Dynamics of information diffusion and its applications on complex networks

ZK Zhang, C Liu, XX Zhan, X Lu, CX Zhang, YC Zhang - Physics Reports, 2016 - Elsevier
The ongoing rapid expansion of the Word Wide Web (WWW) greatly increases the
information of effective transmission from heterogeneous individuals to various systems …

Distributed consensus tracking for multi‐agent systems under two types of attacks

Z Feng, G Hu, G Wen - … Journal of Robust and Nonlinear Control, 2016 - Wiley Online Library
This paper studies a distributed coordinated control problem for a class of linear multi‐agent
systems subject to two types of attacks. The problem boils down to how to achieve secure …

DeltaCon Principled Massive-Graph Similarity Function with Attribution

D Koutra, N Shah, JT Vogelstein, B Gallagher… - ACM Transactions on …, 2016 - dl.acm.org
How much has a network changed since yesterday? How different is the wiring of Bob's
brain (a left-handed male) and Alice's brain (a right-handed female), and how is it different …

Optimizing network robustness by edge rewiring: a general framework

H Chan, L Akoglu - Data Mining and Knowledge Discovery, 2016 - Springer
Spectral measures have long been used to quantify the robustness of real-world graphs. For
example, spectral radius (or the principal eigenvalue) is related to the effective spreading …

Greedily improving our own closeness centrality in a network

P Crescenzi, G D'angelo, L Severini… - ACM Transactions on …, 2016 - dl.acm.org
The closeness centrality is a well-known measure of importance of a vertex within a given
complex network. Having high closeness centrality can have positive impact on the vertex …

Methods for removing links in a network to minimize the spread of infections

AK Nandi, HR Medal - Computers & Operations Research, 2016 - Elsevier
Minimizing the spread of infections is a challenging problem, and it is the subject matter in
many different fields such as epidemiology and cyber-security. In this paper, we investigate …

Eigen-optimization on large graphs by edge manipulation

C Chen, H Tong, BA Prakash, T Eliassi-Rad… - ACM Transactions on …, 2016 - dl.acm.org
Large graphs are prevalent in many applications and enable a variety of information
dissemination processes, eg, meme, virus, and influence propagation. How can we optimize …

Near-optimal algorithms for controlling propagation at group scale on networks

Y Zhang, A Adiga, S Saha, A Vullikanti… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Given a network with groups, such as a contact-network grouped by ages, which are the
best groups to immunize to control the epidemic? Equivalently, how to choose best …

Centrality-aware link recommendations

N Parotsidis, E Pitoura, P Tsaparas - … conference on web search and data …, 2016 - dl.acm.org
Link recommendations are critical for both improving the utility and expediting the growth of
social networks. Most previous approaches focus on suggesting links that are highly likely to …

Suppressing epidemics in networks using priority planning

K Scaman, A Kalogeratos… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In this paper, we analyze a large class of dynamic resource allocation (DRA) strategies,
named priority planning, that aim to suppress SIS epidemics taking place in a network. This …