Title: Remote user experience data collection method for social networks under cloud visualisation layout

Authors: Yingchun Zhang

Addresses: College of Logistics Information Engineering, Henan Logistics Vocational College, Zhengzhou, 450012, Henan, China

Abstract: A remote user experience data collection method for social networks based on cloud visualisation layout is proposed to address issues such as low efficiency in data collection. Firstly, determine the type of experience for remote users and calculate the weight to determine the key elements of the user experience; secondly, a directed graph structured social network is introduced to obtain experiential features, and interference is reduced through normalisation. HITS algorithm is used to analyse experiential features; then, the experience data features are visualised and transformed, using TF-IDF algorithm to filter remote user experience features, and designing cloud visualisation layout. At the same time, consistency of difference values is processed, and all experience data is annotated; finally, the annotation objective function and constraint conditions are introduced to achieve the design of the collection method. The research results indicate that the proposed method can efficiently collect experience data and has certain feasibility.

Keywords: cloud visualisation layout; social networks; remote users; experience data; collection; HITS algorithm.

DOI: 10.1504/IJMIC.2024.142278

International Journal of Modelling, Identification and Control, 2024 Vol.45 No.2/3, pp.120 - 128

Received: 01 Aug 2023
Accepted: 29 Feb 2024
Published online: 16 Oct 2024 *

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