Jisu Kim
Scuola Normale Superiore di Pisa
5 Papers
1 Citations
Jisu Kim is an academic researcher from Scuola Normale Superiore di Pisa. The author has contributed to research in topics: Residence & Population. The author has an hindex of 2, co-authored 4 publications.
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Papers
Human migration: the big data perspective
Alina Sîrbu,Gennady Andrienko,Gennady Andrienko,Natalia Andrienko,Natalia Andrienko,Chiara Boldrini,Marco Conti,Fosca Giannotti,Riccardo Guidotti,Simone Bertoli,Jisu Kim,Cristina Ioana Muntean,Luca Pappalardo,Andrea Passarella,Dino Pedreschi,Laura Pollacci,Francesca Pratesi,Rajesh Sharma +17 more
TL;DR: This paper explores various data sets and models that can be used to quantify and understand migrant integration, with the final aim of providing the basis for the construction of a novel multi-level integration index.
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Home and destination attachment: study of cultural integration on Twitter.
TL;DR: In this paper, the authors build home and destination attachment indexes and analyse their possible determinants (e.g., language proximity, distance between countries), also in relation to Hofstede's cultural dimension scores.
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Characterising different communities of Twitter users: Migrants and natives.
TL;DR: In this article, the authors studied the characteristics and behaviours of migrants and natives on Twitter and found that migrants have more followers than friends, and they have also tweeted more despite that both groups have similar account ages.
Origin and destination attachment: study of cultural integration on Twitter
TL;DR: In this article , the authors introduce a means to quantify these two aspects based on Twitter data and build origin and destination attachment indices and analyse their possible determinants (e.g., language proximity, distance between countries), also in relation to Hofstede's cultural dimension scores.
Digital Footprints of International Migration on Twitter
Jisu Kim,Alina Sîrbu,Fosca Giannotti,Lorenzo Gabrielli +3 more
- 27 Apr 2020
TL;DR: A generic methodology is developed to identify migrants within the Twitter population, and it can identify both immigrants and emigrants, regardless of the origin/destination countries.