Lifespan and propagation of information in On-line Social Networks a Case Study
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Abstract (arXiv)
Since 1950, information flows have been in the centre of scientific research. Up until internet penetration in the late 90s, these studies were based over traditional offline social networks. Several observations in offline information flows studies, such as two-step flow of communication and the importance of weak ties, were verified in several online studies, showing that the diffused information flows from one Online Social Network (OSN) to several others. Within that flow, information is shared to and reproduced by the users of each network. Furthermore, the original content is enhanced or weakened according to its topic, the dynamic and exposure of each OSNs. In such a concept, each OSN is considered a layer of information flows that interacts with each other. In this paper, we examine such flows in several social networks, as well as their diffusion and lifespan across multiple OSNs, in terms of user-generated content. Our results verify the perception of content and information connection in various OSNs.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Mar 2014.
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Citing papers per year: 2021: 2; 2022: 2.
4 papers.
- 20223MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videoscited by 8
- 2021Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Priorcited by 5
- 2022Multivariate Powered Dirichlet Hawkes Processcited by 1
- 2021SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?cited by 0
- 2022Multivariate Powered Dirichlet Hawkes Process12 Dec 2022
- 20223MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos28 Mar 2022
- 2021Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior15 Sep 2021
- 2021SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?22 May 2021