IEEE Transactions on Network Science and Engineering
TNSE Seeks Editor-in-Chief for 2017-2018 Term
The IEEE Computer Society, IEEE Communications Society, and IEEE Circuits and Systems Society seek applicants for the position of editor-in-chief of the IEEE Transactions on Network Science and Engineering, serving a two-year term starting 1 January 2017. Prospective candidates are asked to provide a complete curriculum vitae, a brief plan for the publication's future, and a letter of support from their institution or employer (as PDF files) by 31 August 2016. For more information on the search process and to submit application materials, click here or please contact: Kimberly Sperka, firstname.lastname@example.org.
IEEE Transactions on Network Science and Engineering (TNSE) is now accepting manuscript submissions. To submit your manuscript, please use the ScholarOne Manuscripts manuscript submission site. Read the full scope of TNSE
From the April-June 2016 issue
Clustering Network Layers with the Strata Multilayer Stochastic Block Model
By Natalie Stanley, Saray Shai, Dane Taylor, and Peter J. Mucha
Multilayer networks are a useful data structure for simultaneously capturing multiple types of relationships between a set of nodes. In such networks, each relational definition gives rise to a layer. While each layer provides its own set of information, community structure across layers can be collectively utilized to discover and quantify underlying relational patterns between nodes. To concisely extract information from a multilayer network, we propose to identify and combine sets of layers with meaningful similarities in community structure. In this paper, we describe the "strata multilayer stochastic block model" (sMLSBM), a probabilistic model for multilayer community structure. The central extension of the model is that there exist groups of layers, called "strata", which are defined such that all layers in a given stratum have community structure described by a common stochastic block model (SBM). That is, layers in a stratum exhibit similar node-to-community assignments and SBM probability parameters. Fitting the sMLSBM to a multilayer network provides a joint clustering that yields node-to-community and layer-to-stratum assignments, which cooperatively aid one another during inference. We describe an algorithm for separating layers into their appropriate strata and an inference technique for estimating the SBM parameters for each stratum. We demonstrate our method using synthetic networks and a multilayer network inferred from data collected in the Human Microbiome Project.
Editorials and Announcements
- We are pleased to announce that Ali Jadbabaie, a professor at University of Pennsylvania, Philadephia, has been appointed as the inaugural EIC for the IEEE Transactions on Network Science and Engineering, effective immediately.
- EIC Editorial (Jan-March 2016)
- IEEE Transactions on Network Science and Engineering (Jan-June 2014)
- IEEE TNSE Inaugural Issue Editorial (Jan-June 2014)
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