Complexity / 2020 / Article / Tab 1

Research Article

A Unified Bayesian Model for Generalized Community Detection in Attribute Networks

Table 1



Observed quantitiesAdjacency matrix
Attribute matrix
Number of communities and topics

Latent quantitiesCommunity assignment of node
Topic labels of the node ’s -th attribute

Model parametersThe fraction of nodes in community
The probability that a certain node in community connects to node
The probability that node is in the -th content cluster given that the community label is
The probability that the -th topic generates -th attributes of node

Hyperparameters, , , Acting as noninformation prior of corresponding model parameters with prior distribution

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