Affiliation:
1. Université Lyon 3
2. Lyon University / iaelyon / Magellan Lab / Labex IMU
Abstract
Based upon the 55 days of lockdown that occurred during the Covid_19 disaster, the aim of this article is to answer to the following research question: “how can we characterize influencers in social networks?”. Analyzing more than 1.6 million of tweets, we propose a matrix that can be used to characterize an influencer. This matrix has 2 dimensions on one hand the five courses of actions an influencer can use and on the other hand the 3 types of motivation he has got. Regarding the methodology we used R and a qualitative content analysis and provided our scripts. This research is a part of the “lockdown lab” project.
Publisher
Management et Data Science