DeWeese, June L. (author), Esslinger, Donald L. (author), McCorkle, Constance M. (author), and McCorkle: Research Assistant Professor, Department of Rural Sociology, University of Missouri, Columbia; Esslinger: Professor and Interim Director, Extension Information and Agricultural Editor, University of Missouri, Columbia; DeWeese: Social Science Librarian, University of Missouri, Columbia
Format:
Conference paper
Publication Date:
1988
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 74 Document Number: C03706
Notes:
James F. Evans Collection, Mimeographed, 1988. 28 p. Paper presented to the Global Information/Communication Session of the 1988 Farming Systems Research and Extension Symposium; 1988 October 9-12; University of Arkansas, Fayetteville, AR
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 94 Document Number: C07138
Notes:
James F. Evans Collection, In: Communication research in progress, Iowa State University. Presented to NCR-90 meeting, October 25-27, 1988. Mimeograph. [p. 6-7]
Montgomery, Florita Stubbs (author / Extension Press Specialist, Extension Assistant Professor, West Virginia University, Morgantown, WV) and Extension Press Specialist, Extension Assistant Professor, West Virginia University, Morgantown, WV
Format:
Conference paper
Publication Date:
1990-07
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 81 Document Number: C04784
Notes:
James F. Evans Collection, Mimeographed, 1990. 14 p. Paper presented at the Agricultural Communicators in Education Conference; 1990 July 14-18; St Paul, MN
Gerakis, Argyrios (author), Tucker, Mark (author), Whiting, Larry R. (author), and Professor of Extension, Professor of Agricultural Education, and Head, Information and Applied Communications, Ohio State University, Columbus, OH; Professor of Extension, Professor of Agricultural Education, and Head, Information and Applied Communications, Ohio State University, Columbus, OH; Associate Editor, Information and Applied Communications, Ohio State University, Columbus, OH
Format:
Conference paper
Publication Date:
1989
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 76 Document Number: C04061
Notes:
James F. Evans Collection, Mimeographed, 1989. 49 p. paper presented at the NCR90 Communication Research Meeting; 1989 October 25; Ohio State University, Columbus, OH
Social Networks like Facebook, Twitter, YouTube and WhatsApp are now becoming very popular tools that are used for sharing the latest and important farming based information in different part of India. These tools are now widely used by Agricultural Extension and Advisory services to interact with the farmers for exchanging agricultural related information in India. The most influential farmers in a network can disseminate the information to the less central farmers of the network. The extension functionaries that promote the agricultural innovation will share the information with the most central members which in turn will share it with maximum number of the members of a social network. Social Network Analysis (SNA) acts as an efficient analytical tool that helps us to understand the relationship between farmer stakeholders and the importance of a farmer's position in the entire network. In this paper, a structural analysis of the Social Network is performed over two datasets, namely, Facebook-like dataset and Twitter Lists dataset. Here, we have studied the importance of individual nodes in the network through various centrality measures. SNA properties like centralities are used to represent the most central nodes that can act as a good influence spreader in the network. In this paper, initially the k-core decomposition method is used to find a set of influential nodes among all the nodes in the network. It is done to reduce the computational time. Our simulation shows that the nodes with higher Page Rank centrality can activate more members in a network as compared to other centrality measures. For Information diffusion, we have used Linear Threshold (LT) Model to understand the influence spread of the central farmers in the network.
Ruesink, Lou Ellen (author / Information Specialist, Texas Water Resources Institute) and Information Specialist, Texas Water Resources Institute
Format:
Conference paper
Publication Date:
1984
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 51 Document Number: C00545
Notes:
AgComm Teaching, In: Research papers presented at the 1984 National ACE Meeting; 1984 June 28; Washington, D.C. [s.l.] : Agricultural Communicators in Education, 1984. 8 p.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 50 Document Number: C00347
Notes:
Phase I, In Proceedings of the Southern Pasture and Forage Crop Improvement Conference. New Orleans, Agricultural Research (Southern Region), Science and Education Administration, U.S. Dept. of Agriculture. pp. 45-50.
