Ego-Community Evolution Tracking in Instant Messaging Networks

Ahmed Ould Mohamed Moctar; Idrissa Sarr

Innovations and Interdisciplinary Solutions for Underserved Areas. Second International Conference, InterSol 2018, Kigali, Rwanda, March 24–25, 2018, Proceedings

Research Article

Ego-Community Evolution Tracking in Instant Messaging Networks

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@INPROCEEDINGS{10.1007/978-3-319-98878-8_2,
    author={Ahmed Ould Mohamed Moctar and Idrissa Sarr},
    title={Ego-Community Evolution Tracking in Instant Messaging Networks},
    proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Second International Conference, InterSol 2018, Kigali, Rwanda, March 24--25, 2018, Proceedings},
    proceedings_a={INTERSOL},
    year={2018},
    month={9},
    keywords={Ego-community Dynamic networks Instant messaging},
    doi={10.1007/978-3-319-98878-8_2}
}

Ahmed Ould Mohamed Moctar
Idrissa Sarr
Year: 2018
Ego-Community Evolution Tracking in Instant Messaging Networks
INTERSOL
Springer
DOI: 10.1007/978-3-319-98878-8_2

Ahmed Ould Mohamed Moctar¹^,*, Idrissa Sarr¹^,*

1: Cheikh Anta Diop University

*Contact email: amed.mohameden@gmail.com, idrissa.sarr@ucad.edu.sn

Abstract

Community detection is one of the most topics that are covered by social network analysis researchers. Early works focused mainly on partitioning networks into several global communities before they target communities evolution over time. The main drawback of such approach is the difficulty to obtain the entire network on which we may process a set of algorithms to track evolution. As a result, many researchers focused on detecting and tracking local dynamic communities.

Keywords: Ego-community Dynamic networks Instant messaging

Published: 2018-09-03
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-319-98878-8_2

Ego-Community Evolution Tracking in Instant Messaging Networks

Abstract

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