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Metrics of Evolving Ego-Networks with Forgetting Factor

Metrics of Evolving Ego-Networks with Forgetting Factor

Rui Portocarrero Sarmento
Copyright: © 2017 |Volume: 6 |Issue: 1 |Pages: 13
ISSN: 2155-6334|EISSN: 2155-6342|EISBN13: 9781522514794|DOI: 10.4018/IJSODIT.2017010103
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MLA

Sarmento, Rui Portocarrero. "Metrics of Evolving Ego-Networks with Forgetting Factor." IJSODIT vol.6, no.1 2017: pp.35-47. http://doi.org/10.4018/IJSODIT.2017010103

APA

Sarmento, R. P. (2017). Metrics of Evolving Ego-Networks with Forgetting Factor. International Journal of Social and Organizational Dynamics in IT (IJSODIT), 6(1), 35-47. http://doi.org/10.4018/IJSODIT.2017010103

Chicago

Sarmento, Rui Portocarrero. "Metrics of Evolving Ego-Networks with Forgetting Factor," International Journal of Social and Organizational Dynamics in IT (IJSODIT) 6, no.1: 35-47. http://doi.org/10.4018/IJSODIT.2017010103

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Abstract

Nowadays, treating the data as a continuous real-time flux is an exigence explained by the need for immediate response to events in daily life. We study the data like an ongoing data stream and represent it by streaming egocentric networks (Ego-Networks) of the particular nodes under study. We use a non-standard node forgetting factor in the representation of the network data stream, as previously introduced in the related literature. This way the representation is sensible to recent events in users' networks and less sensible for the past node events. We study this method with large scale Ego-Networks taken from telecommunications social networks with power law distribution. We aim to compare and analysis some reference Ego-Networks metrics, and their variation with or without forgetting factor.

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