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Peter Killworth
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#	Item
11	PII: 0049-089X Add to Reading List Source URL: nersp.nerdc.ufl.edu Language: English - Date: 2013-06-29 14:55:16 Oceanography Fisheries science Peter Killworth Scripps Institution of Oceanography Research vessel
12	Comparing two methods for estimating network size Christopher McCarty; Peter D Killworth; H Russell Bernard; Eugene C Johnsen; ... Human Organization; Spring 2001; 60, 1; ABI/INFORM Global pg. 28 Reproduced with permiss Add to Reading List Source URL: nersp.nerdc.ufl.edu Language: English - Date: 2004-12-07 17:26:21 Copyright Data management Intellectual property law Monopoly
13	Social Networks–96 The accuracy of small world chains in social networks Peter D. Killworth a,∗ , Christopher McCarty b , H. Russell Bernard c , Mark House b Add to Reading List Source URL: nersp.nerdc.ufl.edu Language: English - Date: 2007-02-01 12:43:34 Network theory Networks Graph theory Edsger W. Dijkstra Shortest path problem Small-world network Peter Killworth Markov chain Conceptual model Path
14	Abstract A new sociometric technique is described which is generally more powerful than prior methods for analyzing the structure of bounded human groups less than about 150 in size. The method is applied to a female co Add to Reading List Source URL: nersp.nerdc.ufl.edu Language: English - Date: 2013-06-23 15:05:29 Matrices Bioinformatics Graph drawing Organizational theory Sociogram Sociometry Matrix Peter Killworth Distance matrix
15	The rewritten part referencing people affected directly (aka paragraph 1) Add to Reading List Source URL: www.insna.org Language: English - Date: 2014-09-27 18:37:10 McCarty Peter Killworth Science Social networks International Network for Social Network Analysis Small world experiment
16	Social Networks[removed]–96 The accuracy of small world chains in social networks Peter D. Killworth a,∗ , Christopher McCarty b , H. Russell Bernard c , Mark House b Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2011-11-19 02:38:46 Network theory Networks Shortest path problem Small-world network Markov chain Path Graph theory Mathematics Theoretical computer science
17	Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Conclusions Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2005-04-02 17:32:49 Andrew Gelman Polarization Peter Killworth Statistics Economic inequality Information Science Data
18	Overview Background: how many people do you know? A model of overdispersion in social networks Fitting the model using the Gibbs/Metropolis sampler Results from fitting the model Confidence building Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2004-08-10 09:21:53 Econometrics Andrew Gelman Bayesian inference Overdispersion Confidence interval Peter Killworth Statistics Statistical inference Bayesian statistics
19	Overview Social and political polarization Background: how many people do you know? Learning from “How many X’s do you know” surveys Next Add to Reading List Source URL: www.stat.columbia.edu Language: English - Date: 2007-05-26 18:59:41 Andrew Gelman Peter Killworth Economic inequality Statistics Physics British people Broadcast engineering Electromagnetic radiation Polarization
20	Comparing two methods for estimating network size Christopher McCarty; Peter D Killworth; H Russell Bernard; Eugene C Johnsen; ... Human Organization; Spring 2001; 60, 1; ABI/INFORM Global Add to Reading List Source URL: www.bebr.ufl.edu Language: English - Date: 2011-10-18 18:34:47 Law Crown copyright Information Copyright law of the United States Copyright