IEEE Transactions on Network Science and Engineering

Issue 1 • Jan.-March 1 2016

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Displaying Results 1 - 8 of 8
  • EIC Editorial

    Publication Year: 2016, Page(s): 1
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  • A Mathematical Theory for Clustering in Metric Spaces

    Publication Year: 2016, Page(s):2 - 16
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (593 KB) | HTML iconHTML Multimedia Media

    Clustering is one of the most fundamental problems in data analysis and it has been studied extensively in the literature. Though many clustering algorithms have been proposed, clustering theories that justify the use of these clustering algorithms are still unsatisfactory. In particular, one of the fundamental challenges is to address the following question: What is a cluster in a set of data poi... View full abstract»

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  • Detecting Multiple Information Sources in Networks under the SIR Model

    Publication Year: 2016, Page(s):17 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (981 KB) | HTML iconHTML

    In this paper, we study the problem of detecting multiple information sources in networks under the Susceptible-Infected-Recovered (SIR) model. First, assuming the number of information sources is known, we develop a sample-path-based algorithm, named clustering and localization, for trees. For $g$ View full abstract»

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  • On the Interplay Between Individuals’ Evolving Interaction Patterns and Traits in Dynamic Multiplex Social Networks

    Publication Year: 2016, Page(s):32 - 43
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (953 KB) | HTML iconHTML Multimedia Media

    The interplay between individuals' social interactions and traits has been studied extensively but traditionally from static or homogeneous social network perspectives. The recent availability of dynamic and heterogeneous (multiplex) network data has introduced a variety of new challenges. Critically, novel computational models are needed that can cope with data dynamics and heterogeneity. In this... View full abstract»

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  • Stability of Spreading Processes over Time-Varying Large-Scale Networks

    Publication Year: 2016, Page(s):44 - 57
    Cited by:  Papers (9)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1906 KB) | HTML iconHTML

    In this paper, we analyze the dynamics of spreading processes taking place over time-varying networks. A common approach to model time-varying networks is via Markovian random graph processes. This modeling approach presents the following limitation: Markovian random graphs can only replicate switching patterns with exponential inter-switching times, while in real applications these times are usua... View full abstract»

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  • Sync-Rank: Robust Ranking, Constrained Ranking and Rank Aggregation via Eigenvector and SDP Synchronization

    Publication Year: 2016, Page(s):58 - 79
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2155 KB) | HTML iconHTML Multimedia Media

    We consider the classical problem of establishing a statistical ranking of a set of n items given a set of inconsistent and incomplete pairwise comparisons between such items. Instantiations of this problem occur in numerous applications in data analysis (e.g., ranking teams in sports data), computer vision, and machine learning. We formulate the above problem of ranking with incomplete noisy info... View full abstract»

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  • 2015 Reviewers List$^ast$

    Publication Year: 2016, Page(s):80 - 81
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  • 2015 Index IEEE Transactions on Network Science and Engineering Vol. 2

    Publication Year: 2016, Page(s):1 - 3
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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.

Full Aims & Scope

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