Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena
Online social media has greatly affected the way in which we communicate with each other. However, little is known about what fundamental mechanisms drive dynamical information flow in online social systems. Here, we introduce a generative model for online sharing behavior that is analytically tract...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Physical Society
2016-05-01
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| Series: | Physical Review X |
| Online Access: | http://doi.org/10.1103/PhysRevX.6.021019 |
| _version_ | 1818723471265366016 |
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| author | James P. Gleeson Kevin P. O’Sullivan Raquel A. Baños Yamir Moreno |
| author_facet | James P. Gleeson Kevin P. O’Sullivan Raquel A. Baños Yamir Moreno |
| author_sort | James P. Gleeson |
| collection | DOAJ |
| description | Online social media has greatly affected the way in which we communicate with each other. However, little is known about what fundamental mechanisms drive dynamical information flow in online social systems. Here, we introduce a generative model for online sharing behavior that is analytically tractable and that can reproduce several characteristics of empirical micro-blogging data on hashtag usage, such as (time-dependent) heavy-tailed distributions of meme popularity. The presented framework constitutes a null model for social spreading phenomena that, in contrast to purely empirical studies or simulation-based models, clearly distinguishes the roles of two distinct factors affecting meme popularity: the memory time of users and the connectivity structure of the social network. |
| first_indexed | 2024-12-17T21:11:03Z |
| format | Article |
| id | doaj.art-8dc976da032f4c18a3ddc9af1394f20a |
| institution | Directory Open Access Journal |
| issn | 2160-3308 |
| language | English |
| last_indexed | 2024-12-17T21:11:03Z |
| publishDate | 2016-05-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review X |
| spelling | doaj.art-8dc976da032f4c18a3ddc9af1394f20a2022-12-21T21:32:28ZengAmerican Physical SocietyPhysical Review X2160-33082016-05-016202101910.1103/PhysRevX.6.021019Effects of Network Structure, Competition and Memory Time on Social Spreading PhenomenaJames P. GleesonKevin P. O’SullivanRaquel A. BañosYamir MorenoOnline social media has greatly affected the way in which we communicate with each other. However, little is known about what fundamental mechanisms drive dynamical information flow in online social systems. Here, we introduce a generative model for online sharing behavior that is analytically tractable and that can reproduce several characteristics of empirical micro-blogging data on hashtag usage, such as (time-dependent) heavy-tailed distributions of meme popularity. The presented framework constitutes a null model for social spreading phenomena that, in contrast to purely empirical studies or simulation-based models, clearly distinguishes the roles of two distinct factors affecting meme popularity: the memory time of users and the connectivity structure of the social network.http://doi.org/10.1103/PhysRevX.6.021019 |
| spellingShingle | James P. Gleeson Kevin P. O’Sullivan Raquel A. Baños Yamir Moreno Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena Physical Review X |
| title | Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena |
| title_full | Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena |
| title_fullStr | Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena |
| title_full_unstemmed | Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena |
| title_short | Effects of Network Structure, Competition and Memory Time on Social Spreading Phenomena |
| title_sort | effects of network structure competition and memory time on social spreading phenomena |
| url | http://doi.org/10.1103/PhysRevX.6.021019 |
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