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Cultural Consensus Theory on Network...

Agrawal, Kalin Alak.

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Cultural Consensus Theory on Network Structures.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cultural Consensus Theory on Network Structures./
Author:	Agrawal, Kalin Alak.
Description:	189 p.
Notes:	Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
Contained By:	Dissertation Abstracts International77-03B(E).
Subject:	Quantitative psychology. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3734460
ISBN:	9781339230528

Cultural Consensus Theory on Network Structures.
Agrawal, Kalin Alak.

Cultural Consensus Theory on Network Structures. - 189 p.

Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.

Thesis (Ph.D.)--University of California, Irvine, 2015.

Cultural Consensus Theory (CCT) consists of cognitive models for aggregating the responses of informants to test items about some domain of their shared cultural knowledge. This paper proposes variants of CCT for pooling undirected, signed graphs collected from error-prone and biased informants. Informants provide dichotomous 'plus' or 'minus' responses to judgments on all possible ties among a fixed set of named nodes. The primary goal is to achieve a single pooled signed graph that better reflects the "wisdom of the crowd" for small datasets than simple marginal averaging of responses.

ISBN: 9781339230528Subjects--Topical Terms:

2144748
Quantitative psychology.

Cultural Consensus Theory on Network Structures.
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020 $a 9781339230528
035 $a (MiAaPQ)AAI3734460
035 $a AAI3734460
040 $a MiAaPQ $c MiAaPQ
100 1 $a Agrawal, Kalin Alak. $3 3191883
245 1 0 $a Cultural Consensus Theory on Network Structures.
300 $a 189 p.
500 $a Source: Dissertation Abstracts International, Volume: 77-03(E), Section: B.
500 $a Adviser: William H. Batchelder.
502 $a Thesis (Ph.D.)--University of California, Irvine, 2015.
520 $a Cultural Consensus Theory (CCT) consists of cognitive models for aggregating the responses of informants to test items about some domain of their shared cultural knowledge. This paper proposes variants of CCT for pooling undirected, signed graphs collected from error-prone and biased informants. Informants provide dichotomous 'plus' or 'minus' responses to judgments on all possible ties among a fixed set of named nodes. The primary goal is to achieve a single pooled signed graph that better reflects the "wisdom of the crowd" for small datasets than simple marginal averaging of responses.
520 $a These models break the typical CCT assumption of conditional independence of question items in two ways. First, the models attribute the quality of a response to properties of the pair of nodes in question. Both continuous and discrete nodal properties add dependencies between responses by the same informant. Second, a hard constraint on the aggregate graph imposes dependencies among the values of the aggregate graph ties.
520 $a We show that graph elicitations of different kinds warrant the use of new CCT models and that the models discussed here illuminate aspects of the underlying graph structure that are otherwise hidden using standard CCT methods.
520 $a A large component of the work involves novel estimation algorithms that operate under hard constraints on discrete parameters, something that has not been done before with CCT. Question ordering for undirected graphs and an incomplete design are discussed as well as possible extensions and related work.
590 $a School code: 0030.
650 4 $a Quantitative psychology. $3 2144748
650 4 $a Cognitive psychology. $3 523881
690 $a 0632
690 $a 0633
710 2 $a University of California, Irvine. $b Social Science. $3 3191884
773 0 $t Dissertation Abstracts International $g 77-03B(E).
790 $a 0030
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3734460