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Birds of a feather talk together: user influence on language adoption

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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Birds of a feather talk together : user influence on language adoption. / Kershaw, Daniel; Rowe, Matthew Charles; Stacey, Patrick Keith; Noulas, Anastasios.

Proceedings of the 50th Hawaii International Conference on System Sciences . IEEE, 2017. p. 1851-1860.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Kershaw, D, Rowe, MC, Stacey, PK & Noulas, A 2017, Birds of a feather talk together: user influence on language adoption. in Proceedings of the 50th Hawaii International Conference on System Sciences . IEEE, pp. 1851-1860. https://doi.org/10.24251/HICSS.2017.225

APA

Kershaw, D., Rowe, M. C., Stacey, P. K., & Noulas, A. (2017). Birds of a feather talk together: user influence on language adoption. In Proceedings of the 50th Hawaii International Conference on System Sciences (pp. 1851-1860). IEEE. https://doi.org/10.24251/HICSS.2017.225

Vancouver

Kershaw D, Rowe MC, Stacey PK, Noulas A. Birds of a feather talk together: user influence on language adoption. In Proceedings of the 50th Hawaii International Conference on System Sciences . IEEE. 2017. p. 1851-1860 https://doi.org/10.24251/HICSS.2017.225

Author

Kershaw, Daniel ; Rowe, Matthew Charles ; Stacey, Patrick Keith ; Noulas, Anastasios. / Birds of a feather talk together : user influence on language adoption. Proceedings of the 50th Hawaii International Conference on System Sciences . IEEE, 2017. pp. 1851-1860

Bibtex

@inproceedings{5f2622bb6af548c3bdf31f9ac8b1aa10,
title = "Birds of a feather talk together: user influence on language adoption",
abstract = "Language is in constant flux be it from changes in meaning to the introduction of new terms. At the user level it changes by users accommodating their language in relation to whom they are in contact with. By mining diffusions of new terms across social networks we detect the influence between users and communities. This is then used to compute the user activation threshold at which they adopt new terms dependent on their neighbours. We apply this method to four different networks from two popular on-line social networks (Reddit and Twitter). This research highlights novel results: by testing the network through random shuffles we show that the time at which a user adopts a term is dependent on the local structure, however, a large part of the influence comes from the global structure and that influence between users and communities is not significantly dependent on network structures.",
author = "Daniel Kershaw and Rowe, {Matthew Charles} and Stacey, {Patrick Keith} and Anastasios Noulas",
year = "2017",
month = jan
day = "8",
doi = "10.24251/HICSS.2017.225",
language = "English",
isbn = "9780998133102",
pages = "1851--1860",
booktitle = "Proceedings of the 50th Hawaii International Conference on System Sciences",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Birds of a feather talk together

T2 - user influence on language adoption

AU - Kershaw, Daniel

AU - Rowe, Matthew Charles

AU - Stacey, Patrick Keith

AU - Noulas, Anastasios

PY - 2017/1/8

Y1 - 2017/1/8

N2 - Language is in constant flux be it from changes in meaning to the introduction of new terms. At the user level it changes by users accommodating their language in relation to whom they are in contact with. By mining diffusions of new terms across social networks we detect the influence between users and communities. This is then used to compute the user activation threshold at which they adopt new terms dependent on their neighbours. We apply this method to four different networks from two popular on-line social networks (Reddit and Twitter). This research highlights novel results: by testing the network through random shuffles we show that the time at which a user adopts a term is dependent on the local structure, however, a large part of the influence comes from the global structure and that influence between users and communities is not significantly dependent on network structures.

AB - Language is in constant flux be it from changes in meaning to the introduction of new terms. At the user level it changes by users accommodating their language in relation to whom they are in contact with. By mining diffusions of new terms across social networks we detect the influence between users and communities. This is then used to compute the user activation threshold at which they adopt new terms dependent on their neighbours. We apply this method to four different networks from two popular on-line social networks (Reddit and Twitter). This research highlights novel results: by testing the network through random shuffles we show that the time at which a user adopts a term is dependent on the local structure, however, a large part of the influence comes from the global structure and that influence between users and communities is not significantly dependent on network structures.

U2 - 10.24251/HICSS.2017.225

DO - 10.24251/HICSS.2017.225

M3 - Conference contribution/Paper

SN - 9780998133102

SP - 1851

EP - 1860

BT - Proceedings of the 50th Hawaii International Conference on System Sciences

PB - IEEE

ER -