Exploring Image Virality in Google Plus
Social and Information Networks
2016-11-18 v1 Computers and Society
Multimedia
Physics and Society
Abstract
Reactions to posts in an online social network show different dynamics depending on several textual features of the corresponding content. Do similar dynamics exist when images are posted? Exploiting a novel dataset of posts, gathered from the most popular Google+ users, we try to give an answer to such a question. We describe several virality phenomena that emerge when taking into account visual characteristics of images (such as orientation, mean saturation, etc.). We also provide hypotheses and potential explanations for the dynamics behind them, and include cases for which common-sense expectations do not hold true in our experiments.
Cite
@article{arxiv.1309.3908,
title = {Exploring Image Virality in Google Plus},
author = {Marco Guerini and Jacopo Staiano and Davide Albanese},
journal= {arXiv preprint arXiv:1309.3908},
year = {2016}
}
Comments
8 pages, 8 figures. IEEE/ASE SocialCom 2013