Emergence of Bursts and Communities in Evolving Weighted Networks
Hang-Hyun Jo, Raj Kumar Pan, and Kimmo Kaski

TL;DR
This paper presents a network model demonstrating how community structures and bursty human activity patterns emerge simultaneously, aligning with empirical mobile phone data and highlighting the role of social and task-driven mechanisms.
Contribution
It introduces a comprehensive model combining social interaction and human dynamics mechanisms to explain the emergence of communities and bursty activity in evolving weighted networks.
Findings
Emergence of heavy-tailed inter-event time distributions.
Development of Granovetter-like community structures.
Qualitative agreement with empirical mobile phone data.
Abstract
Understanding the patterns of human dynamics and social interaction, and the way they lead to the formation of an organized and functional society are important issues especially for techno-social development. Addressing these issues of social networks has recently become possible through large scale data analysis of e.g. mobile phone call records, which has revealed the existence of modular or community structure with many links between nodes of the same community and relatively few links between nodes of different communities. The weights of links, e.g. the number of calls between two users, and the network topology are found correlated such that intra-community links are stronger compared to the weak inter-community links. This is known as Granovetter's "The strength of weak ties" hypothesis. In addition to this inhomogeneous community structure, the temporal patterns of human…
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