Lotfi Ben Romdhane
Biographic Data
| ID | 1757708 |
|---|---|
| NAME | Lotfi Ben Romdhane |
| GIVEN NAMES | Lotfi Ben |
| FAMILY NAME | Romdhane |
| SIGNATURE | BEN ROMDHANE L |
| AFFILIATIONS | University of Sousse |
| ORCID | 0000-0003-2163-5809 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
A model for web services reputation based on social networks data with application to X
The proliferation of web services, along with their increasing adoption by prominent Internet companies and a substantial user base, has led to a heightened focus on them within the industry and the research community. This growing dependence necessitates accurate reputation assessment to ensure reliability and trustworthiness. Traditional models rely heavily on user ratings, which are often subject to bias and manipulation. In this paper, we pro…
A Graph Sampling-Based Model for Influence Maximization in Large-Scale Social Networks
Social networks have attracted a great deal of attention and have, in fact, changed the way we produce, consume, and diffuse information. This change gave rise to the notion of social influence and today we talk about influential nodes. The process of detecting influential nodes in social networks aims to find entities that propagate information to a large portion of the network users. This process is often known as the influence maximization (IM…
Trustworthy decentralization based on blockchain tools for social network architectures
Machine learning-based method to predict influential nodes in dynamic social networks
Opinion mining in online social media
Tweet contextualization
Community detection in large-scale social networks
Community detection in large-scale social networks
Tweet contextualization
Machine learning-based method to predict influential nodes in dynamic social networks
Opinion mining in online social media
A Graph Sampling-Based Model for Influence Maximization in Large-Scale Social Networks
Social networks have attracted a great deal of attention and have, in fact, changed the way we produce, consume, and diffuse information. This change gave rise to the notion of social influence and today we talk about influential nodes. The process of detecting influential nodes in social networks aims to find entities that propagate information to a large portion of the network users. This process is often known as the influence maximization (IM…
Trustworthy decentralization based on blockchain tools for social network architectures
A model for web services reputation based on social networks data with application to X
The proliferation of web services, along with their increasing adoption by prominent Internet companies and a substantial user base, has led to a heightened focus on them within the industry and the research community. This growing dependence necessitates accurate reputation assessment to ensure reliability and trustworthiness. Traditional models rely heavily on user ratings, which are often subject to bias and manipulation. In this paper, we pro…
Computer Science (7 works) · Social media (6 works) · World Wide Web (6 works) · Data science (5 works) · Artificial Intelligence (4 works) · Complex Network Analysis Techniques (3 works) · Mathematics (3 works) · Opinion Dynamics and Social Influence (3 works) · Advanced Graph Neural Networks (2 works) · Advanced Text Analysis Techniques (2 works)