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Data Visualization and Sociology

Authors: Kefei Wang;

Data Visualization and Sociology

Abstract

Sociology, the study of human society, has developed in the modern era of data flood to embrace the cutting-edge tools and methodology of data visualization. The purpose of this essay is to explore the crucial part that data visualization plays in the discipline of sociology. It offers perceptions into how visualization methods improve the interpretation, communication, and comprehension of social phenomena, data patterns, and behavioral patterns. The three main ways that visualization has benefited sociology will be examined in this essay: through improving comprehension, promoting public participation, and assisting in policy development.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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