Using archival versions of apps to understand emerging digital ecosystems

Archival versions of apps present a unique opportunity to study how apps functioned at different points in time, how they evolved individually, and how their roles in wider digital ecosystems can be useful to understand the increasing dominance of platforms as organizers of the internet. In this paper, we propose a novel approach to studying apps’ histories by analysing the URLs embedded in their code, and a tool, Janus, to automate the collection and analysis of apps, and output visualisations of their hard-coded links. By pruning these URLs at different levels, these visualisations can show an app’s map of connectivity at various levels of detail (domain, subdomain and full URL) across time. We propose Janus as a locus of multidisciplinary research, to triangulate findings especially from qualitative researchers, but also to identify new lines of inquiry for different disciplines. We test Janus and its potential for multidisciplinary research on historical versions of the Kazakhstani ‘super-app’ Kaspi and of other local financial apps.

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Publication Details

Journal
Big Data & Society
Published
2025-11-03
DOI
https://doi.org/10.1177/20539517251382825
Primary Topic
Web Data Mining and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Using archival versions of apps to understand emerging digital ecosystems

Ashwin Mathew, James Burroughs, Elisa Oreglia
Big Data & Society
Web Data Mining and Analysis
article

Using archival versions of apps to understand emerging digital ecosystems

Ashwin Mathew, James Burroughs, Elisa Oreglia
article en

Abstract

Archival versions of apps present a unique opportunity to study how apps functioned at different points in time, how they evolved individually, and how their roles in wider digital ecosystems can be useful to understand the increasing dominance of platforms as organizers of the internet. In this paper, we propose a novel approach to studying apps’ histories by analysing the URLs embedded in their code, and a tool, Janus, to automate the collection and analysis of apps, and output visualisations of their hard-coded links. By pruning these URLs at different levels, these visualisations can show an app’s map of connectivity at various levels of detail (domain, subdomain and full URL) across time. We propose Janus as a locus of multidisciplinary research, to triangulate findings especially from qualitative researchers, but also to identify new lines of inquiry for different disciplines. We test Janus and its potential for multidisciplinary research on historical versions of the Kazakhstani ‘super-app’ Kaspi and of other local financial apps.

Big Data & SocietyVol. 12(4)
King's College London (GB)
Openalex Percentile: Top 54%
Web Data Mining and Analysis
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Using archival versions of apps to understand emerging digital ecosystems — Ashwin Mathew, James Burroughs, et al. · Big Data & Society (2025) | TGRS Research Map | TGRS