We analyze knowledge production in Computer Science by means of coauthorship networks. For this, we consider 30 graduate programs of different regions of the world, being 8 progra...
Alberto H. F. Laender, Guilherme Vale Menezes, Niv...
Background: Identifying candidate genes in genetic networks is important for understanding regulation and biological function. Large gene expression datasets contain relevant info...
Anup Parikh, Eryong Huang, Christopher Dinh, Blaz ...
A social network can become bases for information infrastructure in the future. It is important to extract social networks that are not biased. Providing a simple means for users ...
The algorithm designed in [12, 15] was the very first distributed algorithm to solve the mutual exclusion problem in complete networks by using a dynamic logical tree structure as...
In this paper we present EDAT, a tool designed for the analysis of trace files from network simulations and experiments. The EDAT framework encapsulates analysis steps in extensib...