Entropy in Network Community as an Indicator of Language Structure in Emoji Usage: A Twitter Study Across Various Thematic Datasets-Reference-Cited by-同舟云学术

Entropy in Network Community as an Indicator of Language Structure in Emoji Usage: A Twitter Study Across Various Thematic Datasets

Published:2018-12-02 Issue: Volume: Page:328-337
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
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Author:

Hartman Ryan,Seyednezhad S. M. Mahdi,Pinheiro Diego,Faustino Josemar,Menezes Ronaldo

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-05411-3_27

Reference21 articles.

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2. Doble, A.: UK’s fastest growing language is... emoji. http://www.bbc.co.uk/newsbeat/article/32793732/uks-fastest-growing-language-is-emoji (2015)

3. Dugué, N., Perez, A.: Directed Louvain: maximizing modularity in directed networks. Technical Report, Université d’Orléans. https://hal.archives-ouvertes.fr/hal-01231784 (2015)

4. Fede, H., Herrera, I., Seyednezhad, S.M., Menezes, R.: Representing emoji usage using directed networks: a twitter case study. In: International Workshop on Complex Networks and their Applications, pp. 829–842. Springer (2017). https://doi.org/10.1007/978-3-319-72150-7_67

5. Fortunato, S.: Community detection in graphs. Phys. Rep. 486(3–5), 75–174 (2010). http://dx.doi.org/10.1016/j.physrep.2009.11.002

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