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Causality in social network analysis
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DOI：10.1177/0049124101030001005.png)
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Abstract
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The role that causality can play in social network analysis is unclear The author provides a broad characterization of social network analysis before considering the nature of causality. He distinguishes four types of causality: system causality, statistical causality, mechanism causality and algorithmic causality Their potential places in network analysis are discussed Understanding generative mechanisms-be they system, mechanism, or algorithmic-seems the most promising way to proceed. The role of statistical causality is a source of potential data analytic tools that can be mobilized within analyses conducted in the spirit of the other three types of causality.
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