Proc Natl Acad Sci U S A
Yale Institute for Network Science, Yale University, 06511 New Haven, CT.
Published: June 2024
Negative or antagonistic relationships are common in human social networks, but they are less often studied than positive or friendly relationships. The existence of a capacity to have and to track antagonistic ties raises the possibility that they may serve a useful function in human groups. Here, we analyze empirical data gathered from 24,770 and 22,513 individuals in 176 rural villages in Honduras in two survey waves 2.5 y apart in order to evaluate the possible relevance of antagonistic relationships for broader network phenomena. We find that the small-world effect is more significant in a positive world with negative ties compared to an otherwise similar hypothetical positive world without them. Additionally, we observe that nodes with more negative ties tend to be located near network bridges, with lower clustering coefficients, higher betweenness centralities, and shorter average distances to other nodes in the network. Positive connections tend to have a more localized distribution, while negative connections are more globally dispersed within the networks. Analysis of the possible impact of such negative ties on dynamic processes reveals that, remarkably, negative connections can facilitate the dissemination of information (including novel information experimentally introduced into these villages) to the same degree as positive connections, and that they can also play a role in mitigating idea polarization within village networks. Antagonistic ties hold considerable importance in shaping the structure and function of social networks.
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http://dx.doi.org/10.1073/pnas.2401257121 | DOI Listing |
Proc Natl Acad Sci U S A
June 2024
Yale Institute for Network Science, Yale University, 06511 New Haven, CT.
Negative or antagonistic relationships are common in human social networks, but they are less often studied than positive or friendly relationships. The existence of a capacity to have and to track antagonistic ties raises the possibility that they may serve a useful function in human groups. Here, we analyze empirical data gathered from 24,770 and 22,513 individuals in 176 rural villages in Honduras in two survey waves 2.
View Article and Find Full Text PDFSci Rep
November 2023
Yale Institute for Network Science, Yale University, New Haven, CT, 06511, USA.
The "friendship paradox" of social networks states that, on average, "your friends have more friends than you do". Here, we theoretically and empirically explore a related and overlooked paradox we refer to as the "enmity paradox". We use empirical data from 24,678 people living in 176 villages in rural Honduras.
View Article and Find Full Text PDFThe "Dark" Triad (DT) refers to three personality constructs with ties to socially aversive behaviors: psychopathy, narcissism, and Machiavellianism. These constructs are commonly assessed via omnibus self-report inventories such as the Short Dark Triad (SD3) or the Dirty Dozen. Alternatively, researchers wishing to measure "dark" traits can compile stand-alone measures of each construct.
View Article and Find Full Text PDFJ Pers
December 2022
Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
In clinical psychopathology research, up to seven traits have been suggested as instances of antagonistic psychopathology. Those antagonistic traits, in turn, are commonly viewed as reflections of low Agreeableness as per the Big Five (BF-AG). However, specific theoretical differences between antagonistic traits suggest that other broad, basic dimensions beyond BF-AG ought to provide further points of correspondence.
View Article and Find Full Text PDFJMIR Cancer
October 2021
Department of Information Sciences and Medical Informatics, Kerman University of Medical Sciences, Kerman, Iran.
Background: One of the requirements for scientists and researchers to enter any field of science is to have a comprehensive and accurate understanding of that discipline.
Objective: This study aims to draw a science map, provide structural analysis, explore the evolution, and determine new trends in research articles published in the field of breast cancer.
Methods: This study comprised a descriptive survey with a scientometric approach.
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