The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Co-ranking Authors and Documents in a Heterogeneous Network
Abstract
Recent graph-theoretic approaches have demonstrated remarkable successes for ranking networked entities, but most of their applications are limited to homogeneous networks such as the network of citations between publications. This paper proposes a novel method for co-ranking authors and their publications using several networks: the social network connecting the authors, the citation network connecting the publications, as well as the authorship network that ties the previous two together. The new co-ranking framework is based on coupling two random walks, that separately rank authors and documents following the PageRankparadigm. As a result, improved rankings of documents and their authors depend on each other in a mutually reinforcing way, thus taking advantage of the additional information implicit in the heterogeneous network of authors and documents.
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Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
Garfield, E. (1972) · Science · doi:10.1126/science.178.4060.471 · Cited by 2,788
Bianchini, M., Gori, M., & Scarselli, F. (2005) · ACM Transactions on Internet Technology · doi:10.1145/1052934.1052938 · Cited by 539
Cited by
Kivela, M., Arenas, A., Barthelemy, M., Gleeson, J. P., Moreno, Y., & Porter, M. A. (2014) · Journal of Complex Networks · doi:10.1093/comnet/cnu016 · Cited by 3,235
Xia, F., Wang, W., Bekele, T. M., & Liu, H. (2017) · IEEE Transactions on Big Data · doi:10.1109/tbdata.2016.2641460 · Cited by 266
Metadata
- Authors
- Zhou, D., Orshanskiy, S. A., Zha, H., & Giles, C. L.
- Venue
- Seventh IEEE International Conference on Data Mining (ICDM 2007)
- Publisher
- IEEE
- Published
- 2007-10
- Pages
- 739-744
- ISSN
- 1550-4786 (ISSN-L)
- OpenAlex
- W2162010993
- Cited by
- 245
- References
- 4
- FWCI
- 20.77
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zhou, D., Orshanskiy, S. A., Zha, H., & Giles, C. L. (2007). Co-ranking Authors and Documents in a Heterogeneous Network. Seventh IEEE International Conference on Data Mining (ICDM 2007). https://doi.org/10.1109/icdm.2007.57
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.