Alberto, B., Maurice, H., & Mikael, V. J. (2010). Networked control systems. London: Springer.
MATH
Google Scholar
Amblard, F., & Deffuant, G. (2004). The role of network topology on extremism propagation with the relative agreement opinion dynamics. Physica A, 343, 725–738.
CrossRef
Google Scholar
Baggag, A., et al. (2018). Resilience analytics: Coverage and robustness in multi-modal transportation networks. EPJ Data Science, 7, 14. https://doi.org/10.1140/epjds/s13688-018-0139-7.
CrossRef
Google Scholar
Bakshy, E., Messing, S., & Adamic, L. A. (2015). Exposure to ideologically diverse news and opinion on Facebook. Science, 348(6239), 1130–1132. https://doi.org/10.1126/science.aaa1160.
MathSciNet
CrossRef
MATH
Google Scholar
Barabási, A.-L. (2016). Network science. Cambridge, UK: Cambridge University Press.
MATH
Google Scholar
Barbera, M. V., et al. (2013) Signals from the crowd: Uncovering social relationships through smartphone probes. http://conferences.sigcomm.org/imc/2013/papers/imc148-barberaSP106.pdf
Bauer, M., et al. (2018). Social contagion of ethnic hostility. PNAS, 115(19), 4881–4886.
CrossRef
Google Scholar
Blau, P. M. (1998). Exchange & power in social life. Piscataway, NJ: Transaction Publishers.
Google Scholar
Bobo, L. D. (2017). Racism in Trump’s America reflections on culture, sociology, and the 2016 US presidential election. The British Journal of Sociology, 68(S1), S85–S104. https://doi.org/10.1111/1468-4446.12324.
CrossRef
Google Scholar
Boening, A. (2014). The Arab Spring: Re-balancing the greater Euro-Mediterranean? Cham: Springer.
Google Scholar
Botta, F., et al. (2015) Quantifying crowd size with mobile phone and Twitter data. Royal Society Open Science. http://rsos.royalsocietypublishing.org/content/2/5/150162
Bozzo, E., & Franceschet, M. (2016). A theory on power in networks. Communication of the ACM, 59(11), 75–83.
CrossRef
Google Scholar
Broadbent, S. R., & Hammersley, J. M. (1957). Percolation processes. Mathematical Proceedings of the Cambridge Philosophical Society. https://doi.org/10.1017/S0305004100032680.
Brown, R. (2000). Group processes (2nd ed.). Oxford, UK: Blackwell.
Google Scholar
Candeago, L., Bertagnolli, G., Bosetti, P., Vescovi, M., Sacco, F., & Lepri, B. (2019). Cities of a feather flock together: A study on the synchronization of communication between Italian cities. EPJ Data Science, 8, 19. https://doi.org/10.1140/epjds/s13688-019-0198-4.
CrossRef
Google Scholar
Casilli, A. A., & Tubaro, R. (2012). Social media censorship in times of political unrest - A social simulation experiment with the UK riots. Bulletin de Methodologie Sociologique, 115(1), 5–20. https://doi.org/10.1177/0759106312445697.
CrossRef
Google Scholar
Castro, P., Chiu, P., Kremenek, T., & Muntz, R. (2001). A probabilistic room location service for wireless networked environments. Atlanta, GA: Ubiquitous Computing. http://godfather.cs.ucla.edu/publications/pdf/ubicomp01.zip.
CrossRef
MATH
Google Scholar
Chan, M. (2014). Social identity gratifications of social network sites and their impact on collective action participation. Asian Journal of Social Psychology, 17(3), 229–235.
CrossRef
Google Scholar
Choucri, N. (2012). Cyberpolitics in international relations. Cambridge, MA: The MIT Press.
CrossRef
Google Scholar
Choudhary, A., et al. (2012). Social media evolution of the Egyptian revolution. Communications of the ACM, 55(5), 74–80.
CrossRef
Google Scholar
Christensen, P. N., Rothgerber, H., Wood, W., & Matz, D. C. (2004). Social norms and identity relevance: A motivational approach to normative behavior. Personality and Social Psychology Bulletin, 30(10), 1295–1309.
CrossRef
Google Scholar
Ciamapglia, G. L. (2018). Fighting fake news: A role for computational social science in the fight against digital misinformation. Journal of Computational Social Science, 1, 147–153.
CrossRef
Google Scholar
Claire, T., & Fiske, S. T. (1998). A systemic view of behavioral confirmation. In C. Sedikides et al. (Eds.), Intergroup cognition and intergroup behavior. Boca Raton, FL: LEA.
Google Scholar
Coleman, J. S. (1974). Power and the structure of society. New York: Norton.
Google Scholar
Coleman, J. S. (1990). Foundations of social theory. Cambridge, MA: Berknap Press of University of Harvard Press.
Google Scholar
Cook, K. S., Emerson, R. M., Gillmore, M. R., & Yamagishi, T. (1983). The distribution of power in exchange networks: Theory and experimental results. American Journal of Sociology, 89, 275–305.
CrossRef
Google Scholar
Cook, K. S., Hegtvedt, K. A., & Yamagishi, T. (1988). Structural inequality, legitimation and reactions to inequity in exchange networks. In M. Webster & M. Foschi (Eds.), Status generalization: New theory and research. Palo Alto, CA: Stanford University Press.
Google Scholar
Copeland, B. J., & Shagrir, O. (2019). The church-turing thesis: Logical limit or breachable barrier? Communications of the ACM, 62(1), 66–74.
CrossRef
Google Scholar
Corner, J. (2017). Fake news, post-truth and media–political change. Media, Culture & Society, 39(7), 1100–1107.
CrossRef
Google Scholar
Deffuant, G., Neau, D., Amblard, F., & Weisbuch, G. (2000). Mixing beliefs among interacting agents. Advances in Complex Systems, 3, 87–98.
CrossRef
Google Scholar
Deutsch, M., & Coleman, P. T. (Eds.). (2000). The handbook of conflict resolution theory and practice. San Francisco, CA: Jossey-Bass Publisher.
Google Scholar
DiResta, R., et al. (2019). The tactics & tropes of the internet research agency. https://disinformationreport.blob.core.windows.net/disinformation-report/NewKnowledge-Disinformation-Report-Whitepaper.pdf
Doer, B., Fouz, M., & Friedrich, T. (2012). Why rumors spread so quickly in social networks. Communications of the ACM, 55(6), 70–75.
CrossRef
Google Scholar
Dolata, U. (Ed.). (2018). Collectivity and power on the internet: A sociological perspective (Springer briefs in sociology). Cham: Springer.
Google Scholar
Easley, D., & Kleinberg, J. (2010). Networks, crowds, and markets: Reasoning about a highly connected world. Cambridge, UK: Cambridge University Press.
CrossRef
MATH
Google Scholar
Ertugrul, A. M., Lin, Y.-R., Chung, M. T., Yan, M., & Li, A. (2019). Activism via attention: Interpretable spatiotemporal learning to forecast protest activities. EPJ Data Science, 8, 5. https://doi.org/10.1140/epjds/s13688-019-0183-y.
CrossRef
Google Scholar
Ginsberg, J., et al. (2009). Detecting influenza epidemics using search engine query data. Nature, 457, 1012–1014.
CrossRef
Google Scholar
Girvan, M., & Newman, M. E. J. (2002). Community structure in social and biological networks. Proceedings of National Academy Science, 99(12), 7821–7826.
CrossRef
MathSciNet
MATH
Google Scholar
Golbeck, J., & Hansen, D. (2014). A method for computing political preference among Twitter followers. Social Networks, 36, 177–184.
CrossRef
Google Scholar
Goncalves, B., & Perra, N. (Eds.). (2015). Social phenomena: From data analysis to models (Computational social sciences). Cham: Springer.
Google Scholar
Goodwin, S. A., Gubin, A., Fiske, S. T., & Yzerbyt, V. Y. (2000). Power can bias impression processes: Stereotyping: Subordinates by default and by design. Group Processes Intergroup Relations, 3, 227–256.
CrossRef
Google Scholar
Granovetter, M. S. (1978). Threshold models of collective behavior. American Journal of Sociology, 78(6), 1420–1443.
CrossRef
Google Scholar
Gudykunst, W. B. (1995). Anxiety/uncertainty management theory. In R. Wiseman (Ed.), Intercultural communication theory. Thousand Oaks, CA: SAGE.
Google Scholar
Habermas, J. (1991). The structural transformation of the public sphere. Cambridge, MA: MIT Press.
Google Scholar
Hayek, F. A. (1945). The use of knowledge in society. The American Economic Review, 35(4), 519–530.
Google Scholar
He, X., & Lin, Y.-R. (2017). Measuring and monitoring collective attention during shocking events. EPJ Data Science, 6, 30. https://doi.org/10.1140/epjds/s13688-017-0126-4.
CrossRef
Google Scholar
Hegselmann, R., & Krause, U. (2002). Opinion dynamics and bounded confidence: Models, analysis and simulation. Journal of Artificial Social Simulation, 5, 3. http://jasss.soc.surrey.ac.uk/5/3/2.html.
Google Scholar
Helbing, D. (2012). Social self-organization. Cham: Springer.
CrossRef
Google Scholar
Hendricks, V. F., & Vestergaard, M. (Eds.). (2018). Reality lost: Markets of attention, misinformation and manipulation. Cham: Springer.
Google Scholar
Hill, K. A., & Hughes, J. E. (1998). Cyberpolitics: Citizen activism in the age of the internet. Lanham, ML: Rowman & Littlefield Publishers.
Google Scholar
Hoshen, J., & Kopelman, R. (1976). Percolation and cluster distribution. I. Cluster multiple labeling technique and critical concentration algorithm. Physical Review B, 14, 3438.
CrossRef
Google Scholar
Howard, D., et al. (2019). Evolving embodied intelligence from materials to machines. Nature Machine Intelligence, 1, 12–19.
CrossRef
Google Scholar
Huckfeldt, R., et al. (2014). Noise, bias, and expertise in political communication networks. Social Networks, 36, 110–121.
CrossRef
Google Scholar
Johansson, M., & Jäntti, R. (2011). Wireless networking for control: Technologies and models. In Networked control systems (Vol. 406, pp. 31–74). London: Springer.
CrossRef
MATH
Google Scholar
Johnson, N. F., et al. (2019). Hidden resilience and adaptive dynamics of the global online hate ecology. Nature. https://doi.org/10.1038/s41586-019-1494-7.
Jordan, T. (2001). Language and libertarianism: The politics of cyberculture and the culture of cyberpolitics. The Sociological Review, 49(1), 1–17.
CrossRef
MathSciNet
Google Scholar
Jost, J. T., et al. (2018). How social media facilitates political protest: Information, motivation, and social network. Advances in Political Psychology, 39(1), 85–118.
CrossRef
Google Scholar
Katz, M. L., & Shapiro, C. (1985). Network externalities, competition and compatibility. The American Economic Review, 75(3), 424–444.
Google Scholar
Kozma, B., & Barrat, A. (2008). Consensus formation on adaptive networks. Physical Review, E, 77, 016102.
CrossRef
Google Scholar
Lamont, M., et al. (2017). Trump’s electoral speeches and his appeal to the American white working class. The British Journal of Sociology, 68(S1), S153–S180. https://doi.org/10.1111/1468-4446.12315.
CrossRef
Google Scholar
Le Bonn, G. (1931a). The crowd: Study of the popular mind. iBook version. (Apple iBook Store).
Google Scholar
Le Bonn, G. (1931b). The psychology of revolution. iBook version. (Apple iBook Store).
Google Scholar
Lee, J., & Oh, J. J. (2018). What motivates a citizen to take the initiative in e-participation?: The case of a south Korean parliamentary hearing. Communications of the ACM, 61(12), 56–61.
CrossRef
Google Scholar
Li, J., Vishwanath, A., & Rao, H. R. (2014). Retweeting the Fukushima nuclear radiation disaster. Communication of the ACM, 57(1), 78–85.
CrossRef
Google Scholar
Lippmann, W. (1922). Public opinion. San Diego, CA: Harcourt Brace and Company.
Google Scholar
MacCoun, R. J. (2012). The burden of social proof: Shared thresholds and social influence. Psychological Review, 119(2), 345–372.
CrossRef
Google Scholar
Mackie, D. M., & Skelly, J. J. (1994). The social cognition analysis of social influence: Contributions to the understanding of persuasion and conformity. In P. G. Devine, D. L. Hamilton, & T. M. Ostrom (Eds.), Social cognition: Impact on social psychology. Cambridge, MA: Academic.
Google Scholar
Malarz, K., & Galam, M. (2005). Square-lattice site percolation at increasing ranges of neighbor bonds. Physical Review E, 71, 016125.
CrossRef
Google Scholar
Malinick, T. E., et al. (2013). Network centrality and social movement media coverage: A two-mode network analytic approach. Social Networks, 35, 148–158.
CrossRef
Google Scholar
Massimo, T., & Christophe, C. (Eds.). (2017). Handbook of biometrics for forensic science. Cham: Springer.
Google Scholar
Mendoza, M., Poblete, B., & Valderrama, I. (2019). Nowcasting earthquake damages with Twitter. EPJ Data Science, 8, 3. https://epjdatascience.springeropen.com/track/pdf/10.1140/epjds/s13688-019-0181-0.
CrossRef
Google Scholar
Morgenthau, H. J. (1978). Politics among nations: The struggle for power and peace. New York: Knopf.
Google Scholar
Nash, R., et al. (2013). Investigating in people: The role of social networks in the diffusion of a large-scale fraud. Social Networks, 35(4), 686–698.
CrossRef
Google Scholar
Newman, M. E. J. (2010). Networks: An introduction. Oxford, UK: Oxford University Press.
CrossRef
MATH
Google Scholar
Newman, M. E. J., & Park, J. (2003). Why social networks are different from other types of networks. Physical Review E, 68, 036122.
CrossRef
Google Scholar
Newman, M. E. J., & Ziff, R. M. (2001). Fast Monte Carlo algorithm for site or bond percolation. Physical Review E, 64, 016706.
CrossRef
Google Scholar
Nielsen, R. K., & Graves, L. (2017). “News you don’t believe”: Audience perspective on fake news. Reuters Institute Fact Sheet (October 2017).
Google Scholar
Nowak, M. A. (2006). Five rules for the evolution of cooperation. Science, 314(5805), 1560–1563.
CrossRef
Google Scholar
Nowak, M. A., & Sigmund, K. (2005). Evolution of indirect reciprocity. Nature, 43(7), 1291–1298.
CrossRef
Google Scholar
O’Sullivan, D., & Perry, G. L. W. (2013). Spatial simulation: Exploring pattern and process. Hoboken, NJ: Wiley-Blackwell.
CrossRef
Google Scholar
OECD/NEA. (2016). Five years after the Fukushima Daiichi accident: Nuclear safety improvements and lessons learnt. https://www.oecd-nea.org/nsd/pubs/2016/7284-five-years-fukushima.pdf
Olson, M. (1971). The logic of collective action: Public goods and the theory of groups. Cambridge, MA: Harvard University Press.
Google Scholar
Operario, D., Goodwin, S. A., & Fiske, S. T. (1998). Power is everywhere. In R. S. Wyer Jr. (Ed.), Stereotype activation and inhibition. Boca Raton, FL: LEA.
Google Scholar
Papacharissi, Z. (2010). A networked self: Identity, community, and culture on social network sites. Abingdon, UK: Routledge.
CrossRef
Google Scholar
Pentland, A. (2014). Social physics. London: Penguin Press.
Google Scholar
Pew Research Center. (2017). News use across social media platforms 2017. http://assets.pewresearch.org/wp-content/uploads/sites/13/2017/09/13163032/PJ_17.08.23_socialMediaUpdate_FINAL.pdf
Popper, K. (1963). Conjectures and refutations. Abingdon, UK: Routledge.
Google Scholar
Rohlinger, D. A., & Snow, D. A. (2003). Social psychological perspectives on crowds and social movement. In J. Delamater (Ed.), Handbook of social psychology. Dordrecht: Kluwer Academic.
Google Scholar
Sadiki, L. (2015). Routledge handbook of the Arab Spring: Rethinking democratization. Abingdon, UK: Routledge.
Google Scholar
Science Council of Japan (SCJ). (2011). Report to the foreign academies from science council of Japan on the Fukushima Daiichi Nuclear Power Plant accident. http://www.scj.go.jp/en/report/houkoku-110502-7.pdf
Searle, J. R. (1996). The construction of social reality. London: Penguin Press.
Google Scholar
Shao, C., Ciampaglia, G. L., Varol, O., Yang, K.-C., Flammini, A., & Menczer, F. (2018). The spread of low-credibility content by social bots. Nature Communications, 9, 4787.
CrossRef
Google Scholar
Shi, F., Teplitskiy, M., Duede, E., & Evans, J. A. (2019). The wisdom of polarized crowds. Nature Human Behaviour, 3, 329–336.
CrossRef
Google Scholar
Shibuya, K. (2004). A framework of multi-agent based modeling, simulation and computational assistance in an ubiquitous environment. Simulation, 80(7–8), 367–380.
CrossRef
Google Scholar
Shibuya, K. (2012). A study on participatory support networking by voluntary citizens-the lessons from the Tohoku earthquake disaster. Oukan, 6(2), 79–86. (in Japanese).
Google Scholar
Shibuya, K. (2017a). Bridging between cyber politics and collective dynamics of social movement. In M. Khosrow-Pour (Ed.), Encyclopedia of information science and technology (4th ed., pp. 3538–3548). (Chapter 307), IGI Global.
Google Scholar
Shibuya, K. (2017b). An exploring study on networked market disruption and resilience. KAKENHI report (no. 26590105), pp. 1–200 (in Japanese).
Google Scholar
Shibuya, K. (2018). A design of Fukushima simulation. The society for risk analysis: Asia conference 2018, Japan.
Google Scholar
Shibuya, K. (2021). Breaking fake news and verifying truth. In Mehdi Khosrow-Pour (Ed.) Encyclopedia of organizational knowledge, administration, and technologies (1st Ed.), IGI Global (in press).
Google Scholar
Skibski, O., Rahwan, T., Michalak, T. P., & Yokoo, M. (2019). Attachment centrality: Measure for connectivity in networks. Artificial Intelligence, 274, 151–179.
CrossRef
MathSciNet
MATH
Google Scholar
Smelser, N. J. (1962). Theory of collective behavior. New York: The Free Press.
Google Scholar
Stovel, K., & Fountain, C. (2009). Matching. In P. Hedström & P. Bearman (Eds.), Oxford handbook of analytical sociology. Oxford, UK: Oxford University Press.
Google Scholar
Strogatz, S. (2000). From Kuramoto to Crawford: Exploring the onset of synchronization in populations of coupled oscillators. Physica D, 143, 1–20.
CrossRef
MathSciNet
MATH
Google Scholar
Sunstein, C. R. (2001). Republic.com. Princeton, NJ: Princeton University Press.
Google Scholar
Tistarelli, M., Li, S. Z., & Chellappa, R. (Eds.). (2009). Handbook of remote biometrics: For surveillance and security. London: Springer.
Google Scholar
Topçu, S. (2013). La France nucléaire: L’art de gouverner une technologie contestée. Paris: Le Seuil.
CrossRef
Google Scholar
Viviani, P., & Pasi, G. (2017). Credibility in social media: Opinions, news, and health information-a survey. WIREs Data Mining and Knowledge Discovery, 7, e1209. https://doi.org/10.1002/widm.1209.
CrossRef
Google Scholar
Vosoughi, S., et al. (2018). The spread of true and false online. Science, 359, 1146–1151.
CrossRef
Google Scholar
Wang, L., & Graddy, E. (2008). Social capital, volunteering, and charitable giving. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 19(1), 23–42.
CrossRef
Google Scholar
Wang, Y., et al. (2017). To follow or not to follow: Analyzing the growth patterns of the Trumpists on Twitter. https://arxiv.org/pdf/1603.08174
Wasserman, S., & Faust, K. (1994). Social network analysis. Cambridge, UK: Cambridge University Press.
CrossRef
MATH
Google Scholar
Watts, D. J., & Dodds, P. S. (2007). Influentials, networks, and public opinion formation. Journal of Consumer Research, 34(4), 441–458. http://www.uvm.edu/pdodds/teaching/courses/2009-08UVM-300/docs/others/2007/watts2007a.pdf.
CrossRef
Google Scholar
Weinberger, S. (2011). Web of war. Nature, 471, 566–568.
CrossRef
Google Scholar
Widener, W. J., et al. (2013). Simulating the effects of social networks on a population’s hurricane evacuation participation. Journal of Geographical Systems, 15(2), 193–209.
CrossRef
Google Scholar
Wilson, J. (2000). Volunteering. Annual Review of Sociology, 26, 215–240.
CrossRef
Google Scholar
Wittgenstein, L. (1922). Tractatus Logico-philosophicus. San Diego, CA: Harcourt, Brace.
MATH
Google Scholar
Yang, X. (2011). Urban remote sensing: Monitoring, synthesis and modeling in the urban environment. Hoboken, NJ: Wiley.
CrossRef
Google Scholar
Yoshino, R., Nikaido, D., & Fujita, T. (2009). Cultural manifold analysis (CULMAN) of national character: Paradigm of cross-cultural survey. Behaviormetrika, 36(2), 89–114.
CrossRef
Google Scholar
Zhao, S., Grasmuck, S., & Martin, J. (2013). Identity construction on Facebook: Digital empowerment in anchored relationships. Computers in Human Behavior, 24(5), 1816–1836.
CrossRef
Google Scholar