Zobrazeno 41 - 50
of 335
pro vyhledávání: '"Flammini, Alessandro"'
Publikováno v:
Proc. Natl. Acad. Sci. USA 112, 7426-7431 (2015)
A Sleeping Beauty (SB) in science refers to a paper whose importance is not recognized for several years after publication. Its citation history exhibits a long hibernation period followed by a sudden spike of popularity. Previous studies suggest a r
Externí odkaz:
http://arxiv.org/abs/1505.06454
Granovetter's weak tie theory of social networks is built around two central hypotheses. The first states that strong social ties carry the large majority of interaction events; the second maintains that weak social ties, although less active, are of
Externí odkaz:
http://arxiv.org/abs/1505.02399
Social media have quickly become a prevalent channel to access information, spread ideas, and influence opinions. However, it has been suggested that social and algorithmic filtering may cause exposure to less diverse points of view, and even foster
Externí odkaz:
http://arxiv.org/abs/1502.07162
Publikováno v:
Proceedings of the 2015 ACM on Conference on Online Social Networks (pp. 3-13). ACM. 2015
Information extracted from social media streams has been leveraged to forecast the outcome of a large number of real-world events, from political elections to stock market fluctuations. An increasing amount of studies demonstrates how the analysis of
Externí odkaz:
http://arxiv.org/abs/1502.05886
Autor:
Ciampaglia, Giovanni Luca, Shiralkar, Prashant, Rocha, Luis M., Bollen, Johan, Menczer, Filippo, Flammini, Alessandro
Traditional fact checking by expert journalists cannot keep up with the enormous volume of information that is now generated online. Computational fact checking may significantly enhance our ability to evaluate the veracity of dubious information. He
Externí odkaz:
http://arxiv.org/abs/1501.03471
Publikováno v:
Journal of Informetrics 9 (2015), pp. 800-808
Citation metrics are becoming pervasive in the quantitative evaluation of scholars, journals and institutions. More then ever before, hiring, promotion, and funding decisions rely on a variety of impact metrics that cannot disentangle quality from qu
Externí odkaz:
http://arxiv.org/abs/1411.7357
Publikováno v:
Social Network Analysis and Mining, 4(1), 1-13. 2014
The problem of clustering content in social media has pervasive applications, including the identification of discussion topics, event detection, and content recommendation. Here we describe a streaming framework for online detection and clustering o
Externí odkaz:
http://arxiv.org/abs/1411.0652
Online traces of human activity offer novel opportunities to study the dynamics of complex knowledge exchange networks, and in particular how the relationship between demand and supply of information is mediated by competition for our limited individ
Externí odkaz:
http://arxiv.org/abs/1409.4450
Publikováno v:
Communications of the ACM 59 (7), 96-104, 2016
The Turing test aimed to recognize the behavior of a human from that of a computer algorithm. Such challenge is more relevant than ever in today's social media context, where limited attention and technology constrain the expressive power of humans,
Externí odkaz:
http://arxiv.org/abs/1407.5225
Publikováno v:
Proceedings of the 2014 ACM conference on Web science, Pages 81-90
Social media represent powerful tools of mass communication and information diffusion. They played a pivotal role during recent social uprisings and political mobilizations across the world. Here we present a study of the Gezi Park movement in Turkey
Externí odkaz:
http://arxiv.org/abs/1406.7197