Comment Diffusons-nous sur les R\'eseaux Sociaux ?

TL;DR

This paper investigates how information spreads on social networks by analyzing user behavior and diffusion patterns during specific events, using new measures to understand the conditions prompting individuals to share opinions.

Contribution

It introduces novel measures to characterize diffusion behavior and applies them to social media data related to two significant 2015 events.

Findings

Identified key factors influencing information sharing

Characterized diffusion patterns for different types of events

Provided insights into social media engagement dynamics

Abstract

The emergence of new communication media such as blogs, online newspapers and social networks allow us to go further in the understanding of human behavior. Indeed, these public exchange spaces are now firmly planted in our modern society and appear to be powerful sensors of social behavior and opinion movements. In this paper, we focus on information spreading and attempt to understand what are the conditions in which a person decides to speak on a subject. For this purpose, we propose a set of measures that aim to characterize the diffusion behavior. Our measures have been used on messages related to two events that took place in January 2015: presentation by Microsoft of a new virtual reality headset and the election of a political party of radical left in Greece.