andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-378 knowledge-graph by maker-knowledge-mining
Source: html
Introduction: Jaidev Deshpande writes: The World Economic Forum recently posed a data visualization problem . The dataset is a survey of experts from the so called “Agenda Councils” of the WEF. Here are the details . The dataset primarily contains the experts’ opinions on which global / regional / industrial agenda council of the WEF they would benefit from by interacting with the most. It occurs to me that this dataset can be thought of as an instance of a social networking dynamics, in that it represents the preferences of individuals towards belonging or not belonging to a particular group within the network. It is these ‘groups’ that must be identified to solve the problem. Under what conditions would this hypothesis be valid? I have a hunch that dimensionality reduction will not necessarily help me visualize this data satisfactorily. They also need to be complemented by the way social networks detect cliques amongst their members. The prize is $3000 plus bragging rights, and submiss
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1 Jaidev Deshpande writes: The World Economic Forum recently posed a data visualization problem . [sent-1, score-0.239]
2 The dataset is a survey of experts from the so called “Agenda Councils” of the WEF. [sent-2, score-0.533]
3 The dataset primarily contains the experts’ opinions on which global / regional / industrial agenda council of the WEF they would benefit from by interacting with the most. [sent-4, score-1.666]
4 It occurs to me that this dataset can be thought of as an instance of a social networking dynamics, in that it represents the preferences of individuals towards belonging or not belonging to a particular group within the network. [sent-5, score-1.994]
5 It is these ‘groups’ that must be identified to solve the problem. [sent-6, score-0.19]
6 I have a hunch that dimensionality reduction will not necessarily help me visualize this data satisfactorily. [sent-8, score-0.669]
7 They also need to be complemented by the way social networks detect cliques amongst their members. [sent-9, score-0.483]
8 The prize is $3000 plus bragging rights, and submissions are due 15 Nov. [sent-10, score-0.618]
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Introduction: Jaidev Deshpande writes: The World Economic Forum recently posed a data visualization problem . The dataset is a survey of experts from the so called “Agenda Councils” of the WEF. Here are the details . The dataset primarily contains the experts’ opinions on which global / regional / industrial agenda council of the WEF they would benefit from by interacting with the most. It occurs to me that this dataset can be thought of as an instance of a social networking dynamics, in that it represents the preferences of individuals towards belonging or not belonging to a particular group within the network. It is these ‘groups’ that must be identified to solve the problem. Under what conditions would this hypothesis be valid? I have a hunch that dimensionality reduction will not necessarily help me visualize this data satisfactorily. They also need to be complemented by the way social networks detect cliques amongst their members. The prize is $3000 plus bragging rights, and submiss
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