Centrality indices are a popular tool to analyze structural aspects of psychological networks.
As centrality indices were originally developed in the context of social networks, it is unclear …

Throughout the book, we use empirical examples to illustrate the material. Because social
networks are studied in a variety of traditional academic disciplines, we draw our examples …

Abstract The Latin American region has attracted a great amount of interest among
management and organizational scholars in recent years. The distinctive economic, social …

Offsetting carbon emissions by various means is carbon neutrality. Technological innovation
is an important path to carbon neutrality and has been framed in China's policy planning …

Society may be assumed to be a combination of several small networks. Naturally, an
individual from one network is connected to several other networks (associated networks) …

This approachable book introduces network research in R, walking you through every step
of doing social network analysis. Drawing together research design, data collection and data …

Identifying influential nodes is a very hot and challenging issue in the field of complex
system and network. A great deal of algorithms have been developed to address the …

The influence of the node refers to the ability of the node to disseminate information. The
faster and wider the node spreads, the greater its influence. There are many classical …

Existing software composition analysis (SCA) techniques for the C/C++ ecosystem tend to
identify the reused components through feature matching between target software project …

A transformation of the agricultural advisory system has occurred since the 1980s in many
European countries, one characterized by a withdrawal of State involvement and an …