Social Work

Emergence and evolution of social networks through exploration of the Adjacent Possible space

E. Ubaldi, R. Burioni, et al.

Discover a groundbreaking microscopic model for social network growth by Enrico Ubaldi, Raffaella Burioni, Vittorio Loreto, and Francesca Tria! This research vividly illustrates the dynamics of acquiring acquaintances and interactions, validating its findings against real-world networks like Twitter and co-authorship in APS.

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Abstract

This paper presents a microscopic model for the growth and dynamics of social networks, leveraging a mathematical formalization of the Adjacent Possible space. The model accurately reproduces individual-level acquisition of new acquaintances and interaction allocation, as well as macroscopic features like degree and activity distributions, clustering, and community structure. Its validity is demonstrated through comparisons with three real-world social networks: Twitter mentions, APS co-authorship, and a mobile phone call network.

Publisher

Communications Physics

Published On

Feb 16, 2021

Authors

Enrico Ubaldi, Raffaella Burioni, Vittorio Loreto, Francesca Tria

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