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Social Network Structure of Health Promoting Clubs : The Case Study of Phitsanulok Province
(Atchara Purakom)*
. (Dr.Yothin Sawangdee)**
. (Dr.Patcharin Sirasoonthorn)***
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ABSTRACT
The research objective was to analyze social network structures of the Health Promoting Club in Phitsanulok
province. Main purposes of this study were to examine pattern of social network structures and to investigate the
network properties ; namely Centralization, Social cohesiveness, and Actor centralities . Two specific pattern of social
relations ; Information exchange network and Instrumental network, were also examined. Social network data were
collected through the dyadic relationship questionnaire and analyzed by UCINET version 6.158 whereas Netdraw
version 2.055 was applied to visualize pattern of the social network structures. According to the Social Network
Analysis q SNA , the over all network has been found in 2 main network features. Firstly , All channel network ,
which every individual actors were found directly interacted with each other around the network in order to sending
as well as receiving health messages in loose knit manner. Secondly , Tree network , which most of supports for the
whole network came from the core group whereas all sub-groups were tied in weak and strong ties.
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Key words : Social network structure, Centralization, Social cohesiveness, Actor centralitie
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5'?01@ก : :M)ก/):O0:</4&25'?01@ก.
Barabasi, A.L. 2002. Linked The New Science of
Networks. Cambridge Massachusetts:
Perseus publishing.
Boissevain , J. 1974. Friend of Friend : Networks,
Manipulators and Coalitions. (pp. 28-44). Oxford :
Basil Blackweel.
Borgatti, S.P. and Foster P.C. 2003. The Network Paradigm
in Organizational Research: Review and Typology.
Journal of management, 29(6) , 991-1031.
Bonacich, P. 1972. Technique for analyzing overlapping
memberships. in Costner, H. (ed.),
Sociological Methodology, 1972. San Francisco :
Jossey- Bass.
Bonacich, P. 1987. Power and centrality : A family of
measures. American Journal of Sociology. 92,
1170-1180.
Freeman, L.C. 1979. Centrality in social networks :
Conceptual clarification. Social Networks,
1 , 215-239.
Friendkin. N.E. 1991. Theoretical Foundations for
centrality measures. American Journal of
Sociolology, 96(6). 478-1504.
Kapferer, B. 1972. Strategy and Transaction in an
African Factory. Manchester : Manchester
University Press.
Knoke, D. And Burt, R.S. 1983. Prominence. In Burt,
R.S. and Minor, M.J. (eds), Applied
Network Analysis. Newbury Park, CA:Sage.
Kilduff M., Tsai W. 2003. Social Networks and
Organizations. London : SAGE.
Moody, J. 2004. The Structure of a social science
collaboration network:Disciplinary cohesion
from 1963 to 1999. American Sociological
review, 69,213-238.
Scott, J. 2000. Social Network Analysis. A Hand
book. (3rd Ed.) London : SAGE.
Uzzi, B. 1997. Social structure and competition in
interfirm network:The paradox of
embeddedness. Administrative Science
Quarterly, 42, 35-67.
Wasserman, S. , Stanley and Faust, K. 1999. Social Network
Analysis : Method and Applications. (3rd ed.)
Cambridge : Cambridge University Press. p.17 20,43.