Analysis for the Overwhelming Success of the Web Compared to Microcosm and Hyper-G Systems
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Abstract (arXiv)
Microcosm, Hyper-G, and the Web were developed and released after 1989. There were strengths and weaknesses associate with each of these hypertext systems. The architectures of these systems were relatively different from one another. Standing above its competitors, the Web became the largest and most popular information system. This paper analyses the reasons for which the Web became the first successful hypermedia system by looking and evaluating the architecture of the Web, Hyper-G, and Microcosm systems. Three reasons will be given beyond this success with some lessons to learn. Currently, Semantic Web is a recent development of the Web to provide conceptual hypermedia. More importantly, study of the Web with its impact on technical, socio-cultural, and economical agendas is introduced as web science.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 May 2021.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 2.
4 papers.
- 2024From A-to-Z Review of Clustering Validation Indicescited by 11
- 2021Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm starcited by 4
- 2022An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Imagescited by 0
- 2024Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryptioncited by 0
- 2024Comparative Analysis of AES, Blowfish, Twofish, Salsa20, and ChaCha20 for Image Encryption23 Jul 2024
- 2024From A-to-Z Review of Clustering Validation Indices18 Jul 2024
- 2022An Improved Deep Convolutional Neural Network by Using Hybrid Optimization Algorithms to Detect and Classify Brain Tumor Using Augmented MRI Images8 Jun 2022
- 2021Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star10 Jul 2021