Title
Community Recovery in a Preferential Attachment Graph
Abstract
A message passing algorithm is derived for recovering communities within a graph generated by a variation of the Barabási-Albert preferential attachment model. The estimator is assumed to know the arrival times, or order of attachment, of the vertices. The derivation of the algorithm is based on belief propagation under an independence assumption. Two precursors to the message passing algorithm ar...
Year
DOI
Venue
2019
10.1109/TIT.2019.2927624
IEEE Transactions on Information Theory
Keywords
Field
DocType
Message passing,Stochastic processes,Inference algorithms,Clustering algorithms,Belief propagation,Simulation,Task analysis
Discrete mathematics,Graph,Mathematical optimization,Vertex (geometry),Thresholding,Statistical assumption,Message passing,Preferential attachment,Mathematics,Estimator,Belief propagation
Journal
Volume
Issue
ISSN
65
11
0018-9448
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Bruce Hajek115417.84
Suryanarayana Sankagiri200.34