Name
Abstract | ||
|---|---|---|
In this paper we map the affinity between topics extracted from a body of literature published in Astronomy and Astrophysics journals between 2003-2010. The topics are extracted using the popular information theoretic Infomap clustering algorithm (Rosvall & Bergstrom, 2008) iteratively on the giant component of the direct citation network constructed from the data. The affinity network shows what topics are disproportionally well connected (by citations) to other topics. The topology of the network highlights a large division into astrophysics versus astronomically oriented publications. Bridging between those two domains is a population of smaller topics. Going forward, we plan to create and analyze topic affinity network maps for alternative solutions to the topic extraction challenge on that same data set that are produced by our colleagues and that will be discussed and compared at the proposed special session on 'Same data? Different results? The performative nature of algorithms for topic detection in science' at ISSI 2015. We expect that topic affinity mappings will help to examine the nature of differences between different topic extraction solutions. |
Year | Venue | Field |
|---|---|---|
2015 | PROCEEDINGS OF ISSI 2015 ISTANBUL: 15TH INTERNATIONAL SOCIETY OF SCIENTOMETRICS AND INFORMETRICS CONFERENCE | Data science,Engineering,Affinity analysis |
DocType | ISSN | Citations |
Conference | 2175-1935 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theresa Velden | 1 | 171 | 13.52 |
| Shiyan Yan | 2 | 17 | 2.29 |
| Carl Lagoze | 3 | 1572 | 213.17 |