%0 Journal Article %1 BorgeHolthoefer2012Locating %A Borge-Holthoefer, Javier %A Rivero, Alejandro %A Moreno, Yamir %D 2012 %I American Physical Society %J Physical Review E %K twitter social-networks influence information-diffusion %N 6 %P 066123+ %R 10.1103/physreve.85.066123 %T Locating privileged spreaders on an online social network %U http://dx.doi.org/10.1103/physreve.85.066123 %V 85 %X Social media have provided plentiful evidence of their capacity for information diffusion. Fads and rumors but also social unrest and riots travel fast and affect large fractions of the population participating in online social networks (OSNs). This has spurred much research regarding the mechanisms that underlie social contagion, and also who (if any) can unleash system-wide information dissemination. Access to real data, both regarding topology—the network of friendships—and dynamics—the actual way in which OSNs users interact, is crucial to decipher how the former facilitates the latter's success, understood as efficiency in information spreading. With the quantitative analysis that stems from complex network theory, we discuss who (and why) has privileged spreading capabilities when it comes to information diffusion. This is done considering the evolution of an episode of political protest which took place in Spain, spanning one month in 2011.

@article{BorgeHolthoefer2012Locating, abstract = {{Social media have provided plentiful evidence of their capacity for information diffusion. Fads and rumors but also social unrest and riots travel fast and affect large fractions of the population participating in online social networks (OSNs). This has spurred much research regarding the mechanisms that underlie social contagion, and also who (if any) can unleash system-wide information dissemination. Access to real data, both regarding topology—the network of friendships—and dynamics—the actual way in which OSNs users interact, is crucial to decipher how the former facilitates the latter's success, understood as efficiency in information spreading. With the quantitative analysis that stems from complex network theory, we discuss who (and why) has privileged spreading capabilities when it comes to information diffusion. This is done considering the evolution of an episode of political protest which took place in Spain, spanning one month in 2011.}}, added-at = {2019-06-10T14:53:09.000+0200}, author = {Borge-Holthoefer, Javier and Rivero, Alejandro and Moreno, Yamir}, biburl = {https://www.bibsonomy.org/bibtex/217e5e75f89f9f945dc1161699844e966/nonancourt}, citeulike-article-id = {10827361}, citeulike-linkout-0 = {http://dx.doi.org/10.1103/physreve.85.066123}, citeulike-linkout-1 = {http://link.aps.org/abstract/PRE/v85/i6/e066123}, citeulike-linkout-2 = {http://link.aps.org/pdf/PRE/v85/i6/e066123}, doi = {10.1103/physreve.85.066123}, interhash = {0a38724fd07421491ef7e48f5d389948}, intrahash = {17e5e75f89f9f945dc1161699844e966}, issn = {1539-3755}, journal = {Physical Review E}, keywords = {twitter social-networks influence information-diffusion}, month = jun, number = 6, pages = {066123+}, posted-at = {2012-11-06 16:27:57}, priority = {2}, publisher = {American Physical Society}, timestamp = {2019-07-31T12:36:13.000+0200}, title = {{Locating privileged spreaders on an online social network}}, url = {http://dx.doi.org/10.1103/physreve.85.066123}, volume = 85, year = 2012 }