Abstract
The advancement in the speed of the internet connection on handheld devices has led to an increase in the usage of social media. This drew the attention of advertisers to use social media as a platform to promote their products thus leading to an increase in the sales of their product, increasing the brand awareness. To increase the rate of information dissemination within a short period of time, influential users on social media were targeted, who would act as the word-of-mouth advertisers of the product. However, there are various parameters on which the influence of a user has to be determined. The parameters can be (1) the connectivity of the user in the network (2) knowledge/interest of the user on a particular topic/product/content (3) activity of the user on the social media. This survey focuses on the various methods and models for identifying influential nodes and also the effect of compliance, where a user falsely agrees to the content of another influential user by retweeting, just to gain status or reputation and thus increasing his influential score. Thus, the list of influential nodes of a social network can be faked upon, due to this issue.
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Krishna, R., Prashanth, C.M. (2020). Identifying Influential Users on Social Network: An Insight. In: Sharma, N., Chakrabarti, A., Balas, V. (eds) Data Management, Analytics and Innovation. Advances in Intelligent Systems and Computing, vol 1042. Springer, Singapore. https://doi.org/10.1007/978-981-32-9949-8_34
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DOI: https://doi.org/10.1007/978-981-32-9949-8_34
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