LEADER 02123nam  2200421z- 450 
001 9910688417703321
005 20210211
035   $a(CKB)4100000002484661
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/41480
035   $a(oapen)doab41480
035   $a(EXLCZ)994100000002484661
100   $a20202102d2016      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aAt the Crossroads: Lessons and Challenges in Computational Social Science
210   $cFrontiers Media SA$d2016
215   $a1 online resource (98 p.)
225 1 $aFrontiers Research Topics
311 08$a2-88945-021-X 
330   $aThe interest of physicists in economic and social questions is not new: for over four decades, we have witnessed the emergence of what is called nowadays "sociophysics" and "econophysics", vigorous and challenging areas within the wider "Interdisciplinary Physics". With tools borrowed from Statistical Physics and Complexity, this new area of study have already made important contributions, which in turn have fostered the development of novel theoretical foundations in Social Science and Economics, via mathematical approaches, agent-based modelling and numerical simulations. From these foundations, Computational Social Science has grown to incorporate as well the empirical component -aided by the recent data deluge from the Web 2.0 and 3.0-, closing in this way the experiment-theory cycle in the best tradition of Physics.
517   $aAt the Crossroads
610   $aAgent-based modeling
610   $abig data
610   $acomputational social science
610   $aData Mining
610   $amathematical modeling
610   $asimulation
610   $aSocial Data Science
700   $aJavier Borge-Holthoefer$4auth$01352611
702   $aTaha Yasseri$4auth
702   $aYamir Moreno$4auth
906   $aBOOK
912   $a9910688417703321
996   $aAt the Crossroads: Lessons and Challenges in Computational Social Science$93186464
997   $aUNINA