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Examining the UK Higher Education sector through the network of institutional accounts on Twitter

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Examining the UK Higher Education sector through the network of institutional accounts on Twitter. / Jordan, Katy.
In: First Monday, Vol. 22, No. 5, 01.05.2017.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Jordan, K 2017, 'Examining the UK Higher Education sector through the network of institutional accounts on Twitter', First Monday, vol. 22, no. 5. https://doi.org/10.5210/fm.v22i5.7133

APA

Jordan, K. (2017). Examining the UK Higher Education sector through the network of institutional accounts on Twitter. First Monday, 22(5). https://doi.org/10.5210/fm.v22i5.7133

Vancouver

Jordan K. Examining the UK Higher Education sector through the network of institutional accounts on Twitter. First Monday. 2017 May 1;22(5). doi: 10.5210/fm.v22i5.7133

Author

Jordan, Katy. / Examining the UK Higher Education sector through the network of institutional accounts on Twitter. In: First Monday. 2017 ; Vol. 22, No. 5.

Bibtex

@article{5de65b17652c4c8a9c6592e8289e5baf,
title = "Examining the UK Higher Education sector through the network of institutional accounts on Twitter",
abstract = "Web link mining has been previously used as a way of gaining insight into how the Internet may be replicating or reshaping connections between institutions within the Higher Education sector. Institutions are increasingly active on social media platforms, and these connections have not been studied. This paper presents an exploratory analysis of the network of UK Higher Education institutional accounts on Twitter. All UK institutions have a presence. Standing in recent university rankings is found to be a significant predictor of several network metrics. In examining the communities present within the network, a combination of ranking and geolocation play a role. Analysis of a sample of tweets which mention more than one UK Higher Education institution provides an indication of why the topics of tweets would reinforce prestige and location in the network structure.",
author = "Katy Jordan",
year = "2017",
month = may,
day = "1",
doi = "10.5210/fm.v22i5.7133",
language = "English",
volume = "22",
journal = "First Monday",
issn = "1396-0466",
publisher = "First Monday",
number = "5",

}

RIS

TY - JOUR

T1 - Examining the UK Higher Education sector through the network of institutional accounts on Twitter

AU - Jordan, Katy

PY - 2017/5/1

Y1 - 2017/5/1

N2 - Web link mining has been previously used as a way of gaining insight into how the Internet may be replicating or reshaping connections between institutions within the Higher Education sector. Institutions are increasingly active on social media platforms, and these connections have not been studied. This paper presents an exploratory analysis of the network of UK Higher Education institutional accounts on Twitter. All UK institutions have a presence. Standing in recent university rankings is found to be a significant predictor of several network metrics. In examining the communities present within the network, a combination of ranking and geolocation play a role. Analysis of a sample of tweets which mention more than one UK Higher Education institution provides an indication of why the topics of tweets would reinforce prestige and location in the network structure.

AB - Web link mining has been previously used as a way of gaining insight into how the Internet may be replicating or reshaping connections between institutions within the Higher Education sector. Institutions are increasingly active on social media platforms, and these connections have not been studied. This paper presents an exploratory analysis of the network of UK Higher Education institutional accounts on Twitter. All UK institutions have a presence. Standing in recent university rankings is found to be a significant predictor of several network metrics. In examining the communities present within the network, a combination of ranking and geolocation play a role. Analysis of a sample of tweets which mention more than one UK Higher Education institution provides an indication of why the topics of tweets would reinforce prestige and location in the network structure.

U2 - 10.5210/fm.v22i5.7133

DO - 10.5210/fm.v22i5.7133

M3 - Journal article

VL - 22

JO - First Monday

JF - First Monday

SN - 1396-0466

IS - 5

ER -