2026-09-19T16:19:50Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/552642022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Alex (Sandy) Pentland.
Mulanda, Chilongo D
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2010-05-25T21:12:12Z
2010-05-25T21:12:12Z
2006
2006
http://hdl.handle.net/1721.1/55264
613206096
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 57-58).
In this thesis, we investigated how sociometric information can be used to improve different methods of aggregating dispersed information. We specifically compared four different approaches of information aggregation: vanilla opinion poll, opinion polls where sociometric data is inferred from the population's own perception of social connectivity, opinion polls where sociometric data is obtained independent of the populations beliefs and data aggregation using market mechanisms. On comparing the entropy of the error of between the prediction of each of these different methods with the truth, preliminary results suggest that sociometric data does indeed improve the enterprise of information aggregation. The results also raise interesting questions about the relevance and application of different kinds of sociometric data as well as the somewhat surprising efficiency of information market mechanisms.
by Chilongo D. Mulanda.
M.Eng.
58 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Social network effects on information aggregation
Thesis
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Publication
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