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

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DataCite Commons2020-08-26 更新2024-07-27 收录
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https://scielo.figshare.com/articles/A_social_network_analysis_applied_to_understand_the_relationships_in_fish_farming_tank-nets_business_in_Brazil/10025648/1
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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.

摘要:本文旨在针对巴西东南部某水库库区的罗非鱼网箱养殖户群体,分析其在社交网络中的嵌入状况,及其对网络内部信息传递的影响。本研究采用探索性研究范式,以多案例研究为基础开展定性研究。鉴于该社交网络中的行动者数量有限且需完成全员识别,研究采用名册法(Roster method)开展网络调研。本研究可帮助理解信息交换的频率、时长及所赋予的价值对养殖户的影响。研究借助UCINET®软件,通过社会网络分析(Social Network Analysis, SNA)对养殖户间关系的信任程度进行了量化测度。结果表明,信息传递量更高的主体,同时也是网络中的核心节点,且掌握最具价值的信息资源。
提供机构:
SciELO journals
创建时间:
2019-10-23
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