Cargando…

Quantifying the web browser ecosystem

Contrary to the assumption that web browsers are designed to support the user, an examination of a 900,000 distinct PCs shows that web browsers comprise a complex ecosystem with millions of addons collaborating and competing with each other. It is possible for addons to “sneak in” through third part...

Descripción completa

Detalles Bibliográficos
Autores principales: Ferdman, Sela, Minkov, Einat, Bekkerman, Ron, Gefen, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482432/
https://www.ncbi.nlm.nih.gov/pubmed/28644833
http://dx.doi.org/10.1371/journal.pone.0179281
_version_ 1783245566499618816
author Ferdman, Sela
Minkov, Einat
Bekkerman, Ron
Gefen, David
author_facet Ferdman, Sela
Minkov, Einat
Bekkerman, Ron
Gefen, David
author_sort Ferdman, Sela
collection PubMed
description Contrary to the assumption that web browsers are designed to support the user, an examination of a 900,000 distinct PCs shows that web browsers comprise a complex ecosystem with millions of addons collaborating and competing with each other. It is possible for addons to “sneak in” through third party installations or to get “kicked out” by their competitors without user involvement. This study examines that ecosystem quantitatively by constructing a large-scale graph with nodes corresponding to users, addons, and words (terms) that describe addon functionality. Analyzing addon interactions at user level using the Personalized PageRank (PPR) random walk measure shows that the graph demonstrates ecological resilience. Adapting the PPR model to analyzing the browser ecosystem at the level of addon manufacturer, the study shows that some addon companies are in symbiosis and others clash with each other as shown by analyzing the behavior of 18 prominent addon manufacturers. Results may herald insight on how other evolving internet ecosystems may behave, and suggest a methodology for measuring this behavior. Specifically, applying such a methodology could transform the addon market.
format Online
Article
Text
id pubmed-5482432
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-54824322017-07-06 Quantifying the web browser ecosystem Ferdman, Sela Minkov, Einat Bekkerman, Ron Gefen, David PLoS One Research Article Contrary to the assumption that web browsers are designed to support the user, an examination of a 900,000 distinct PCs shows that web browsers comprise a complex ecosystem with millions of addons collaborating and competing with each other. It is possible for addons to “sneak in” through third party installations or to get “kicked out” by their competitors without user involvement. This study examines that ecosystem quantitatively by constructing a large-scale graph with nodes corresponding to users, addons, and words (terms) that describe addon functionality. Analyzing addon interactions at user level using the Personalized PageRank (PPR) random walk measure shows that the graph demonstrates ecological resilience. Adapting the PPR model to analyzing the browser ecosystem at the level of addon manufacturer, the study shows that some addon companies are in symbiosis and others clash with each other as shown by analyzing the behavior of 18 prominent addon manufacturers. Results may herald insight on how other evolving internet ecosystems may behave, and suggest a methodology for measuring this behavior. Specifically, applying such a methodology could transform the addon market. Public Library of Science 2017-06-23 /pmc/articles/PMC5482432/ /pubmed/28644833 http://dx.doi.org/10.1371/journal.pone.0179281 Text en © 2017 Ferdman et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ferdman, Sela
Minkov, Einat
Bekkerman, Ron
Gefen, David
Quantifying the web browser ecosystem
title Quantifying the web browser ecosystem
title_full Quantifying the web browser ecosystem
title_fullStr Quantifying the web browser ecosystem
title_full_unstemmed Quantifying the web browser ecosystem
title_short Quantifying the web browser ecosystem
title_sort quantifying the web browser ecosystem
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482432/
https://www.ncbi.nlm.nih.gov/pubmed/28644833
http://dx.doi.org/10.1371/journal.pone.0179281
work_keys_str_mv AT ferdmansela quantifyingthewebbrowserecosystem
AT minkoveinat quantifyingthewebbrowserecosystem
AT bekkermanron quantifyingthewebbrowserecosystem
AT gefendavid quantifyingthewebbrowserecosystem