A Co-Authorship Graph is a directed social graph of authors and their co-authorship relations.
- AKA: Co-Author Network, Co-Authorship Dataset.
- It can be the input to a Co-authorship Network Analysis Task.
- It can be derived from a Bibliographic Network.
- See: DBLP, Arnetminer System.
- (Liu et al., 2009) ⇒ Xiaoming Liu, Johan Bollen, Michael L. Nelson, and Herbert Van de Sompel. (2009). “Co-Authorship Networks in the Digital Library Research Community.” In: PLoS Neglected Tropical Diseases, 3(8):.
- (Farkas, 2008) ⇒ Richárd Farkas. (2008). “The Strength of Co-authorship in Gene Name Disambiguation.” In: BMC Bioinformatics, 9:69. doi:10.1186/1471-2105-9-69
- QUOTE: The co-author graph represents the relationship between authors. The nodes of the graph are authors, while the edges represent mutual publications.
- (Liben-Nowell & Kleinberg) ⇒ David Liben-Nowell, and Jon Kleinberg. (2003). “The Link Prediction Problem for Social Networks.” In: Proceedings of the twelfth International Conference on Information and knowledge management (CIKM 2003). doi:10.1145/956863.956972
- … Experiments on large co-authorship networks suggest that information about future interactions can be extracted from network topology alone …
- (Barabási et al., 2002) ⇒ Albert-László Barabási, H. Jeong, Z. Neda, E. Ravasz, A. Schubert, and T. Vicsek. (2002). “Evolution of the Social Network of Scientific Collaborations.” In: Physica A: Statistical Mechanics and its Applications, 311(3-4). [http://dx.doi.org/10.1016/S0378-4371(02)00736-7 doi:10.1016/S0378-4371(02)00736-7
- QUOTE: The co-authorship network of scientists represents a prototype of complex evolving networks.