Scientific School Image Development of a University Based on the System of Public Relations

The article considers the problem of educational institution promotion in the external socio-cultural environment via innovative management, in particular, the Public relations system. The solution to this problem is important in terms of fierce competition in the educational services market. The authors draw attention to the fact that scientific schools as unique associations of university science representatives can be considered as one of the effective elements of the university image policy development. They outlined the primary tasks of the university scientific school positive image development in the public relations system, PR tools are highlighted in the internal university environment and in the external sphere of the university, where the following segments are considered as the target audience: the scientific community outside the university, potential employers of university graduates, and the population represented by potential applicants and their parents

Punishment and Gossip: Sustaining Cooperation in a Public Goods Game

In an environment in which free-riders are better off than cooperators, social control is required to foster and maintain coopera- tion. There are two main paths through which social control can be ap- plied: punishment and reputation. Our experiments explore the efficacy of punishment and reputation on cooperation rates, both in isolation and in combination. Using a Public Goods Game, we are interested in assessing how cooperation rates change when agents can play one of two different reactive strategies, i.e., they can pay a cost in order to reduce the payoff of free-riders, or they can know others\u27 reputation and then either play defect with free-riders, or refuse to interact with them. Co- operation is maintained at a high level through punishment, but also reputation-based partner selection proves effective in maintaining coop- eration. However, when agents are informed about free-riders\u27 reputation and play Defect, cooperation decreases. Finally, a combination of punish- ment and reputation-based partner selection leads to higher cooperation rates

A game theoretical approach for reputation propagation in online social networks

Formation of mutual trust between users of an Online Social Network (OSN ) is a function of many parameters. One of these parameters that has been widely investigated is the reputation of users. Users interact with each other with different intentions and as a result of their interactions they propagate each other's reputation. In the absence of centralized trusted parties in OSN s, the only way for an agent to estimate others' reputation is the other agents' thoughts about that agent. Therefore, intention and behavior of agents in the propagation of each other's reputation become crucial. In this thesis, we propose a game theoretic model of reputation propagation among users in OSN s. We use this model to first study the dynamics of propagation and then analyze users' behavior with respect to their reputation in the network. To do so, we expose the Nash equilibria of the proposed game. Finally, we develop some experiments on the large-scale social network of Epinons and compare our findings in the theoretical part with the observations from the experiments

REPUTATION FOR INNOVATING SOCIAL NETWORKS

Reputation is a fundamental instrument of partner selection. Developed within the domain of electronic auctions, reputation technology is being been imported by other applications, from social networks to institutional evaluation. Its impact on trust enforcement is uncontroversial and its management is of primary concern for entrepreneurs and other economic operators.In this paper, we will briefly report on simulation-based studies of the role of reputation as a more tolerant form of social capital than familiarity networks. Whereas the latter exclude nontrustworthy partners, reputation is a more inclusive mechanism on which larger and more dynamic networks are constructed. After the presentation of the theory of reputation developed by the authors in the last decade, a computational system (REPAGE) for forming and exchanging reputation information will be presented and findings from experimental simulations recently run on this system will be resumed. Final remarks and ideas for future work will conclude the paper.Artificial societies, reputation, innovation, social networks