Information Diffusion in Multiplex Networks

23 Pages Posted: 17 Sep 2019

See all articles by Valentina Assenova

Valentina Assenova

The Wharton School, University of Pennsylvania

Nidhi Sridhar

University of Pennsylvania - Department of Computer and Information Science

Date Written: January 29, 2019

Abstract

The diffusion of information through social networks presents an important area of research in social science, with applications to a variety of processes including the spread of new technologies. The majority of existing research has focused on modeling diffusion in simplex (one-layer) networks, yet many networks are multiplex (multi-layered), spanning many kinds of ties. We consider the role that multiplexity plays in diffusion, specifically through information bridging across structurally similar (vs. dissimilar) layers. Our simulations reveal that these layers exhibit distinct properties affecting diffusion, such as connectedness, clustering, and density, and are associated with different diffusion curves over time.

Keywords: Networks; Multiplexity; Diffusion

JEL Classification: O3; D8; Z1

Suggested Citation

Assenova, Valentina and Sridhar, Nidhi, Information Diffusion in Multiplex Networks (January 29, 2019). Available at SSRN: https://ssrn.com/abstract=3449800 or http://dx.doi.org/10.2139/ssrn.3449800

Valentina Assenova (Contact Author)

The Wharton School, University of Pennsylvania ( email )

3620 Locust Walk
SHDH Suite 2000
Philadelphia, PA 19104-6370
United States

Nidhi Sridhar

University of Pennsylvania - Department of Computer and Information Science ( email )

3330 Walnut Street
Philadelphia, PA 19104
United States

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