Name
Abstract | ||
|---|---|---|
The vertiginous increase of e-platforms for social communication has boosted the ways people use to interact each other. Micro-blogging and decentralized posts are used indistinctly for social interaction, usually by the same individuals acting simultaneously in the different platforms. Multiplex networks are the natural abstraction representation of such \"layered\" relationships and others, like co-authorship. Here, we re-define the betweenness centrality measure to account for the inherent structure of multiplex networks and propose an algorithm to compute it in an efficient way. To show the necessity and the advantage of the proposed definition, we analyze the obtained centralities for two real multiplex networks, a social multiplex of two layers obtained from Twitter and Instagram and a co-authorship network of four layers obtained from arXiv. Results show that the proposed definition provides more accurate results than the current approach of evaluating the classical betweenness centrality on the aggregated network, in particular for the middle ranked nodes. We also analyze the computational cost of the presented algorithm. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2615569.2615687 | WebSci |
Keywords | Field | DocType |
betweenness centrality,miscellaneous,multilayer networks,multiplex networks | Network science,Social relation,Data mining,Abstraction,Ranking,Computer science,Multiplex,Centrality,Betweenness centrality,Network theory | Conference |
Citations | PageRank | References |
28 | 1.33 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Albert Solé-Ribalta | 1 | 350 | 19.66 |
| Manlio De Domenico | 2 | 191 | 11.37 |
| Sergio Gómez | 3 | 377 | 24.96 |
| Alexandre Arenas | 4 | 211 | 18.40 |