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Agricultural information and knowledge network in rural India: a case of Bihar
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In this paper, the key informants in a village setup were studied to understand the existing social and knowledge systems of farmers, their structure, and relationships between different actors in a farming setup.Abstract:
Purpose: The key informants in a village setup were studied to understand the existing social and knowledge systems of farmers, their structure, and relationships between different actors. The purp...read more
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The use of data mining technology in agricultural e-commerce under the background of 6G Internet of things communication
TL;DR: In this exploration, the data mining technology is used to optimize the agricultural products distribution mode, which makes a beneficial exploration for solving the logistics bottleneck problem in the e-commerce environment, enriches the research of E-commerce logistics distribution system, and provides reference for promoting the development of agricultural products e- commerce logistics system and improving the efficiency of agricultural Products logistics distribution.
Journal ArticleDOI
Social capital and farmers’ leadership in Iranian rural communities: application of social network analysis
Zohreh Moghfeli,Mehdi Ghorbani,Mohammad Rezvani,Mohammadamin Khorasani,Hossein Azadi,Jürgen Scheffran +5 more
TL;DR: In this article , the role of social capital and leadership in improving the adaptive capacity of Iranian pistachio farmers by using Social Network Analysis (SNA) was analyzed, and the results indicated that the studied network is not a dense network, and there are few reciprocal and face-to-face relations among farmers.
Journal ArticleDOI
The Role of Extension and Advisory Services in Strengthening Farmers’ Innovation Networks to Adapt to Climate Extremes
TL;DR: In this article, the authors investigated how EAS can strengthen farmers' innovation networks by examining DAE's efforts to adapt rice cultivation to flash flooding and showed the value of including both formal and informal actors in the innovation network as a way of ensuring diversity of information access.
Journal ArticleDOI
Perceptions of knowledge management capacity within extension services: an exploratory factor analysis approach
TL;DR: The purpose was to analyze perceptions of knowledge management capacity in extension networks using an exploratory factor analysis approach and the knowledge management content domain was analyzed for perceptions.
Journal ArticleDOI
The Million Farmers School: evaluating its impact on farmers' agricultural knowledge in Uttar Pradesh, India
TL;DR: In this paper , the authors employed matching methods, the two-stage least square (2SLS)-residual and endogenous switching regression approaches to control for selection bias and endogeneity.
References
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Journal ArticleDOI
Centrality in social networks conceptual clarification
TL;DR: In this article, three distinct intuitive notions of centrality are uncovered and existing measures are refined to embody these conceptions, and the implications of these measures for the experimental study of small groups are examined.
Book
Social Network Analysis: A Handbook
TL;DR: Networks and Relations The Development of Social Network Analysis Handling Relational Data Lines, Direction and Density Centrality and Centralization Components, Cores, and Cliques Positions, Roles and Clusters Dimensions and Displays Appendix Social Network Packages
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Power and Centrality: A Family of Measures
TL;DR: In this article, the rank orderings by the four networks whose analysis forms the heart of this paper were analyzed and compared to the rank ordering by the three centrality measures, i.e., betweenness, nearness, and degree.
Journal ArticleDOI
Network Analysis in the Social Sciences
TL;DR: The kinds of things that social scientists have tried to explain using social network analysis are reviewed and a nutshell description of the basic assumptions, goals, and explanatory mechanisms prevalent in the field is provided.
Journal ArticleDOI
Centrality and network flow
TL;DR: A key claim made in this paper is that centrality measures can be regarded as generating expected values for certain kinds of node outcomes given implicit models of how traffic flows, and that this provides a new and useful way of thinking about centrality.