Tracking the dynamic variations in a social network formed through shared interests

Tracking the dynamic variations in a social network formed through shared interests

We tracked the dynamics of a social network formed by a shared interest in movies. Users-, movie ratings-, and rental date-data from the Netflix Prize dataset were used to construct a series of date-filtered social networks, wherein viewers were linked when they rented the same movie and gave the sa...

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Bibliographic Details
Main Authors: Gerold Pedemonte, May Lim
Format: Article
Language:English
Published: University of the Philippines 2009-06-01
Series:Science Diliman
Subjects:
networks
time series analysis
complex systems
small-world network
Online Access:http://journals.upd.edu.ph/index.php/sciencediliman/article/view/1508
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spelling doaj-c7fcebad364949c3aec336f5b9313fac2020-11-24T23:29:29ZengUniversity of the PhilippinesScience Diliman0115-78092012-08182009-06-012113743Tracking the dynamic variations in a social network formed through shared interestsGerold PedemonteMay LimWe tracked the dynamics of a social network formed by a shared interest in movies. Users-, movie ratings-, and rental date-data from the Netflix Prize dataset were used to construct a series of date-filtered social networks, wherein viewers were linked when they rented the same movie and gave the same rating. We obtained a nearly constant high clustering coefficient (0.60 – 0.85), and a low average path length (1.4 – 2.3) indicating a static 'small-world' network despite the dynamic behavior of the borrowers.http://journals.upd.edu.ph/index.php/sciencediliman/article/view/1508networkstime series analysiscomplex systemssmall-world network
collection DOAJ
language English
format Article
sources DOAJ
author Gerold Pedemonte
May Lim
spellingShingle Gerold Pedemonte
May Lim
Tracking the dynamic variations in a social network formed through shared interests
Science Diliman
networks
time series analysis
complex systems
small-world network
author_facet Gerold Pedemonte
May Lim
author_sort Gerold Pedemonte
title Tracking the dynamic variations in a social network formed through shared interests
title_short Tracking the dynamic variations in a social network formed through shared interests
title_full Tracking the dynamic variations in a social network formed through shared interests
title_fullStr Tracking the dynamic variations in a social network formed through shared interests
title_full_unstemmed Tracking the dynamic variations in a social network formed through shared interests
title_sort tracking the dynamic variations in a social network formed through shared interests
publisher University of the Philippines
series Science Diliman
issn 0115-7809
2012-0818
publishDate 2009-06-01
description We tracked the dynamics of a social network formed by a shared interest in movies. Users-, movie ratings-, and rental date-data from the Netflix Prize dataset were used to construct a series of date-filtered social networks, wherein viewers were linked when they rented the same movie and gave the same rating. We obtained a nearly constant high clustering coefficient (0.60 – 0.85), and a low average path length (1.4 – 2.3) indicating a static 'small-world' network despite the dynamic behavior of the borrowers.
topic networks
time series analysis
complex systems
small-world network
url http://journals.upd.edu.ph/index.php/sciencediliman/article/view/1508
work_keys_str_mv AT geroldpedemonte trackingthedynamicvariationsinasocialnetworkformedthroughsharedinterests
AT maylim trackingthedynamicvariationsinasocialnetworkformedthroughsharedinterests
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