000070619 001__ 70619
000070619 005__ 20200221144339.0
000070619 0247_ $$2doi$$a10.1126/sciadv.1501158
000070619 0248_ $$2sideral$$a106075
000070619 037__ $$aART-2016-106075
000070619 041__ $$aeng
000070619 100__ $$aBorge-Holthoefer, J.
000070619 245__ $$aThe dynamics of information-driven coordination phenomena: A transfer entropy analysis
000070619 260__ $$c2016
000070619 5060_ $$aAccess copy available to the general public$$fUnrestricted
000070619 5203_ $$aData from social media provide unprecedented opportunities to investigate the processes that govern the dynamics of collective social phenomena. We consider an information theoretical approach to define and measure the temporal and structural signatures typical of collective social events as they arise and gain prominence. We use the symbolic transfer entropy analysis of microblogging time series to extract directed networks of influence among geolocalized subunits in social systems. This methodology captures the emergence of system-level dynamics close to the onset of socially relevant collective phenomena. The framework is validated against a detailed empirical analysis of five case studies. In particular, we identify a change in the characteristic time scale of the information transfer that flags the onset of information-driven collective phenomena. Furthermore, our approach identifies an order-disorder transition in the directed network of influence between social subunits. In the absence of clear exogenous driving, social collective phenomena can be represented as endogenously driven structural transitions of the information transfer network. This study provides results that can help define models and predictive algorithms for the analysis of societal events based on open source data.
000070619 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/FIS2011-25167$$9info:eu-repo/grantAgreement/EC/FP7/317532/EU/Foundational Research on MULTIlevel comPLEX networks and systems/MULTIPLEX$$9info:eu-repo/grantAgreement/ES/DGA/FENOL-GROUP
000070619 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttp://creativecommons.org/licenses/by-nc/3.0/es/
000070619 592__ $$a4.8$$b2016
000070619 593__ $$aMedicine (miscellaneous)$$c2016$$dQ1
000070619 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000070619 700__ $$aPerra, N.
000070619 700__ $$aGoncalves, B.
000070619 700__ $$aGonzalez-Bailon, S.
000070619 700__ $$aArenas, A.
000070619 700__ $$0(orcid)0000-0002-0895-1893$$aMoreno, Y.$$uUniversidad de Zaragoza
000070619 700__ $$aVespignani, A.
000070619 7102_ $$12004$$2405$$aUniversidad de Zaragoza$$bDpto. Física Teórica$$cÁrea Física Teórica
000070619 773__ $$g2, 4 (2016), e1501158 [9 pp]$$pSci. Adv.$$tScience Advances$$x2375-2548
000070619 8564_ $$s412099$$uhttps://zaguan.unizar.es/record/70619/files/texto_completo.pdf$$yVersión publicada
000070619 8564_ $$s133809$$uhttps://zaguan.unizar.es/record/70619/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000070619 909CO $$ooai:zaguan.unizar.es:70619$$particulos$$pdriver
000070619 951__ $$a2020-02-21-13:48:56
000070619 980__ $$aARTICLE