Experiments in Inferring Social Networks of Diffusion
Social and Information Networks
2019-10-11 v1 Information Theory
math.IT
Abstract
Information diffusion is a fundamental process that takes place over networks. While it is rarely realistic to observe the individual transmissions of the information diffusion process, it is typically possible to observe when individuals first publish the information. We look specifically at previously published algorithm NETINF that probabilistically identifies the optimal network that best explains the observed infection times. We explore how the algorithm could perform on a range of intrinsically different social and information network topologies, from news blogs and websites to Twitter to Reddit.
Keywords
Cite
@article{arxiv.1910.04277,
title = {Experiments in Inferring Social Networks of Diffusion},
author = {Daniel Campos and Zoe Konrad},
journal= {arXiv preprint arXiv:1910.04277},
year = {2019}
}