activity
20142019
most citedA Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence

31 citations · 58 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2019★ 2 cited

Complex networks based word embeddings

Nicolas Dugué, Victor Connes

Most of the time, the first step to learn word embeddings is to build a word co-occurrence matrix. As such matrices are equivalent to graphs, complex networks theory can naturally…

cs.CL2015★ 31 cited

A Review of Features for the Discrimination of Twitter Users: Application to the Prediction of Offline Influence

Jean-Valère Cossu, Vincent Labatut, Nicolas Dugué

Many works related to Twitter aim at characterizing its users in some way: role on the service (spammers, bots, organizations, etc.), nature of the user (socio-professional categor…

cs.SI2015★ 11 cited

A community role approach to assess social capitalists visibility in the Twitter network

Nicolas Dugué, Vincent Labatut, Anthony Perez

In the context of Twitter, social capitalists are specific users trying to increase their number of followers and interactions by any means. These users are not healthy for the ser…

cs.SI2015

Detecting Real-World Influence Through Twitter

Jean-Val{è}re Cossu, Nicolas Dugu{é}, Vincent Labatut

In this paper, we investigate the issue of detecting the real-life influence of people based on their Twitter account. We propose an overview of common Twitter features used to cha…

cs.SI2014★ 14 cited

Identifying the Community Roles of Social Capitalists in the Twitter Network

Vincent Labatut, Nicolas Dugué, Anthony Perez

In the context of Twitter, social capitalists are specific users trying to increase their number of followers and interactions by any means. These users are not healthy for the Twi…