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Analyzing Information Dissemination on Social Networks |
Zhang Ling1(), Luo Manman1, Zhu Lijun2 |
1(School of Management, Wuhan University of Science and Technology, Wuhan 430081, China) 2(Institute of Scientific and Technical Information of China, Beijing 100038, China) |
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Abstract [Objective] This study analyzes the dissemination of marketing information on social network systems, aiming to identify the most influential nodes. [Methods] We collected Twitter data on Huawei Mate 9 smartphone to analyze users’ information behaviors like tweeting, retweeting and commenting. First, the network topology was described as topology structure diagram; Second, we examined scales of the network; Finally, we used independent cascade model (ICM) to simulate information dissemination. [Results] We found that initial active nodes selection based on the new measurements performed well. [Limitations] The parameters of ICM could be optimized. [Conclusions] The enterprises should pay attention to both official and accidental nodes to retrieve feedback from the market.
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Received: 07 September 2017
Published: 07 March 2018
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