
arXiv: 1507.00477
Quantitative social science is not only about regression analysis or, in general, data inference. Computer simulations of social mechanisms have a 60-year long history. They have been used for many different purposes -- to test scenarios, test the consistency of descriptive theories (proof-of-concept models), explore emergent phenomena, forecast, etc. In this essay, we sketch these historical developments, the role of mechanistic models in the social sciences, and the influences from the natural and formal sciences. We argue that mechanistic computational models form a common ground for social and natural sciences and look forward to possible future information flow across the social-natural divide.
v3, many typos corrected
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, Physics, QC1-999, interdisciplinary science, FOS: Physical sciences, computational social science, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), simulation, mechanistic models, Interdisciplinary science, complex systems
Social and Information Networks (cs.SI), FOS: Computer and information sciences, Physics - Physics and Society, Physics, QC1-999, interdisciplinary science, FOS: Physical sciences, computational social science, Computer Science - Social and Information Networks, Physics and Society (physics.soc-ph), simulation, mechanistic models, Interdisciplinary science, complex systems
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
