Author's Keywords: social, influence, network, theory, status, characteristics, probabilistic, decision, mathematical, linear, error	Convention Submission, Review, and Scheduling! All Academic Convention can help with all of your abstract management needs and many more. Contact us today for a quote! Submission - Custom fields, multiple submission types, tracks, audio visual, multiple upload formats, automatic conversion to pdf. Review - Peer Review, Bulk reviewer assignment, bulk emails, ranking, z-score statistics, and multiple worksheets! Reports - Many standard and custom reports generated while you wait. Print programs with participant indexes, event grids, and more! Scheduling - Flexible and convenient grid scheduling within rooms and buildings. Conflict checking and advanced filtering. Communication - Bulk email tools to help your administrators send reminders and responses. Use form letters, a message center, and much more! Management - Search tools, duplicate people management, editing tools, submission transfers, many tools to manage a variety of conference management headaches! Click here for more information.
Association: Name: American Sociological Association URL: http://www.asanet.org
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Hollander, James. "Reformulating a Link Between Social Influence Network Theory and Status Characteristics Theory" Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA, Aug 12, 2005 <Not Available>. 2008-10-23 <http://www.allacademic.com/meta/p20187_index.html>

Hollander, J. F. , 2005-08-12 "Reformulating a Link Between Social Influence Network Theory and Status Characteristics Theory" Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA Online <PDF>. 2008-10-23 from http://www.allacademic.com/meta/p20187_index.html

Publication Type: Conference Paper/Unpublished Manuscript Abstract: A feedback model in Social Influence Network Theory (SINT) models each subject-agent i by a summing element followed by an integrator to produce a non-parametrically specified probabilistic output y(t) at time t, followed by a random number generator of binary decisions (Di = +1 or �1). Each agent-model interconnects with the others by a weight matrix w. For a whole social network, a matrix product wD delivers social influences. Initial value vector y(1) in this model is exogenously exerted on decision-maker. The feedback agent-model provides a probabilistic influence process among social agents. The probability p(Di = +1) in SCT that the subject initially perceives an ambiguous object in a given one of two possible ways is designated x herein. Stay probability Ps(x) is the probability that SCT subject stays with that given one way in the face of disagreement on a second round, so p(Di = +1) = xPs(x) on the second round. A cumulative probability p distribution C(p) of the error occurs in the in the model, where p=xPs(x). The difference of inverses C-1(1-xPs(x)) - C-1(1-x) from a data set in SCT correspond to weights w in SINT. The inverse C-1(1-x) vanishes when x=0.5. The inverses C-1(1-xPs(x)) for Two-Other (Ternary) data were regressed according the inverses for One-Other (Binary) data. The regression slope closely approximated the theoretical value of 2.0 provided the error distribution was Gaussian and failed if logistic.

Sinking the Boat to Save the Social: Networks as Paradigm, Not (Just) Variable, Theory or Method

Linking Status Characteristics Theory with Social Influence Network Theory: Where the Weights Come From

Social Influence Network Theory: Diffusion of Attitudes leading to Behavior