New Domains for Structural Analysis
Reformulating standard data analysis as structural analysis
Bibliographic Data
| ID | 20507928 |
|---|---|
| Authors | Joel H Levine (Dartmouth College, corresponding author) |
| Year | 2013 |
| Volume | 16 |
| Issue | 4 |
| Pages | 613-629 |
| Publication date | 2013-05-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Information Communication & Society (JOURNAL) |
| Journal identifiers | ISSN: 1369-118X • E-ISSN: 1468-4462 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/1369118x.2013.777755 |
| OpenAlex | W1484202409 |
| Language | EN |
| References cited | 5 |
Can network thinking be extended to the broad range of social organization conventionally studies by sociologists? Applying structural thinking to American election data, it is possible to detect a social-economic hierarchy solely from the links among categories, without reference to external numerical indicators of rank. It is possible to detect and verify sensible and suggestive relative social positions for categories of income, education, gender, age, religion, race, party identification, and region – forming correlated hierarchies. The special contribution of the structural analysis is its simultaneous attention to detail and the overview of links, coupled with less dependence on a priori assumptions
A priori and a posteriori · Data science · Econometrics · Economics · Epistemology · Hierarchy · Political science · Positive economics · Sociology · Computer Science · Engineering · Gender Studies · Mathematics · Psychology · Social and Cultural Dynamics · Social Capital and Networks · Social Media and Politics · Social Psychology
| Highly cited | No |
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