How to identify influential spreaders in complex networks is still an open issue in network
science. Many approaches from different perspectives have been proposed to identify vital …

Trust has played a pivotal role in the evolution of modern human societies, and it continues
to be an essential underpinning of our social interactions. It is therefore important that we …

Iterated games constitute an important topic of evolutionary game theory and shape the
human long-run behaviors in social systems. A new class of memory-one strategies for …

Incentives are often used to promote cooperation in a population of competing agents.
Furthermore, it is a common method to combine both punishment and reward. However …

In game theory, the classic Stackelberg game is a dynamic model of a leader and a follower
firm contending in a market. The time evolution with the marginal cost and the dynamical …

Bitcoin network is one of the most popular blockchain systems. Mining pools are the main
components of the Bitcoin network that invest a large amount of computing power to …

Cooperative behavior assumes a critical role in resolving conflicts arising between collective
and individual interests, while punishment measures serve as a robust deterrent against …

At present, network model is a general framework for the representation of complex system,
and its structure is the fundamental and prerequisite for control and other applications of …

Microscopic strategy update rules play an important role in the evolutionary dynamics of
cooperation among interacting agents on complex networks. Many previous related works …

Visual sensor networks (VSNs) constitute a fundamental class of distributed sensing
systems, with unique complexity and appealing performance features, which …