The Matthew effect describes the phenomenon that in societies, the rich tend to get richer
and the potent even more powerful. It is closely related to the concept of preferential …

We present the first complete verification of Granovetter's theory of social networks using a
massive dataset, ie DBLP computer science bibliography database. For this purpose, we …

A key ingredient of many current models proposed to capture the topological evolution of
complex networks is the hypothesis that highly connected nodes increase their connectivity …

A system with a self-similar property is scale-independent and statistically exhibits that
property at all levels of observation. In addition, a power law describes the distribution of a …

We study empirically the time evolution of scientific collaboration networks in physics and
biology. In these networks, two scientists are considered connected if they have coauthored …

We show how preferential attachment can emerge in an optimization framework, resolving a
long-standing theoretical controversy. We also show that the preferential attachment model …

We model network formation when heterogeneous nodes enter sequentially and form
connections through both random meetings and network-based search, but with type …

Citation networks have been widely used to study the evolution of science through the
lenses of the underlying patterns of knowledge flows among academic papers, authors …

The principle that 'popularity is attractive'underlies preferential attachment, which is a
common explanation for the emergence of scaling in growing networks. If new connections …

Nobel Prizes are commonly seen to be among the most prestigious achievements of our
times. Based on mining several million citations, we quantitatively analyze the processes …