“We Are Only as Strong as We Are United, as Weak as We Are Divided” a Dynamic Analysis of the Peer Support Networks in the Harry Potter Books

ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.net/journal/ojapps
E-mail: [email protected]

Citations

"“We Are Only as Strong as We Are United, as Weak as We Are Divided” a Dynamic Analysis of the Peer Support Networks in the Harry Potter Books"
written by Goele Bossaert, Nadine Meidert,
published by Open Journal of Applied Sciences, Vol.3 No.2, 2013

has been cited by the following article(s):

[1]	Geodesic cycle length distributions in fictional character networks
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[2]	Extraction and Analysis of Fictional Character Networks
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[3]	Strong ties and where to find them: or, why Neville and Bellatrix might be more important than Harry and Tom
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[4]	Findings and methodologies about student networks, learning, performance and academic achievement in higher education: A literature review on quantitative studies
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[5]	A Study on the Estimation of Character Value in Media Works: Based on Network Centralities and Web-Search Data
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[6]	Students of the Same Opinion Flock Together. The Interplay of Homophily and Influence in Forming Homogenous Opinion Networks.
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[7]	Extraction and Analysis of Fictional Character Networks: A Survey
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[8]	The Illusions of Reality: Blurring the Line between Fantasy and Reality in JK Rowling's Harry Potter Novels
	2015

[1]	Taggus: an automated pipeline for the extraction of characters’ social networks from portuguese fiction literature Social Network Analysis and Mining, 2026 DOI:10.1007/s13278-026-01584-6

[2]	2023 DOI:10.32614/CRAN.package.manynet

[3]	Strong ties and where to find them: or, why Neville and Bellatrix might be more important than Harry and Tom Social Network Analysis and Mining, 2022 DOI:10.1007/s13278-022-00947-z

[4]	Findings and methodologies about student networks, learning, performance and academic achievement in higher education: A literature review on quantitative studies Review of Education, 2021 DOI:10.1002/rev3.3308

[5]	Extraction and Analysis of Fictional Character Networks ACM Computing Surveys, 2020 DOI:10.1145/3344548

[6]	2014 DOI:10.32614/CRAN.package.networkDynamicData

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