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A social network analysis applied to understand the relationships in fish farming tank-nets business in Brazil

Bibliographic Data

ID5143667
AuthorsRaiane Real Martinelli (0000-0003-4528-744X), Gessuir Pigatto (0000-0002-5240-2381), Timóteo Ramos Queiroz (0000-0001-9327-4462), Mário Mollo Neto (0000-0002-8341-4190)
Year2019
Pages659-678
Publication date2019-09-23
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInterações (Campo Grande (JOURNAL)
Journal identifiersISSN: 1518-7012 • E-ISSN: 1984-042X
PublisherUniversidade Catolica Dom Bosco (PUBLISHER • BR)
DOI10.20435/inter.v20i3.2038
OpenAlexW2986655015
LanguageEN
References cited8

The present article aims to analyze the insertion of tilapia tank-nets producers in social networks and their influence on the information transfer within the network, from a group of fish farmers located in a reservoir in southeastern Brazil. Exploratory methods characterize this research, which has a qualitative approach based on a multi-case study. Roster method conducts the network research taking into account the limited number of actors in the network and the identification of all. This article allows an understanding of the influence of frequency, time and value attributed to the exchange of information among fish farmers. The trust degree in the relationships between fish farmers was measured through a Social Network Analysis (SNA) with the help of the UCINET(R) software. The results show that the transmitters of more information are the same that present themselves as central in the network and those who have the most valuable information

Biology · Business · Exploratory research · Fish · Fishery · Identification (biology · Information exchange · Knowledge management · Network analysis · Social media · Social network (sociolinguistics · Social network analysis · Social science · Sociology · Telecommunications · Value (mathematics · World Wide Web · Agricultural Innovations and Practices · Computer Science · Engineering · Innovation and Socioeconomic Development · Ecology

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Citation velocityhistorical
Highly citedNo

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