi, Márton Karsai, Mirco Musolesi
Place of PublicationCham
Number of pages12
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Complex Networks and their Applications
- Lyon, France
Duration: 29 Nov 20171 Dec 2017
Conference number: 6

Publication series

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


ConferenceInternational Conference on Complex Networks and their Applications
Abbreviated titleCOMPLEX NETWORKS
Internet address


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