Literature DB >> 22461971

Competition among memes in a world with limited attention.

L Weng, A Flammini, A Vespignani, F Menczer.   

Abstract

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.

Entities:  

Year:  2012        PMID: 22461971      PMCID: PMC3315179          DOI: 10.1038/srep00335

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  15 in total

1.  GENERALIZATION OF EPIDEMIC THEORY. AN APPLICATION TO THE TRANSMISSION OF IDEAS.

Authors:  W GOFFMAN; V A NEWILL
Journal:  Nature       Date:  1964-10-17       Impact factor: 49.962

2.  EPIDEMICS AND RUMOURS.

Authors:  D J DALEY; D G KENDALL
Journal:  Nature       Date:  1964-12-12       Impact factor: 49.962

3.  Spontaneous emergence of social influence in online systems.

Authors:  Jukka-Pekka Onnela; Felix Reed-Tsochas
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

4.  A simple model of global cascades on random networks.

Authors:  Duncan J Watts
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

5.  Semiotic dynamics and collaborative tagging.

Authors:  Ciro Cattuto; Vittorio Loreto; Luciano Pietronero
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-23       Impact factor: 11.205

6.  Predicting the behavior of techno-social systems.

Authors:  Alessandro Vespignani
Journal:  Science       Date:  2009-07-24       Impact factor: 47.728

7.  Robust dynamic classes revealed by measuring the response function of a social system.

Authors:  Riley Crane; Didier Sornette
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-29       Impact factor: 11.205

8.  Characterizing and modeling the dynamics of online popularity.

Authors:  Jacob Ratkiewicz; Santo Fortunato; Alessandro Flammini; Filippo Menczer; Alessandro Vespignani
Journal:  Phys Rev Lett       Date:  2010-10-08       Impact factor: 9.161

9.  A minimal model for multiple epidemics and immunity spreading.

Authors:  Kim Sneppen; Ala Trusina; Mogens H Jensen; Stefan Bornholdt
Journal:  PLoS One       Date:  2010-10-18       Impact factor: 3.240

10.  Social science. Computational social science.

Authors:  David Lazer; Alex Pentland; Lada Adamic; Sinan Aral; Albert-Laszlo Barabasi; Devon Brewer; Nicholas Christakis; Noshir Contractor; James Fowler; Myron Gutmann; Tony Jebara; Gary King; Michael Macy; Deb Roy; Marshall Van Alstyne
Journal:  Science       Date:  2009-02-06       Impact factor: 47.728

View more
  64 in total

1.  Consensus and polarization in competing complex contagion processes.

Authors:  Vítor V Vasconcelos; Simon A Levin; Flávio L Pinheiro
Journal:  J R Soc Interface       Date:  2019-06-19       Impact factor: 4.118

2.  Cross-correlations of American baby names.

Authors:  Paolo Barucca; Jacopo Rocchi; Enzo Marinari; Giorgio Parisi; Federico Ricci-Tersenghi
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-11       Impact factor: 11.205

Review 3.  Coevolution spreading in complex networks.

Authors:  Wei Wang; Quan-Hui Liu; Junhao Liang; Yanqing Hu; Tao Zhou
Journal:  Phys Rep       Date:  2019-07-29       Impact factor: 25.600

4.  Strategic disinformation outperforms honesty in competition for social influence.

Authors:  Ralf H J M Kurvers; Uri Hertz; Jurgis Karpus; Marta P Balode; Bertrand Jayles; Ken Binmore; Bahador Bahrami
Journal:  iScience       Date:  2021-11-27

5.  A Model-Free Scheme for Meme Ranking in Social Media.

Authors:  Saike He; Xiaolong Zheng; Daniel Zeng
Journal:  Decis Support Syst       Date:  2015-10-13       Impact factor: 5.795

6.  Complex social contagion makes networks more vulnerable to disease outbreaks.

Authors:  Ellsworth Campbell; Marcel Salathé
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

7.  Quantifying collective attention from tweet stream.

Authors:  Kazutoshi Sasahara; Yoshito Hirata; Masashi Toyoda; Masaru Kitsuregawa; Kazuyuki Aihara
Journal:  PLoS One       Date:  2013-04-30       Impact factor: 3.240

8.  The digital evolution of occupy wall street.

Authors:  Michael D Conover; Emilio Ferrara; Filippo Menczer; Alessandro Flammini
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

9.  Virality prediction and community structure in social networks.

Authors:  Lilian Weng; Filippo Menczer; Yong-Yeol Ahn
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

10.  The geospatial characteristics of a social movement communication network.

Authors:  Michael D Conover; Clayton Davis; Emilio Ferrara; Karissa McKelvey; Filippo Menczer; Alessandro Flammini
Journal:  PLoS One       Date:  2013-03-06       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.