Hierarchical social network analysis using multi-agent systems: A school system case

Author(s):  
Lizhu Ma ◽  
Yu Zhang
Author(s):  
Enrico Franchi ◽  
Agostino Poggi

The evolution of multi-agent systems theories and technologies has important relationships with the evolution of social networks. In fact, the study of social structures such as organizations and coalitions is one of the most important topics of the research on multi-agent systems; while such a study can take advantage of the works on social network analysis, multi-agent systems can be used both for simulating the evolution of social networks and for providing technological supports for the realization of services for such kinds of networks. This chapter has the goal of describing the relationships between multi-agent systems and social networks and how multi-agent systems technologies and techniques have been used and can be used in support of social networks.


Author(s):  
Enrico Franchi ◽  
Agostino Poggi ◽  
Michele Tomaiuolo

This chapter has the goal of showing how multi-agent systems can be a suitable means for supporting the development and the composition of services in dynamic and complex environments. In particular, the chapter copes with the problem of developing services in the field of social networks. After an introduction on the relationships between multi-agent systems, services, and social networks, the chapter describes how multi-agent systems can support the interaction and the collaboration among the members of a social network through a set of active services.


2020 ◽  
Vol 10 (19) ◽  
pp. 6746
Author(s):  
Guillem Aguado ◽  
Vicente Julián ◽  
Ana García-Fornes ◽  
Agustín Espinosa

In the current world we live immersed in online applications, being one of the most present of them Social Network Sites (SNSs), and different issues arise from this interaction. Therefore, there is a need for research that addresses the potential issues born from the increasing user interaction when navigating. For this reason, in this survey we explore works in the line of prevention of risks that can arise from social interaction in online environments, focusing on works using Multi-Agent System (MAS) technologies. For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed. We review with special attention works using MAS technologies for user recommendation and guiding. Through the analysis of previous approaches on detection of the user state and risk prevention in SNSs we elaborate potential future lines of work that might lead to future applications where users can navigate and interact between each other in a more safe way.


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