Social physics

被引:407
作者
Jusup, Marko [1 ]
Holme, Petter [1 ]
Kanazawa, Kiyoshi [2 ,3 ]
Takayasu, Misako [1 ]
Romic, Ivan [1 ,4 ]
Wang, Zhen [5 ]
Gecek, Suncana [6 ]
Lipic, Tomislav [7 ]
Podobnik, Boris [8 ,9 ,10 ,11 ]
Wang, Lin [12 ]
Luo, Wei [13 ]
Klanjscek, Tin [6 ]
Fan, Jingfang [14 ,15 ]
Boccaletti, Stefano [16 ,17 ,18 ]
Perc, Matjaz [19 ,20 ,21 ]
机构
[1] Tokyo Inst Technol, Inst Innovat Res, Tokyo Tech World Hub Res Initiat WRHI, Tokyo 1528550, Japan
[2] Univ Tsukuba, Fac Engn Informat & Syst, Tsukuba, Ibaraki 3058573, Japan
[3] Japan Sci & Technol Agcy, PRESTO, Kawaguchi, Saitama 3320012, Japan
[4] Yunnan Univ Finance & Econ, Stat & Math Coll, Kunming 650221, Yunnan, Peoples R China
[5] Northwestern Polytech Univ, Sch Artificial Intelligence Opt & Elect iOPEN, Xian 710072, Peoples R China
[6] Rudjer Boskovic Inst, Div Marine & Environm Res, HR-10002 Zagreb, Croatia
[7] Rudjer Boskovic Inst, Div Elect, HR-10002 Zagreb, Croatia
[8] Univ Rijeka, Fac Civil Engn, Rijeka 51000, Croatia
[9] Fac Informat Studies Novo Mesto, Novo Mesto 8000, Slovenia
[10] Zagreb Sch Econ & Management, Zagreb 10000, Croatia
[11] Luxembourg Sch Business, L-1450 Luxembourg, Luxembourg
[12] Univ Cambridge, Dept Genet, Cambridge CB2 3EH, England
[13] Natl Univ Singapore, Fac Arts & Social Sci Natl, Dept Geog, Singapore 117570, Singapore
[14] Beijing Normal Univ, Sch Syst Sci, Beijing 100875, Peoples R China
[15] Potsdam Inst Climate Impact Res PIK, D-14412 Potsdam, Germany
[16] CNR Inst Complex Syst, I-50019 Florence, Italy
[17] Univ Rey Juan Carlos, Madrid 28933, Spain
[18] Natl Res Univ, Moscow Inst Phys & Technol, Moscow 141701, Russia
[19] Univ Maribor, Fac Nat Sci & Math, Koroska Cesta 160, Maribor 2000, Slovenia
[20] Complex Sci Hub Vienna, A-1080 Vienna, Austria
[21] China Med Univ, China Med Univ Hosp, Dept Med Res, Taichung 404332, Taiwan
来源
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS | 2022年 / 948卷
基金
日本科学技术振兴机构; 中国国家自然科学基金; 英国工程与自然科学研究理事会; 欧洲研究理事会; 日本学术振兴会;
关键词
Multidisciplinarity; Thermodynamics; Statistical physics; Human behaviour; Sustainability; EARLY-WARNING SIGNALS; CLIMATE-CHANGE IMPACTS; PRISONERS-DILEMMA GAME; STOCHASTIC BLOCK MODEL; ENERGY BUDGET THEORY; OF-THE-ART; STATISTICAL-MECHANICS; EVOLUTIONARY DYNAMICS; MATHEMATICAL-MODELS; ECHO CHAMBERS;
D O I
10.1016/j.physrep.2021.10.005
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Recent decades have seen a rise in the use of physics methods to study different societal phenomena. This development has been due to physicists venturing outside of their traditional domains of interest, but also due to scientists from other disciplines taking from physics the methods that have proven so successful throughout the 19th and the 20th century. Here we characterise the field with the term 'social physics' and pay our respect to intellectual mavericks who nurtured it to maturity. We do so by reviewing the current state of the art. Starting with a set of topics that are at the heart of modern human societies, we review research dedicated to urban development and traffic, the functioning of financial markets, cooperation as the basis for our evolutionary success, the structure of social networks, and the integration of intelligent machines into these networks. We then shift our attention to a set of topics that explore potential threats to society. These include criminal behaviour, large-scale migration, epidemics, environmental challenges, and climate change. We end the coverage of each topic with promising directions for future research. Based on this, we conclude that the future for social physics is bright. Physicists studying societal phenomena are no longer a curiosity, but rather a force to be reckoned with. Notwithstanding, it remains of the
引用
收藏
页码:1 / 148
页数:148
相关论文
共 1156 条
[1]   Estimating the reproducibility of psychological science [J].
Aarts, Alexander A. ;
Anderson, Joanna E. ;
Anderson, Christopher J. ;
Attridge, Peter R. ;
Attwood, Angela ;
Axt, Jordan ;
Babel, Molly ;
Bahnik, Stepan ;
Baranski, Erica ;
Barnett-Cowan, Michael ;
Bartmess, Elizabeth ;
Beer, Jennifer ;
Bell, Raoul ;
Bentley, Heather ;
Beyan, Leah ;
Binion, Grace ;
Borsboom, Denny ;
Bosch, Annick ;
Bosco, Frank A. ;
Bowman, Sara D. ;
Brandt, Mark J. ;
Braswell, Erin ;
Brohmer, Hilmar ;
Brown, Benjamin T. ;
Brown, Kristina ;
Bruening, Jovita ;
Calhoun-Sauls, Ann ;
Callahan, Shannon P. ;
Chagnon, Elizabeth ;
Chandler, Jesse ;
Chartier, Christopher R. ;
Cheung, Felix ;
Christopherson, Cody D. ;
Cillessen, Linda ;
Clay, Russ ;
Cleary, Hayley ;
Cloud, Mark D. ;
Cohn, Michael ;
Cohoon, Johanna ;
Columbus, Simon ;
Cordes, Andreas ;
Costantini, Giulio ;
Alvarez, Leslie D. Cramblet ;
Cremata, Ed ;
Crusius, Jan ;
DeCoster, Jamie ;
DeGaetano, Michelle A. ;
Della Penna, Nicolas ;
den Bezemer, Bobby ;
Deserno, Marie K. .
SCIENCE, 2015, 349 (6251)
[2]  
Abbe E., 2017, The Journal of Machine Learning Research, V18, P6446
[3]  
ABBEY HELEN, 1952, HUMAN BIOL, V24, P201
[4]  
Abebe Rediet, 2018, AI Matters, V4, P27, DOI 10.1145/3284751.3284761
[5]  
Abelson RP., 1967, Advances in experimental social psychology, V3, P1, DOI [DOI 10.1016/S0065-2601(08)60341-X, 10.1016/S0065-2601(08)60341-X]
[6]   Option Pricing and Hedging with Liquidity Costs and Market Impact [J].
Abergel, F. ;
Loeper, G. .
ECONOPHYSICS AND SOCIOPHYSICS: RECENT PROGRESS AND FUTURE DIRECTIONS, 2017, :19-40
[7]  
Abler Ronald., 1971, Spatial Organization: The Geographer's View of the World
[8]   Is polarization a myth? [J].
Abramowitz, Alan I. ;
Saunders, Kyle L. .
JOURNAL OF POLITICS, 2008, 70 (02) :542-555
[9]  
Abu-Mostafa YS., 2012, LEARNING DATA
[10]  
Achiam J., 2018, Spinning Up in Deep Reinforcement Learning