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Innovativeness, Social Network and the Adoption of Statistical Innovations: The Diffusion of Event History Analysis in Sociology

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Abstract:

A major appeal of diffusion studies is that it provides rich evidences of how social structural mechanisms affect the trajectory in which an innovation is communicated and spread within a population. However, this very appeal may have caused sociologists to over-emphasize the effect of social structure upon innovative behavior. Particularly, in the area of sociology of science, question arises as to what extent scientists are subject to the “invisible college” influences. Have we, in our break from the mid-century functionalists’ deferential view of science, under-estimated intellectual freedom and individual innovativeness in scientific research? After all, as an institution established for the purpose of generating new ideas and extending man’s knowledge, science has gathered probably the most creative individuals in our society.
In this project proposal, we seek to find a framework that attends to the effect of both individual and social structural level factors in shaping scientists’ behavior. The case we have chosen is the diffusion of event history analysis in sociology. Using bibliometric data from all ISI-indexed sociological journals between 1950 and 2002, we measure a scientist’s innovative propensity by her niche in the knowledge space of sociology and construct various measures of the network ties. Proportional Hazard Model is used to analyze how individual and social structural level factors jointly affect a sociologist’s propensity to adopt the new statistical technique.

Most Common Document Word Stems:

scientist (99), innov (69), adopt (68), social (49), research (48), sociolog (47), structur (46), sociologist (40), time (40), tie (39), use (39), measur (36), effect (36), scienc (35), individu (30), influenc (30), focal (29), diffus (29), data (25), journal (25), studi (24),

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Diffusion, Network, Sociology of Science, Sociology of Knowledge
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Name: American Sociological Association
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http://www.asanet.org


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MLA Citation:

Ding, Waverly. and Lin, Fen. "Innovativeness, Social Network and the Adoption of Statistical Innovations: The Diffusion of Event History Analysis in Sociology" Paper presented at the annual meeting of the American Sociological Association, Atlanta Hilton Hotel, Atlanta, GA, Aug 16, 2003 <Not Available>. 2009-05-26 <http://www.allacademic.com/meta/p106727_index.html>

APA Citation:

Ding, W. W. and Lin, F. , 2003-08-16 "Innovativeness, Social Network and the Adoption of Statistical Innovations: The Diffusion of Event History Analysis in Sociology" Paper presented at the annual meeting of the American Sociological Association, Atlanta Hilton Hotel, Atlanta, GA Online <.PDF>. 2009-05-26 from http://www.allacademic.com/meta/p106727_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: A major appeal of diffusion studies is that it provides rich evidences of how social structural mechanisms affect the trajectory in which an innovation is communicated and spread within a population. However, this very appeal may have caused sociologists to over-emphasize the effect of social structure upon innovative behavior. Particularly, in the area of sociology of science, question arises as to what extent scientists are subject to the “invisible college” influences. Have we, in our break from the mid-century functionalists’ deferential view of science, under-estimated intellectual freedom and individual innovativeness in scientific research? After all, as an institution established for the purpose of generating new ideas and extending man’s knowledge, science has gathered probably the most creative individuals in our society.
In this project proposal, we seek to find a framework that attends to the effect of both individual and social structural level factors in shaping scientists’ behavior. The case we have chosen is the diffusion of event history analysis in sociology. Using bibliometric data from all ISI-indexed sociological journals between 1950 and 2002, we measure a scientist’s innovative propensity by her niche in the knowledge space of sociology and construct various measures of the network ties. Proportional Hazard Model is used to analyze how individual and social structural level factors jointly affect a sociologist’s propensity to adopt the new statistical technique.

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Document Type: .PDF
Page count: 20
Word count: 6594
Text sample:
Innovativeness Social Network and the Adoption of Statistical Innovations: The Diffusion of Event History Analysis in Sociology A major appeal of diffusion studies is that it provides rich evidences of how social structural mechanisms affect the trajectory in which an innovation is communicated and spread within a population (Strang 1998). However this very appeal may have caused sociologists to over-emphasize the effect of social structure upon innovative behavior. Particularly in the area of sociology of science question arises as
Movement: From Hybrid Corn to Poison Pills." Annual Review of Sociology 24:265-90. Stuart Toby E. Ha Hoang and Ralph C. Hybels. 1999. "Interorganizational Endorsements and the Performance of Entrepreneurial Ventures." Administrative Science Quarterly 44:315- 349. 19 Tolbert Pamela S. and Lynn G. Zucker. 1983. "Institutional Sources of Change in the Formal Structure of Organizations: The Diffusion of Civil Service Reform 1880-1935." Administrative Science Quarterly 28:22-39. Tuma Nancy Brandon. 1976. "Rewards Resources and the Rate of Mobility: A Nonstationary Multivariate


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Innovativeness, Social Network and the Adoption of Statistical Innovations: The Diffusion of Event History Analysis in Sociology


 
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