Diffusion in social networks has been studied extensively in the past few years. Most
previous work assumes that the underlying network is a static object that remains …

We analyzed the interaction processes between disease and disease-based information on
multiplex networks. Unlike previous models, an epidemic can spread in parallel with the …

Malware is increasingly sophisticated and affects the wellbeing of a large population of
heterogeneous and highly connected devices. The users of these devices can make …

Epidemiological contact network models have emerged as an important tool in
understanding and predicting spread of infectious disease, due to their capacity to engage …

Epidemic processes are used commonly for modeling and analysis of biological networks,
computer networks, and human contact networks. The idea of competing viruses has been …

Modern networks are very large in size and also evolve with time. As their size grows, the
complexity of performing network analysis grows as well. Getting a smaller representation of …

Optimal curing strategy of suppressing competing epidemics spreading over complex
networks is a critical issue. In this paper, we first establish a framework to capture the …

In a social network, influence diffusion is the process of spreading innovations from user to
user. An activation state identifies who are the active users who have adopted the target …

Cybersecurity dynamics is a mathematical approach to modeling and analyzing cyber
attacker-defender interactions in networks. In this paper, we advance the state-of-the-art in …

Wireless power transfer (WPT) is an enabling technology that energizes IoT devices as well
as sensors at a distance without power plugs. In this paper, we consider WPT for mobile …