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Bayesian Ego Network Analysis/Evidence
Method evidence record

Bayesian Ego Network Analysis

Bayesian ego network analysis applies probabilistic inference to ego-centered (personal) network data, combining a likelihood model for the ego's local network with prior distributions over network parameters. The result is a full posterior distribution that quantifies uncertainty about structural features such as alter composition, tie density, and network size — rather than producing point estimates alone.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Ego Network Analysis (Probabilistic Inference on Personal Networks)
Taxonomic method record · ml-model / network-analysis
  • Krivitsky, P. N., & Kolaczyk, E. D. (2015). On the question of effective sample size in network modeling: An asymptotic inquiry. Statistical Science, 30(2), 184–198. · DOI 10.1214/14-STS502
  • Ego network. Wikipedia. · URL
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Related methods

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Taxonomic bucketBayesian Exponential Random Graph Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Social Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian Stochastic Block Modelmachine-suggested · Relational suggestion, not evidence.Used in the same domainEgo Network Analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSocial Network Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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