A New Approach to Detect Communities in Multi-weighted Co-authorship Networks

Co-authorship graphs related to publications (bibliographical production) are generally represented by undirected graphs, where each edge maintains a single value for publications produced by the authors. A variation of this type of graph is related to use of different weights associated with different types of publications. In this context, within the ?eld of scien to metrics, ´journal papers´ or ´books´ may have a higher priority than the ´conference papers´, and the ´conference papers´ might have higher priority than the ´extended abstract´. In this paper, we present a simple weight combination to detect communities in co-authorship networks, which allows simultaneous consideration of multiple types of collaborations. Our preliminary results show a good performance in the detection of communities considering real bibliographical production graphs.