IEEE Transactions on Network Science and Engineering

Issue 1 • Jan.-March 2015

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Displaying Results 1 - 5 of 5
  • 2014 Index IEEE Transactions on Network Science and Engineering Vol. 1

    Publication Year: 2015, Page(s):1 - 3
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    Freely Available from IEEE
  • Algorithmic Renormalization for Network Dynamics

    Publication Year: 2015, Page(s):1 - 16
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (461 KB) | HTML iconHTML

    The aim of this work is to give a full, elementary exposition of a recently introduced algorithmic technique for renormalizing dynamic networks. The motivation is the analysis of time-varying graphs. We begin by showing how an arbitrary sequence of graphs over a fixed set of nodes can be parsed so as to capture hierarchically how information propagates across the nodes. Equipped with parse trees, ... View full abstract»

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  • Bi-Virus SIS Epidemics over Networks: Qualitative Analysis

    Publication Year: 2015, Page(s):17 - 29
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (499 KB) | HTML iconHTML

    The paper studies the qualitative behavior of a set of ordinary differential equations (ODE) that models the dynamics of bi-virus epidemics over bilayer networks. Each layer is a weighted digraph associated with a strain of virus; the weights gzίrepresent the rates of infection from node i to node j of strain z. We establish a sufficient condition on the g's that guarantees survival... View full abstract»

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  • On the Influence of the Seed Graph in the Preferential Attachment Model

    Publication Year: 2015, Page(s):30 - 39
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    We study the influence of the seed graph in the preferential attachment model, focusing on the case of trees. We first show that the seed has no effect from a weak local limit point of view. On the other hand, we conjecture that different seeds lead to different distributions of limiting trees from a total variation point of view. We take a first step in proving this conjecture by showing that see... View full abstract»

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  • The Attention Automaton: Sensing Collective User Interests in Social Network Communities

    Publication Year: 2015, Page(s):40 - 52
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (883 KB) | HTML iconHTML

    The vast quantity of information shared in social networks has brought us to an age of attention scarcity, where getting users to be attentive to a message is not a given. In fact, it has become the limiting factor in the consumption of information by end users. Understanding what captures the collective attention within a community of users in a social network is invaluable to many applications, ... View full abstract»

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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