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Identifying people who are talking about the same topic in social networks, even having a different cultural background
Author(s) -
Gilberto Astolfi,
Vanessa Maia Aguiar de Magalhães,
Marcos Alexandre Rose Silva,
Júnia Coutinho Anacleto
Publication year - 2011
Publication title -
revista de informática teórica e aplicada
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.11
H-Index - 1
eISSN - 2175-2745
pISSN - 0103-4308
DOI - 10.22456/2175-2745.16996
Subject(s) - leverage (statistics) , value (mathematics) , social media , sociology , cultural issues , order (exchange) , cultural diversity , internet privacy , computer science , public relations , data science , psychology , social psychology , world wide web , artificial intelligence , political science , business , finance , machine learning , anthropology
Social media are assumed here as a blending of technology and social interaction for the co-creation of value, as in social networks. We discuss that in such environments, it is possible to find people with common interests that potentially can promote discussions, teaching and learning from each other. However, the approaches to recommend people to interact with in the social network still do not consider the users’ cultural background. This paper describes an approach to identify people who are talking about the same topic in social networks, even having a different cultural background, in order to introduce to each other and leverage interaction to exchange experience, knowledge, etc. Some tests’ results applying the proposal are presented. The approach was adopted in three different topics of discussion and the results suggest that the generated cultural understanding improves the chances of identifying people with similar interests.

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