Political Science

Dynamics of social network emergence explain network evolution

C. Pomeroy, R. M. Bond, et al.

This research conducted by Caleb Pomeroy, Robert M. Bond, Peter J. Mucha, and Skyler J. Cranmer delves into the fascinating dynamics of networked systems. Explore how an initial cycle of rapid tie expansion and contraction illuminates the eventual structure and interactions within a social network, shedding light on scientific collaboration through a proposed model of churn.

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Playback language: English

Index

Abstract

Networked systems emerge and subsequently evolve. This paper reports on a temporal survey of a real-world social network from its inception, finding an initial cycle of rapid tie expansion and contraction ('churn'). This churn process helps explain the network's eventual structure and interactions (scientific collaboration in this case). A stylized model of churn is proposed, suggesting these emergence dynamics are crucial for understanding network details and later behavioral outcomes.

Publisher

Scientific Reports

Published On

Dec 14, 2020

Authors

Caleb Pomeroy, Robert M. Bond, Peter J. Mucha, Skyler J. Cranmer

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