A fitness-based evolving network for Web-APIs discovery

Olayinka Adeleye*, Jian Yu, Sira Yongchareon, Quan Z. Sheng, Liang H. Yang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)

Abstract

Web-APIs such as Google-Maps, Twilio and Twitter APIs form the building blocks of many mobile and web-based applications. They enable cross-organizational functionality integration and data sharing over the Web. Tens of thousands of these Web-APIs with a wide spectrum of functionalities are currently available on various registries such as ProgrammableWeb.com. However, despite the continuous addition of new Web-APIs of various qualities to these registries, only a few, with certain preferences that do not necessarily define quality, are consistently discovered and used by service consumers. The main reasons for this meagre uptake have been identified as the isolation of web-APIs, poor scaling mechanism and lack of social connection among these APIs. Even though, existing Web-APIs discovery approaches show promising results, this task continues exacerbate service engineers. In this paper, we propose a fitness-based complex network approach for connecting Web-APIs into a global network to facilitate Web-APIs discovery. We construct the network based on the theoretical procedure of Bianconi-Barabási complex network model. The procedure is considered in two phases: First, we estimateWeb-APIs' fitness using the Random Walk algorithm and define a strategy for capturing their popularity. Second, we grow the network based on each API's fitness and popularity. Using the popular ProgrammableWeb datasets, we evaluate the APIs network using the universal network metrics and compare our network topology with that of real networks. Finally, we show how our network can be used to facilitateWeb-APIs discovery. The results present in this work are expected to serve as practical guide for modelling evolving-network-based Web service solutions, particularly, service discovery and recommendation applications.

Original languageEnglish
Title of host publicationProceedings of the Australasian Computer Science Week Multiconference, ACSW 2019
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Number of pages10
ISBN (Electronic)9781450366038
DOIs
Publication statusPublished - 29 Jan 2019
Event2019 Australasian Computer Science Week Multiconference, ACSW 2019 - Sydney, Australia
Duration: 29 Jan 201931 Jan 2019

Conference

Conference2019 Australasian Computer Science Week Multiconference, ACSW 2019
CountryAustralia
CitySydney
Period29/01/1931/01/19

Keywords

  • Complex Networks
  • Evolving Networks
  • Programmable Web
  • Social Networks
  • Web-APIs

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  • Cite this

    Adeleye, O., Yu, J., Yongchareon, S., Sheng, Q. Z., & Yang, L. H. (2019). A fitness-based evolving network for Web-APIs discovery. In Proceedings of the Australasian Computer Science Week Multiconference, ACSW 2019 [a49] New York: Association for Computing Machinery. https://doi.org/10.1145/3290688.3290709