Consensus in Social Networks of Compound Nodes
Opinion dynamics in network structures of special type are considered. Each node consists of two agents interacting with each other. The properties of consensus arising in such structures are studied using the DeGroot model.
A general model of socio-semantic network is presented in terms of state-transitions systems. We provide some examples and indicate research directions, which seem to us the most important from the application point of view.
The article presents the development of the ontology for a multi-agent subsystem analysing user posts in social networks in order to identify security threats to society. The testing of multi-agent subsystem using the developed ontology is described.
If you want to make beautiful music,
you must play the black and the white notes together.
Richard M. Nixon, the 37th President of USA
The problem of studying the achievement of consensus in social groups is related to the complexity of organizing such a study, especially for large groups, with more than five participants. In connection with the above, it is advisable to investigate the phenomenon of consensus in large social groups, using the modeling methodology.
The article presents the results of statistical modeling describing the dependence of the time to reach consensus on the number and authoritarianism of a social group members using two mathematical models of consensus achievement in a group based on the model proposed by DeGroot and model of the cellular automaton.
The main problems of attaining consensus under the settings of the proposed model during the development of consensus standards in technical committees on standardization were analyzed. It is shown that an increase in the number of social group members and their authoritarianism has an adverse impact on the time for reaching consensus and increases the disunity of the group.
A model of the cellular automaton modeling the achievement of consensus within the negotiation process has been were studied: the initial discrepancy between the opinions of the members of the group and the space of opinions of the members of the group. In particular, it is shown that if initially the views of the members of the group are radically different, then the process of reaching consensus will be as long as possible if one of the participants is absolutely authoritative. If initially the views of the members of the group are close, then the process of reaching consensus will also be as long as possible if both members of the group are absolutely compromise.
Comparative analysis of network and real-life identity explores two hypotheses: 1) aspects of identity, its different parameters may have diverse profiles for the network and the reality conditions; 2) they may also indicate gender and age differences. The study is held on the sample of 42 participants, aged from 15 to 25, who were interviewed. Gender and age differences were found referring to the social identity in the network and the reality, and for superficial identity in the network condition, as well as differences for individual and relational identity in the network and the reality conditions. Variability of the factor structure was found for the network condition in comparison with the aspects of identity in reality.