Vincent Labatut
Biographic Data
| ID | 142233 |
|---|---|
| NAME | Vincent Labatut |
| GIVEN NAMES | Vincent |
| FAMILY NAME | Labatut |
| SIGNATURE | LABATUT V |
| AFFILIATIONS | Laboratoire Informatique d'Avignon |
| ORCID | 0000-0002-2619-2835 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Interconnected Kingdoms
Multiple partitioning of multiplex signed networks
Opinion-based centrality in multiplex networks
Most people simultaneously belong to several distinct social networks, in which their relations can be different. They have opinions about certain topics, which they share and spread on these networks, and are influenced by the opinions of other persons. In this paper, we build upon this observation to propose a new nodal centrality measure for multiplex networks. Our measure, called Opinion centrality , is based on a stochastic model representin…
A review of features for the discrimination of twitter users
Interpreting communities based on the evolution of a dynamic attributed network
A community role approach to assess social capitalists visibility in the Twitter network
No prominent works on this page.
Interpreting communities based on the evolution of a dynamic attributed network
A community role approach to assess social capitalists visibility in the Twitter network
A review of features for the discrimination of twitter users
Opinion-based centrality in multiplex networks
Most people simultaneously belong to several distinct social networks, in which their relations can be different. They have opinions about certain topics, which they share and spread on these networks, and are influenced by the opinions of other persons. In this paper, we build upon this observation to propose a new nodal centrality measure for multiplex networks. Our measure, called Opinion centrality , is based on a stochastic model representin…
Multiple partitioning of multiplex signed networks
Interconnected Kingdoms
Complex Network Analysis Techniques (6 works) · Computer Science (5 works) · Artificial Intelligence (3 works) · Mathematics (3 works) · Opinion Dynamics and Social Influence (3 works) · Biology (2 works) · Combinatorics (2 works) · Data science (2 works) · Spam and Phishing Detection (2 works) · Theoretical Computer Science (2 works)