Showing 1 - 6 of 6
The patterns of scientific collaboration have been frequently investigated in terms of complex networks without reference to time evolution. In the present work, we derive collaborative networks (from the arXiv repository) parameterized along time. By defining the concept of affine group, we...
Persistent link: https://www.econbiz.de/10010795064
Complex networks may undergo random and/or systematic failures in some of their components, i.e. nodes and edges. These failures may influence various network properties. In this article, for a number of real-world as well as Watts–Strogatz model networks, we investigated the profile of the...
Persistent link: https://www.econbiz.de/10010795287
There is an overall perception of increased interdisciplinarity in science, but this is difficult to confirm quantitatively owing to the lack of adequate methods to evaluate subjective phenomena. This is no different from the difficulties in establishing quantitative relationships in human and...
Persistent link: https://www.econbiz.de/10011039380
Various factors are believed to govern the selection of references in citation networks, but a precise, quantitative determination of their importance has remained elusive. In this paper, we show that three factors can account for the referencing pattern of citation networks for two topics,...
Persistent link: https://www.econbiz.de/10011039423
This study examines collaboration dynamics with the goal to predict and recommend collaborations starting from the …
Persistent link: https://www.econbiz.de/10010795132
Dynamic development is an intrinsic characteristic of research topics. To study this, this paper proposes two sets of topic attributes to examine topic dynamic characteristics: topic continuity and topic popularity. Topic continuity comprises six attributes: steady, concentrating, diluting,...
Persistent link: https://www.econbiz.de/10011039484