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0 pointsharlanji8y ago0 comments

Can you talk about what software packages, perhaps data structures and algorithms you use? Any shortcomings / low hanging fruit? I see the domain as an invaluable tool for a few applications... any particularly strong ones you can see?

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denzil_correa8y ago

The important thing here is the objective : there are different methods and tools to reach that objective.

Primarily, the objective of Computational Social Science is to understand human behavior but with computational methods. Traditionally, social science was done offline with surveys. But, with the increase in social information on the Internet could we use that data to know more about humans?

How? There are various methods on how one could do so - network theory, statistics, text mining etc. are some tools that are useful to achieve the objective.

neuromantik80868y ago

Wrt to algorithms / techniques used, you might want to check out this textbook by some of the Cornell folks:

http://www.cs.cornell.edu/home/kleinber/networks-book/

They also made an EdX course for it:

https://www.edx.org/course/networks-crowds-markets-cornellx-...

randcraw8y ago

Coursera offers about a half dozen courses in subjects seemingly related to CompSoc:

Social and Economic Networks: Models and Analysis, Stanford

Networks: Friends, Money, and Bytes, Princeton

Sampling People, Networks and Records, Michigan

Applied Social Network Analysis in Python, Michigan

Capstone: Analyzing (Social) Network Data, UCSD

Social Computing, UCSD

Measuring Causal Effect in the Social Sciences, U Copenhagen

Smart Cities, EPFL

Organizational Analysis, Stanford

pathdependent8y ago

To play with some ideas, nothing is more accessible than NetLogo: https://ccl.northwestern.edu/netlogo/

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