Name
Abstract | ||
|---|---|---|
We analyze the temporal evolution of emerging fields within several scientific disciplines in terms of numbers of authors and publications. From bibliographic searches we construct databases of authors, papers, and their dates of publication. We show that the temporal development of each field, while different in detail, is well described by population contagion models, suitably adapted from epidemiology to reflect the dynamics of scientific interaction. Dynamical parameters are estimated and discussed to reflect fundamental characteristics of the field, such as time of apprenticeship and recruitment rate. We also show that fields tire characterized by simple scaling laws relating numbers of new publications to new authors, with exponents that reflect increasing or decreasing returns in scientific productivity. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/s11192-007-1888-4 | Scientometrics |
Keywords | Field | DocType |
Influenza,Carbon Nanotubes,Scientific Field,Scrapie,H5N1 Influenza | Data science,Population,Data mining,Apprenticeship,Computer science,Epistemology,Scientific method,Scaling law,Scientific productivity | Journal |
Volume | Issue | ISSN |
75 | 3 | 0138-9130 |
Citations | PageRank | References |
37 | 2.93 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luís M. A. Bettencourt | 1 | 94 | 9.47 |
| David I. Kaiser | 2 | 63 | 4.61 |
| Jasleen Kaur | 3 | 376 | 36.29 |
| C. Castillo-Chavez | 4 | 40 | 4.62 |
| David E. Wojick | 5 | 40 | 3.41 |