Competition among memes in a world with limited attention

被引:323
作者
Weng, L. [1 ]
Flammini, A. [1 ]
Vespignani, A. [2 ,3 ,4 ,5 ]
Menczer, F. [1 ]
机构
[1] Indiana Univ, Ctr Complex Networks & Syst, Res Sch Informat & Comp, Bloomington, IN 47405 USA
[2] Northeastern Univ, Coll Comp & Informat Sci, Boston, MA 02115 USA
[3] Northeastern Univ, Dept Phys, Dept Hlth Sci, Boston, MA 02115 USA
[4] Harvard Univ, Inst Quantitat Social Sci, Cambridge, MA 02138 USA
[5] ISI, Turin, Italy
基金
美国国家科学基金会;
关键词
D O I
10.1038/srep00335
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The wide adoption of social media has increased the competition among ideas for our finite attention. We employ a parsimonious agent-based model to study whether such a competition may affect the popularity of different memes, the diversity of information we are exposed to, and the fading of our collective interests for specific topics. Agents share messages on a social network but can only pay attention to a portion of the information they receive. In the emerging dynamics of information diffusion, a few memes go viral while most do not. The predictions of our model are consistent with empirical data from Twitter, a popular microblogging platform. Surprisingly, we can explain the massive heterogeneity in the popularity and persistence of memes as deriving from a combination of the competition for our limited attention and the structure of the social network, without the need to assume different intrinsic values among ideas.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 45 条
[1]  
[Anonymous], 1989, The Selfish Gene
[2]  
[Anonymous], 2006, Wikinomics: How Mass Collaboration Changes Everything
[3]  
[Anonymous], 2011, WWW, DOI DOI 10.1145/1963405.1963503
[4]   Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks [J].
Aral, Sinan ;
Muchnik, Lev ;
Sundararajan, Arun .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (51) :21544-21549
[5]  
Asur S., 2011, 5 INT AAAI C WEBLOGS
[6]  
Bailey N. T. J., 1975, The Mathematical Theory of Infectious Diseases and Its Applications, V2nd
[7]  
Bakshy E., 2011, WSDM, P65, DOI DOI 10.1145/1935826.1935845
[8]   The origin of bursts and heavy tails in human dynamics [J].
Barabási, AL .
NATURE, 2005, 435 (7039) :207-211
[9]   Semiotic dynamics and collaborative tagging [J].
Cattuto, Ciro ;
Loreto, Vittorio ;
Pietronero, Luciano .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (05) :1461-1464
[10]   Power-Law Distributions in Empirical Data [J].
Clauset, Aaron ;
Shalizi, Cosma Rohilla ;
Newman, M. E. J. .
SIAM REVIEW, 2009, 51 (04) :661-703