This study attempts to ascertain whether particular structural arrangements and demographic features of a community were responsible for especially severe disturbances during the 1960s. Preliminary to addressing this question, consideration is given to the manner of measuring severity and to the volatile components of this phenomenon. With respect to the latter, it is found that (1) disorder se...

Includes bibliographical references and index.

Abstract The chapter outlines the basic concepts and theories of socialization in sociology, and relates them to different arenas and agents of socialization, ranging from family and peers to modern media. The chapter examines socialization in light of social structures, social class and cultural patterns, emphasizing the strength of the culture of the taken-for-granted, as well as the child as...

Time plays an essential role in the diffusion of information, influence and disease over networks. In many cases we only observe when a node copies information, makes a decision or becomes infected – but the connectivity, transmission rates between nodes and transmission sources are unknown. Inferring the underlying dynamics is of outstanding interest since it enables forecasting, influencing a...

Massive amounts of fake news and conspiratorial content have spread over social media before and after the 2016 US Presidential Elections despite intense fact-checking efforts. How do the spread of misinformation and fact-checking compete? What are the structural and dynamic characteristics of the core of the misinformation diffusion network, and who are its main purveyors? How to reduce the ov...

In real world social networks, there are multiple diffusion processes which are rarely independent. They usually interact with each other in a competitive or cooperative manner. In this paper, motivated by the reinforcement theory in sociology, we model the adoption behavior of users in social networks by a multivariate marked Hawkes process. According to this model, the intensity of a user to ...

Supply chain network enables the enterprises to achieve the purpose of knowledge diffusion complementary. Based on the complex network theory, using the method of combining qualitative analysis and model deduction, we established a knowledge diffusion network model that view staff of supply chain as network node, discussed the mechanism of knowledge diffusion, analysed the main control paramete...

Social media data have been increasingly used to assess the impact of scholarly research. Such data provide complementary metrics (often called altmetrics) to traditional impact indicators. This paper provides a summary on the diffusion of scholarly content in social media, based on a collection of tweets citing papers from a set of 27 academic publishers within various fields between 2011 and ...