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

Martinelli, Raiane Real; Pigatto, Gessuir; Queiroz, Timóteo Ramos; Mollo, Mário

doi:10.20435/inter.v20i3.2038

Acessibilidade / Reportar erro

Brasil

Interações (Campo Grande)

Español English

Brasil

Español English

sumário « anterior atual seguinte »

Sumário

Artigos • Interações (Campo Grande) 20 (3) • Jul-Sep 2019 • https://doi.org/10.20435/inter.v20i3.2038 copy

A social network analysis applied to understand the relationships in fish farming tank-nets business in Brazil¹ 1 The authors would like to thank FAPESP (2014/16075-2) for the research grant awarded to the first author to develop the research that originated this paper.

Análise de rede social aplicada para compreender as relações nos negócios de piscicultura em tanque-rede no Brasil

Análisis de la red social aplicada para comprender las relaciones en los negocios de piscicultura en tanque-red en Brasil

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract:

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® 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.

Keywords:
social networks; fish farming; social capital; Social Network Analysis

Centrality measures	Description / definition	Example
*Degree Centrality*	Based on the number of ties connecting a network actor directly to other actors. The analysis made by measuring the number of connections that an actor has within the group.	"F" connects to all other actors in the network, so it has high degree centrality (100%)
*Closeness centrality*	Based on the proximity or "geodesic" of an actor from the other actors in a network. Calculated from the minimum number of connections that an actor needs to travel to access any other point in the network.	"F" is a central actor in the network, so that its total geodesic from all other points on the network is smaller than that of other actors. "F" has high closeness centrality.
*Betweenness centrality*	Based on the ability of a given actor to connect with multiple actors who do not connect directly and act as an intermediary of interactions of these non-adjacent actors.	"F" mediates between "B" and "E", actors that would be disconnected in the absence of "F".

	Degree	Closeness	Betweenness
FF1	45.455	64.706	0.000
FF2	72.727	78.571	1.909
FF3	63.636	73.333	0.727
FF4	63.636	73.333	0.303
FF5	81.818	84.615	3.273
FF6	100.000	100.000	8.242
FF7	54.545	68.750	0.000
FF8	72.727	78.571	1.485
FF9	100.000	100.000	8.242
FF10	100.000	100.000	8.242
FF11	63.636	73.333	0.303
FF12	54.545	68.750	0.000

	Frequency	Time	Value	Trust
FF9	90,90%	90,90%	90,90%	90,90%
FF6	81,81%	81,81%	81,81%	81,81%
FF10	81,81%	81,81%	81,81%	81,81%
FF2	72,72%	72,72%	72,72%	72,72%
FF5	72,72%	72,72%	72,72%	72,72%
FF8	72,72%	72,72%	72,72%	72,72%
FF3	54,54%	54,54%	54,54%	54,54%
FF4	54,54%	54,54%	54,54%	54,54%
FF1	54,54%	45,45%	45,45%	48,48%
FF11	54,54%	45,45%	45,45%	48,48%
FF7	27,27%	27,27%	27,27%	27,27%
FF12	27,27%	27,27%	27,27%	27,27%

Universidade Católica Dom Bosco Av. Tamandaré, 6000 - Jd. Seminário, 79117-900 Campo Grande- MS - Brasil, Tel./Fax: (55 67) 3312-3373/3377 - Campo Grande - MS - Brazil
E-mail: suzantoniazzo@ucdb.br

Acompanhe os números deste periódico no seu leitor de RSS

[1] Raiane Real Martinelli - Degree in Zootechny (Universidade Estadual de Maringá [UEM], Brasil), Master in Agribusiness and Development (PGAD) (Univ Estadual Paulista [UNESP], Brasil). Doctor student in Zootechny (UEM, Brasil). Research interest: Agribusiness; Pisciculture; Management. E-mail: raiane.rm@hotmail.com, Orcid: http://orcid.org/0000-0003-4528-744X

Brasil

Brasil

A social network analysis applied to understand the relationships in fish farming tank-nets business in Brazil1 1 The authors would like to thank FAPESP (2014/16075-2) for the research grant awarded to the first author to develop the research that originated this paper.

Análise de rede social aplicada para compreender as relações nos negócios de piscicultura em tanque-rede no Brasil

Análisis de la red social aplicada para comprender las relaciones en los negocios de piscicultura en tanque-red en Brasil

Abstract:

A social network analysis applied to understand the relationships in fish farming tank-nets business in Brazil¹ 1 The authors would like to thank FAPESP (2014/16075-2) for the research grant awarded to the first author to develop the research that originated this paper.