This article offers a network perspective on the collaborative effects of technology transfer,
providing a research methodology based on the network science paradigm. We argue that …

We consider the network constraints on the bounds of the assortativity coefficient, which
aims to quantify the tendency of nodes with the same attribute values to be connected. The …

Collaborative innovation networks represent adequate structures within which to foster
members' abilities to interact and cooperate in order to increase the level of knowledge and …

The complex nature of the interlacement of economic actors is quite evident at the level of
the Stock market, where any company may actually interact with the other companies buying …

There is no doubt that scientific discoveries have always brought changes to society. New
technologies help solve social problems such as transportation and education, while …

Rich-club ordering and the dyadic effect are two phenomena observed in complex networks
that are based on the presence of certain substructures composed of specific nodes. Rich …

The extent to which available data is continuously growing in terms of volume is forcing
organizations to contend with and seek to resolve the so-called Big Data Challenge. Big …

Networks are real systems modelled through mathematical objects made up of nodes and
links arranged into peculiar and deliberate (or partially deliberate) topologies. Studying …

The aim of this work is to detect how the Brazilian financial ownership is distributed and who
are the owners of control. By using ownership relations between the firms listed in the …

Network structures have drawn a lot of research interest in recent years. However, little is
known about how the diversity, complexity, and structure of the multi-actor networks …