The Effect of Keywords Used on Content Attraction in Complex Networks
Yassine El Moudene
Jaafar Idrais
IMI Laboratory, Faculty of Sciences of Agadir
Ibn Zohr University, Agadir, Morocco
Abderrahim Sabour
Department of Computer Science
High School of Technology, Ibn Zohr University, Agadir, Morocco
Abstract
To understand complex networks like online social networks (OSNs), one must explore them. This gives a partial view of the real object, which is generally assumed to be representative of the whole, like an iceberg. OSNs are growing rapidly, not only in the number of users they attract, but also in the mass of data produced in a short period of time. Once created, the data attracts the attention of other users, who interact with it. The purpose of this study is to evaluate the impact of keywords used on content attraction, through an analysis of the attraction’s different modes as well as the nature of the interactions of the different communities. The study concerns a crucial topic: the environment and climate change. This paper looks at the keywords used on Twitter and their impact on the interactions of different users for this complex network.
Keywords: online social network; big data; PCA; content attraction; keyword effect; complex system; data extraction; data analysis; knowledge extraction
Cite this publication as:
Y. El Moudene, J. Idrais and A. Sabour, “The Effect of Keywords Used on Content Attraction in Complex Networks,” Complex Systems, 29(3), 2020 pp. 689–709.
https://doi.org/10.25088/ComplexSystems.29.3.689
