A Unified Bayesian Model for Generalized Community Detection in Attribute Networks

Table 1

Notations.

Type	Symbol	Description
Observed quantities		Adjacency matrix
		Attribute matrix
		Number of communities and topics
Latent quantities		Community assignment of node
		Topic labels of the node ’s -th attribute
Model parameters		The 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