Name
Title | ||
|---|---|---|
Mapping the cognitive structure of astrophysics by infomap clustering of the citation network and topic affinity analysis. |
Abstract | ||
|---|---|---|
In this paper we use the information theoretic Infomap algorithm (Rosvall and Bergstrom in Proc Natl Acad Sci 105(4):1118---1123, 2008) iteratively in order to cluster the direct citation network of the Astro Data Set (publications in 59 astrophysical journals between 2003 and 2010.) We obtain 22 clusters of documents from the giant component of the network that we interpret as constituting `topics' in the field of astrophysics. Upon investigation of the content of the topics we find a grouping of topics by shared features of their `journal signature', that is the journals that are most characteristic for a topic due to their popularity and distinctiveness. These groups of topics match sub disciplines within the field. We generate a cognitive map of the field using a topic affinity network that shows what topics are disproportionally well connected (by citations) to other topics. The topology of the topic affinity network highlights a high-level organization of the field by sub-discipline and observational distance of the research object from Earth. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/s11192-017-2299-9 | Scientometrics |
Keywords | Field | DocType |
Science mapping, Topic extraction, Network clustering, Direct citation network, Infomap, Topic labeling | Cluster (physics),Astrophysics,Data mining,Cognitive map,Computer science,Popularity,Giant component,Cognition,Affinity analysis,Cluster analysis,Optimal distinctiveness theory | Journal |
Volume | Issue | ISSN |
111 | 2 | 1588-2861 |
Citations | PageRank | References |
8 | 0.49 | 24 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theresa Velden | 1 | 171 | 13.52 |
| Shiyan Yan | 2 | 17 | 2.29 |
| Carl Lagoze | 3 | 1572 | 213.17 |