New method to measure the influence of Twitter users

被引：5
作者：
Essaidi, Abdessamad [1 ]
Zaidouni, Dounia [1 ]
Bellafkih, Mostafa [1 ]
机构：
[1] INPT, RAI2S, Rabat, Morocco
来源：
2020 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS) | 2020年
关键词：
Twitter; Influence scoring; Retweet; Followers; Sentiment analysis;
D O I：
10.1109/icds50568.2020.9268726
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Influence is one of the most studied concepts in social network analysis. Through influence marketing on social networks, we can measure influence by calculating the number of followers of an influencer, then the number of retweets made by these followers. In this work, we propose a hierarchical framework to identify sentiment influencers, and we present a new method to measure the influence of Twitter users based on Retweet. Finally, we use several comparisons to other ranking systems to show highly influential and recognizable users.
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收藏
页数：5
相关论文
共 15 条
[1]   Measuring Reputation and Influence in Online Social Networks: A Systematic Literature Review [J].
Al-Yazidi, Sami ;
Berri, Jawad ;
Al-Qurishi, Muhammad ;
Al-Alrubaian, Majed .
IEEE ACCESS, 2020, 8 :105824-105851
[2]  
Anger I., 2011, P 11 INT C KNOWL MAN, P1
[3]  
Bakshy E., 2011, P 4 ACM INT C WEB SE, P65, DOI [10.1145/1935826.1935845, DOI 10.1145/1935826.1935845]
[4]  
Bigonha Carolina., 2012, Journal of the Brazilian Computer Society, V18, P169
[5]   Detecting Real-World Influence Through Twitter [J].
Cossu, Jean-Valere ;
Dugue, Nicolas ;
Labatut, Vincent .
SECOND EUROPEAN NETWORK INTELLIGENCE CONFERENCE (ENIC 2015), 2015, :83-90
[6]  
El Marrakchi Mouna, 2017, International Journal of Intelligent Systems and Applications, V9, P17, DOI 10.5815/ijisa.2017.11.03
[7]  
Klout, KLOUT STAND INFL
[8]  
Kred, KRED STORY
[9]  
Kyumin L., 2014, Proceedings of the 19th international conference on Intelligent User Interfaces, P247, DOI DOI 10.1145/2557500.2557502
[10]  
Perez Anthony., 2014 INT C BEH EC SO
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