Zhaogang Ding
Biographic Data
| ID | 4979113 |
|---|---|
| NAME | Zhaogang Ding |
| GIVEN NAMES | Zhaogang |
| FAMILY NAME | Ding |
| SIGNATURE | DING Z |
| AFFILIATIONS | Northwest University |
| ORCID | 0000-0002-0736-6545 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
Consensus Convergence Speed in Social Network DeGroot Model
In group decision making (GDM), opinion dynamics is a useful tool to investigate consensus formation. Notably, consensus convergence speed is of key importance to manage the consensus formation in GDM with opinion dynamics. Recently, social network DeGroot (SNDG) model has been widely used in opinion dynamics. Based on this, this article dedicates to study how agents’ high self-confidence levels affect the consensus convergence speed in SNDG mode…
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…
Consensus Convergence Speed in Social Network DeGroot Model
In group decision making (GDM), opinion dynamics is a useful tool to investigate consensus formation. Notably, consensus convergence speed is of key importance to manage the consensus formation in GDM with opinion dynamics. Recently, social network DeGroot (SNDG) model has been widely used in opinion dynamics. Based on this, this article dedicates to study how agents’ high self-confidence levels affect the consensus convergence speed in SNDG mode…
Complex Network Analysis Techniques (2 works) · Computer Science (2 works) · Opinion Dynamics and Social Influence (2 works) · Asynchronous communication (1 works) · Bounded function (1 works) · Dynamics (music (1 works) · Econometrics (1 works) · Economics (1 works) · Face (sociological concept (1 works) · Human Mobility and Location-Based Analysis (1 works)