Regression of directed graphs on independent effects for density and reciprocity
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| Publication date | 2017 |
| Journal | Journal of Mathematical Sociology |
| Volume | Issue number | 41 | 4 |
| Pages (from-to) | 185-192 |
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| Abstract | In common models for dyadic network regression, the density and reciprocity parameters are dependent on each other. Here, the j1 and j2 models are introduced with a density parameter that represents the log odds of a single tie. Consequently, the density and reciprocity parameters are independent and the interpretation of both parameters more straightforward. Estimation procedures and simulation results for these new models are discussed as well as an illustrative example. |
| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1080/0022250X.2017.1387858 |
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Regression of directed graphs on independent effects for density and reciprocity
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