Volume 2 Issue 1 • Jan.-March 2015
Filter Results
-
2014 Index IEEE Transactions on Network Science and Engineering Vol. 1
Publication Year: 2015, Page(s):1 - 3|
PDF (127 KB)
-
Algorithmic Renormalization for Network Dynamics
Publication Year: 2015, Page(s):1 - 16The 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»
-
Bi-Virus SIS Epidemics over Networks: Qualitative Analysis
Publication Year: 2015, Page(s):17 - 29
Cited by: Papers (4)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»
-
On the Influence of the Seed Graph in the Preferential Attachment Model
Publication Year: 2015, Page(s):30 - 39
Cited by: Papers (4)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»
-
The Attention Automaton: Sensing Collective User Interests in Social Network Communities
Publication Year: 2015, Page(s):40 - 52
Cited by: Papers (1)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»
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.
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