scholarly journals A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

2020 ◽  
Vol 10 (19) ◽  
pp. 6746
Author(s):  
Guillem Aguado ◽  
Vicente Julián ◽  
Ana García-Fornes ◽  
Agustín Espinosa
Keyword(s):  
Social Network ◽  
Social Interaction ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Network Sites ◽  
User Interaction ◽  
Risk Prevention ◽  
Multi Agent System ◽  
Multi Agent ◽  
User Recommendation

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.

The Use of Facebook by International Students for Information-seeking in Malaysia: A Social Network Analysis

Libri ◽  
2020 ◽  
Vol 70 (3) ◽  
pp. 251-268
Author(s):  
Sarah Bukhari ◽  
Suraya Hamid ◽  
Sri Devi Ravana ◽  
Sherah Kurnia ◽  
Shanton Chang ◽  
...  
Keyword(s):  
Social Network ◽  
International Students ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Seeking ◽  
Social Engagement ◽  
Information Exchange ◽  
Information Source ◽  
Social Network Sites ◽  
Graph Metrics

AbstractInternational students are valuable resources in higher education but they often face challenges due to lack of social engagement and unfamiliarity with the new social context. The use of social network sites (SNS) such as Facebook has the potential to support international students, but limited studies have examined the actual information seeking behaviour of this group of students. Therefore, this study aims to investigate the use of Facebook groups as an example of an SNS by international students for information seeking purposes. Data were downloaded from the Facebook group of international students that belong to a public university in Malaysia, and the social network analysis technique was used to analyse the data. The result of the network graph metrics showed that 25% international students exhibit a high frequency of interaction, whereas 75% of students present low interaction. Meanwhile, the result of the vertex text attribute method identified three types of information exchange, as follows: 1) information need; 2) information source; and 3) general information during the interaction of international students. The information needs of international students differ before and after arriving in Malaysia. Thus, Facebook groups provide a platform for international students to seek information, gain knowledge, remain updated with university news, make decisions and solve problems. This study offers important implications to research and practice related to the use of social network sites to support international students.

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