A review of features for the discrimination of twitter users: application to the prediction of offline influence

JV Cossu, V Labatut, N Dugué - Social Network Analysis and Mining, 2016 - Springer
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 category, age …

Automatic detection of influencers in social networks: Authority versus domain signals

J Rodríguez‐Vidal, J Gonzalo, L Plaza… - Journal of the …, 2019 - Wiley Online Library
Given the task of finding influencers (opinion makers) for a given domain in a social network,
we investigate (a) what is the relative importance of domain and authority signals,(b) what is …

Identifying and classifying influencers in twitter only with textual information

V Nebot, F Rangel, R Berlanga, P Rosso - … 2018, Paris, France, June 13-15 …, 2018 - Springer
Abstract Online Reputation Management systems aim at identifying and classifying Twitter
influencers due to their importance for brands. Current methods mainly rely on metrics …

Influence lifetime: modeling the temporal variation of social influence through domains

H Oufaida, LS Lhadj, S Oufaida, A Grine… - Social Network Analysis …, 2024 - Springer
Abstract Thanks to Social Networks (SNs), influencers have gained a crucial role in the
business ecosystem. They are recognized for their substantial impact and credibility …

Detecting Influencers in Social Media using information from their followers

Given the task of finding influencers of a given domain (ie banking) in a social network, in
this paper we investigate (i) the importance of characterizing followers for the automatic …

Measuring citizen satisfaction with e-government services by using sentiment analysis technology

RM Aliguliyev, GY Iskandarli - International Journal of …, 2022 - inderscienceonline.com
The state provides various services to citizens. Whereas the provision of these services
electronically is an essential part of the e-government strategy, it is not enough. Thus …

[PDF][PDF] Combining Heterogeneous Information: Contributions to the Extraction and Analysis of Feature-Rich Complex Networks

V Labatut - 2021 - theses.hal.science
The expression Complex networks started to be used in the late s and early s to name
graphs used to model real-world complex systems [,,]. Here, the term system refers to a set of …