Study on Information Diffusion in Online Social Network
Advances in Intelligent Systems and Computing, ISSN: 2194-5365, Vol: 1255, Page: 279-288
2021
- 8Citations
- 19Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
Nowadays, Online Social Network (OSN) is very trendy in business, politics, and health care. This one can have the wider range of accessibility of information diffusion. The Online Social Network (OSN) is very significant as it provides interaction platform to the users across the globe. The impact joins both human attributes alongside community relationships. There are a group of individuals who has very strong connections to a range of social networks. These networks are capable of forwarding more information. So, it gives much better performance for single connection rather than multiple connections within a single network. Social influence plays a very important role in information diffusion. That’s why information diffusion is the methodology where information transmits through certain target nodes over time among them. In this paper, some methodologies related to information diffusion, features, and limitations have been discussed. Delivering a detailed analysis, giving thoughtful social activities, and providing user’s views are the main goals of this paper.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85097622878&origin=inward; http://dx.doi.org/10.1007/978-981-15-7834-2_26; https://link.springer.com/10.1007/978-981-15-7834-2_26; https://dx.doi.org/10.1007/978-981-15-7834-2_26; https://link.springer.com/chapter/10.1007/978-981-15-7834-2_26
Springer Science and Business Media LLC
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