The term “network interventions” describes the process of using social network data to
accelerate behavior change or improve organizational performance. In this Review, four …

Complex networks appear in almost every aspect of science and technology. Although most
results in the field have been obtained by analysing isolated networks, many real-world …

The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …

The use of Bayesian methods for data analysis is creating a revolution in fields ranging from
genetics to marketing. Yet, results of our literature review, including more than 10,000 …

Advocates of complexity theory describe it as a new scientific paradigm. Complexity theory
identifies instability and disorder in politics and policy making, and links them to the …

This fourth edition of Communication, Cultural and Media Studies: The Key Concepts is an
indispensible guide to the most important terms in the field. It offers clear explanations of the …

We introduce the concept of control centrality to quantify the ability of a single node to control
a directed weighted network. We calculate the distribution of control centrality for several …

This technical note studies distributed adaptive control of synchronization in complex
networks. An effective distributed adaptive strategy to tune the coupling weights of a network …

Many networks are dynamic in that their topology changes rapidly—on the same time scale
as the communications of interest between network nodes. Examples are the human contact …

This paper contributes to debates about the implications of digital technology for social
research by proposing the concept of the redistribution of methods. In the context of …