Epidemic processes in complex networks

R Pastor-Satorras, C Castellano, P Van Mieghem… - Reviews of modern …, 2015 - APS
In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Analysis and control of epidemics: A survey of spreading processes on complex networks

C Nowzari, VM Preciado… - IEEE Control Systems …, 2016 - ieeexplore.ieee.org
This article reviews and presents various solved and open problems in the development,
analysis, and control of epidemic models. The proper modeling and analysis of spreading …

Mathematics of epidemics on networks

IZ Kiss, JC Miller, PL Simon - Cham: Springer, 2017 - Springer
Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

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 …

[HTML][HTML] Network resilience

X Liu, D Li, M Ma, BK Szymanski, HE Stanley, J Gao - Physics Reports, 2022 - Elsevier
Many systems on our planet shift abruptly and irreversibly from the desired state to an
undesired state when forced across a “tipping point”. Some examples are mass extinctions …

[图书][B] Information and influence propagation in social networks

W Chen, C Castillo, LVS Lakshmanan - 2022 - books.google.com
Research on social networks has exploded over the last decade. To a large extent, this has
been fueled by the spectacular growth of social media and online social networking sites …

Irie: Scalable and robust influence maximization in social networks

K Jung, W Heo, W Chen - 2012 IEEE 12th international …, 2012 - ieeexplore.ieee.org
Influence maximization is the problem of selecting top k seed nodes in a social network to
maximize their influence coverage under certain influence diffusion models. In this paper …

Graph vulnerability and robustness: A survey

S Freitas, D Yang, S Kumar, H Tong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The study of network robustness is a critical tool in the characterization and sense making of
complex interconnected systems such as infrastructure, communication and social networks …

Rise and fall patterns of information diffusion: model and implications

Y Matsubara, Y Sakurai, BA Prakash, L Li… - Proceedings of the 18th …, 2012 - dl.acm.org
The recent explosion in the adoption of search engines and new media such as blogs and
Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of …

Gelling, and melting, large graphs by edge manipulation

H Tong, BA Prakash, T Eliassi-Rad… - Proceedings of the 21st …, 2012 - dl.acm.org
Controlling the dissemination of an entity (eg, meme, virus, etc) on a large graph is an
interesting problem in many disciplines. Examples include epidemiology, computer security …