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Key Quality Indicators of Social Networking Service

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Simulation Tools and Techniques (SIMUtools 2021)

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Abstract

Social Networking Service (SNS) is one of the most popular types of online services. To analyze the quality of the end-user experience, we study the key quality indicators (KQIs) of these services. Based on the servo model, we collect data from college students and obtain hierarchical KQIs. Using this KQIs system, we analyze three most popular SNSs as examples and give some improved suggestions.

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Authors and Affiliations

  1. Jiangsu Province Key Laboratory of Intelligent Industry Control Technology, Xuzhou University of Technology, Xuzhou, 221018, China

    Jiachao Deng, Lei Chen, Guiling Liu, Jing Guo, Yan Geng, Chenlu Wun, Jie Yan & Ping Cui

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  1. Jiachao Deng
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  2. Lei Chen
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  3. Guiling Liu
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  4. Jing Guo
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  5. Yan Geng
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  6. Chenlu Wun
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  7. Jie Yan
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  8. Ping Cui
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Corresponding author

Correspondence to Lei Chen .

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Editors and Affiliations

  1. University of Electronic Science and Technology of China, Chengdu, China

    Dingde Jiang

  2. Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

    Houbing Song

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Deng, J. et al. (2022). Key Quality Indicators of Social Networking Service. In: Jiang, D., Song, H. (eds) Simulation Tools and Techniques. SIMUtools 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-030-97124-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-97124-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97123-6

  • Online ISBN: 978-3-030-97124-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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