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• W2770816648 abstract "During the last years, social networks have become a normal part of our lives. Some people can not imagine the world without the social networks yet. They are considered to be an appropriate tool for communication, advertisement, or even business. Beside the indisputable importance of the social networks for the users, they bring very valuable information for researchers from whole of the world. The social network analysis is used to better understand some principles of difficult systems. In this chapter, they are used to model and better understand the relationships between individuals in the differential evolution algorithm. The short-interval networks, aggregated networks, and longitudinal social networks will be taken into consideration and the results of the different analysis will be discussed." @default.
• W2770816648 created "2017-12-04" @default.
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• W2770816648 date "2017-11-25" @default.
• W2770816648 modified "2023-09-25" @default.
• W2770816648 title "Differential Evolution Dynamics Modeled by Social Networks" @default.
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• W2770816648 doi "https://doi.org/10.1007/978-3-662-55663-4_3" @default.
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