Publication:

Flow stability for dynamic community detection

Date

Date

Date
2022
Journal Article
Published version

Citations

Citation copied

Bovet, A., Delvenne, J.-C., & Lambiotte, R. (2022). Flow stability for dynamic community detection. Science Advances, 8(19), eabj3063. https://doi.org/10.1126/sciadv.abj3063

Abstract

Abstract

Abstract

Many systems exhibit complex temporal dynamics due to the presence of different processes taking place simultaneously. An important task in these systems is to extract a simplified view of their time-dependent network of interactions. Community detection in temporal networks usually relies on aggregation over time windows or consider sequences of different stationary epochs. For dynamics-based methods, attempts to generalize static-network methodologies also face the fundamental difficulty that a stationary state of the dynamics does

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3 since deposited on 2022-08-16
Acq. date: 2025-11-12

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1 since deposited on 2022-08-16
Acq. date: 2025-11-12

Additional indexing

Creators (Authors)

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
8

Number

Number

Number
19

Page range/Item number

Page range/Item number

Page range/Item number
eabj3063

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Language

Language

Language
English

Publication date

Publication date

Publication date
2022

Date available

Date available

Date available
2022-08-16

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2375-2548

OA Status

OA Status

OA Status
Gold

Free Access at

Free Access at

Free Access at
DOI

Metrics

Downloads

3 since deposited on 2022-08-16
Acq. date: 2025-11-12

Views

1 since deposited on 2022-08-16
Acq. date: 2025-11-12

Citations

Citation copied

Bovet, A., Delvenne, J.-C., & Lambiotte, R. (2022). Flow stability for dynamic community detection. Science Advances, 8(19), eabj3063. https://doi.org/10.1126/sciadv.abj3063

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