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Influence of bursty interaction patterns on tie strength in tie-decay temporal networks

Dankers, Anna (2020) Influence of bursty interaction patterns on tie strength in tie-decay temporal networks.

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Abstract:This paper investigates the influence of bursty interactions patterns on the tie strength and the clustering coefficient in tie-decay temporal networks. To model bursty interaction patterns, we use a Markov process with two states and a high and low interaction probability. This Markov model is used to find expressions for the expected value and variance of tie strength for different degrees of burstiness. Moreover, we explore the behaviour of the clustering coefficient of networks with bursty interaction patterns. We find that the mean tie strength remains constant for different degrees of burstiness. However, the expected value of peaks in tie strength and the variance of tie strength increase as interaction patterns get more bursty, which results in a decreasing clustering coefficient.
Item Type:Essay (Bachelor)
Clients:
Unknown organization, Enschede
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:31 mathematics
Programme:Applied Mathematics BSc (56965)
Link to this item:https://purl.utwente.nl/essays/80614
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