File:Voting-contagion-Modeling-and-analysis-of-a-century-of-U.S.-presidential-elections-pone.0177970.s001.ogv
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[edit]DescriptionVoting-contagion-Modeling-and-analysis-of-a-century-of-U.S.-presidential-elections-pone.0177970.s001.ogv |
English: Hotspots of social contagion: 92 years of presidential elections. S1 Movie shows colored maps that reflect the significance (p-value) of local concentration of social influence for each state. The p-values for each state are derived from a random permutation test of local clustering using the Getis-Ord Local Gi* statistic. This analysis was performed with a contiguity spatial weight matrix that indicates whether states share a boundary or not. The variable of concern is the social influence index calculated using Eq 7 in the main text. Low p-values (p-value≤0.1) indicate statistically significant high levels of social influence at a state and its surrounding neighbors (hot spots). High p-values (p-value≥0.9) indicate statistically significant low levels of social influence at a state and its surrounding neighbors (cold spots). |
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Source | S1 Movie from Braha D, de Aguiar M (2017). "Voting contagion: Modeling and analysis of a century of U.S. presidential elections". PLOS ONE. DOI:10.1371/journal.pone.0177970. PMID 28542409. PMC: 5436881. | ||
Author | Braha D, de Aguiar M | ||
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![]() ![]() This file is licensed under the Creative Commons Attribution 4.0 International license.
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current | 20:03, 7 June 2017 | 53 s, 1,920 × 1,080 (3.72 MB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
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Short title | Hotspots of social contagion: 92 years of presidential elections. |
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Usage terms | http://creativecommons.org/licenses/by/4.0/ |
Image title | S1 Movie shows colored maps that reflect the significance (p-value) of local concentration of social influence for each state. The p-values for each state are derived from a random permutation test of local clustering using the Getis-Ord Local Gi* statistic. This analysis was performed with a contiguity spatial weight matrix that indicates whether states share a boundary or not. The variable of concern is the social influence index calculated using Eq 7 in the main text. Low p-values (p-value≤0.1) indicate statistically significant high levels of social influence at a state and its surrounding neighbors (hot spots). High p-values (p-value≥0.9) indicate statistically significant low levels of social influence at a state and its surrounding neighbors (cold spots). |
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Language | English |
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18 May 2017
3,905,082 byte
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Categories:
- Videos of social psychology
- Social influence
- Videos of social sciences
- Videos of political science
- Videos of discrete mathematics
- Videos of statistical methods
- Test statistics
- Network analysis
- Videos of social networks
- Collective human behavior
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