Modeling information equality : social and media latency effects on information diffusion
In this study, we build and test a stochastic, agent-based model of information diffusion, called dFusion. The model incorporates diffusion research and social network analysis into a framework that is consistent with the findings of digital divide and knowledge gap research. Using three separate...
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| Main Authors: | , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
2013
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/100893 http://hdl.handle.net/10220/18216 http://ijoc.org/index.php/ijoc/article/view/24 |
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| 總結: | In this study, we build and test a stochastic, agent-based model of information diffusion,
called dFusion. The model incorporates diffusion research and social network analysis
into a framework that is consistent with the findings of digital divide and knowledge gap
research. Using three separate real-world datasets, our model demonstrates clear causal
relationships between social structure, communication network structure, and the
degree of "information equality" (relatively equivalent speed of access to salient
information) within a given social network. By focusing on differential, rather than absolute, speed of access to information, we hope to create an evaluative framework for information technology investment that accurately and comprehensively predicts the effects of such interventions on social equality. |
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