Francisco Chiclana
Biographic Data
| ID | 1930305 |
|---|---|
| NAME | Francisco Chiclana |
| GIVEN NAMES | Francisco |
| FAMILY NAME | Chiclana |
| SIGNATURE | CHICLANA F |
| AFFILIATIONS | De Montfort University |
| ORCID | 0000-0002-3952-4210 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Evolution of Credit Scores of Enterprises in a Social Network
The use of social network to model the evolution of credit scores of networked enterprises is still a challenging task. This article develops an opinion dynamics model of the evolution of credit scores of enterprises in a social network. Firstly, based on the number of potential cooperated enterprises and the initial credit scores, the leader and follower enterprises are identified. Then, taking into consideration the cooperated benefit and discr…
Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Making
Impact of Decision Rules and Non-cooperative Behaviors on Minimum Consensus Cost in Group Decision Making
ArAutoSenti
Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model
Nowadays, about half of the world population can receive information and exchange opinions in online environments (e.g. the Internet), while the other half do so o line (e.g. face to face). The speed at which information is received and opinions are exchanged in online environment is much faster than o line. To model this phenomenon, in this paper we consider online and o line as two subsystems in opinion dynamics and assume asynchronization when…
Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model
Nowadays, about half of the world population can receive information and exchange opinions in online environments (e.g. the Internet), while the other half do so o line (e.g. face to face). The speed at which information is received and opinions are exchanged in online environment is much faster than o line. To model this phenomenon, in this paper we consider online and o line as two subsystems in opinion dynamics and assume asynchronization when…
Asynchronous Opinion Dynamics with Online and Offline Interactions in Bounded Confidence Model
Nowadays, about half of the world population can receive information and exchange opinions in online environments (e.g. the Internet), while the other half do so o line (e.g. face to face). The speed at which information is received and opinions are exchanged in online environment is much faster than o line. To model this phenomenon, in this paper we consider online and o line as two subsystems in opinion dynamics and assume asynchronization when…
ArAutoSenti
Impact of Decision Rules and Non-cooperative Behaviors on Minimum Consensus Cost in Group Decision Making
Consensus-trust Driven Bidirectional Feedback Mechanism for Improving Consensus in Social Network Large-group Decision Making
Evolution of Credit Scores of Enterprises in a Social Network
The use of social network to model the evolution of credit scores of networked enterprises is still a challenging task. This article develops an opinion dynamics model of the evolution of credit scores of enterprises in a social network. Firstly, based on the number of potential cooperated enterprises and the initial credit scores, the leader and follower enterprises are identified. Then, taking into consideration the cooperated benefit and discr…
Computer Science (5 works) · Artificial Intelligence (4 works) · Complex Network Analysis Techniques (3 works) · Economics (3 works) · Opinion Dynamics and Social Influence (3 works) · Psychology (3 works) · Mathematics (2 works) · Multi-Criteria Decision Making (2 works) · Social Psychology (2 works) · Advanced Text Analysis Techniques (1 works)