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IEEE Transactions on Network Science and Engineering

Issue 1 • Jan.-March 1 2017

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Displaying Results 1 - 7 of 7
  • Analysis of Centrality in Sublinear Preferential Attachment Trees via the Crump-Mode-Jagers Branching Process

    Publication Year: 2017, Page(s):1 - 12
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (362 KB) | HTML iconHTML

    We investigate centrality and root-inference properties in a class of growing random graphs known as sublinear preferential attachment trees. We show that a continuous time branching processes called the Crump-Mode-Jagers (CMJ) branching process is well-suited to analyze such random trees, and prove that almost surely, a unique terminal tree centroid emerges, having the property that it becomes mo... View full abstract»

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  • Community Detection and Classification in Hierarchical Stochastic Blockmodels

    Publication Year: 2017, Page(s):13 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (611 KB) | HTML iconHTML Multimedia Media

    In disciplines as diverse as social network analysis and neuroscience, many large graphs are believed to be composed of loosely connected smaller graph primitives, whose structure is more amenable to analysis We propose a robust, scalable, integrated methodology for community detection and community comparison in graphs. In our procedure, we first embed a graph into an appropriate Euclidean space ... View full abstract»

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  • Confidence Sets for the Source of a Diffusion in Regular Trees

    Publication Year: 2017, Page(s):27 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (521 KB) | HTML iconHTML

    We study the problem of identifying the source of a diffusion spreading over a regular tree. When the degree of each node is at least three, we show that it is possible to construct confidence sets for the diffusion source with size independent of the number of infected nodes. Our estimators are motivated by analogous results in the literature concerning identification of the root node in preferen... View full abstract»

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  • Distributed and Robust Fair Optimization Applied to Virus Diffusion Control

    Publication Year: 2017, Page(s):41 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2325 KB) | HTML iconHTML

    This paper proposes three novel nonlinear, continuous-time, distributed algorithms to solve a class of fair resource allocation problems, which allow an interconnected group of operators to collectively minimize a global cost function subject to equality and inequality constraints. The proposed algorithms are designed to be robust so that temporary errors in communication or computation do not cha... View full abstract»

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  • On the Emergence of Shortest Paths by Reinforced Random Walks

    Publication Year: 2017, Page(s):55 - 69
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (897 KB) | HTML iconHTML Multimedia Media

    The co-evolution between network structure and functional performance is a fundamental and challenging problem whose complexity emerges from the intrinsic interdependent nature of structure and function. Within this context, we investigate the interplay between the efficiency of network navigation (i.e., path lengths) and network structure (i.e., edge weights). We propose a simple and tractable mo... View full abstract»

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  • 2016 Reviewers List*

    Publication Year: 2017, Page(s):70 - 71
    Request permission for commercial reuse | PDF file iconPDF (26 KB)
    Freely Available from IEEE
  • 2016 Index IEEE Transactions on Network Science and Engineering Vol. 3

    Publication Year: 2017, Page(s):1 - 5
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    Freely Available from IEEE

Aims & Scope

The IEEE Transactions on Network Science and Engineering is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level.

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Meet Our Editors

Editor-in-Chief
Dapeng Oliver Wu

University of Florida

Dept. of Electrical  &  Computer Engineering

P. O. Box 116130

Gainesville, FL 32611

Email: dpwu@ufl.edu