Modelling Spatial Information Diffusion

Zhuo Chen; Xinyue Ye

doi:10.1007/978-3-030-36687-2_28

Modelling Spatial Information Diffusion

Zhuo Chen, Xinyue Ye

Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of ‘Charlotesville’, a topic vividly discussed over Twitter on the movement ‘Unite the Right rally’ occurred in Charlottesville, Virginia from August 11 to August 12, 2017. Both public attention value and geographical distance decay are demonstrated to show how temporal and spatial factors would influence such diffusion across social network.

Original language	English (US)
Title of host publication	Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019
Editors	Hocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
Publisher	Springer
Pages	337-348
Number of pages	12
ISBN (Print)	9783030366865
DOIs	https://doi.org/10.1007/978-3-030-36687-2_28
State	Published - 2020
Event	8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal Duration: Dec 10 2019 → Dec 12 2019

Publication series

Name	Studies in Computational Intelligence
Volume	881 SCI
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
Country/Territory	Portugal
City	Lisbon
Period	12/10/19 → 12/12/19

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Keywords

Information diffusion
Social network
Space
Time

Access to Document

10.1007/978-3-030-36687-2_28

Cite this

Chen, Z., & Ye, X. (2020). Modelling Spatial Information Diffusion. In H. Cherifi, S. Gaito, J. F. Mendes, E. Moro, & L. M. Rocha (Eds.), Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019 (pp. 337-348). (Studies in Computational Intelligence; Vol. 881 SCI). Springer. https://doi.org/10.1007/978-3-030-36687-2_28

Chen, Zhuo ; Ye, Xinyue. / Modelling Spatial Information Diffusion. Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019. editor / Hocine Cherifi ; Sabrina Gaito ; José Fernendo Mendes ; Esteban Moro ; Luis Mateus Rocha. Springer, 2020. pp. 337-348 (Studies in Computational Intelligence).

@inproceedings{40b4064533b2450e93949012ea367d35,

title = "Modelling Spatial Information Diffusion",

abstract = "This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of {\textquoteleft}Charlotesville{\textquoteright}, a topic vividly discussed over Twitter on the movement {\textquoteleft}Unite the Right rally{\textquoteright} occurred in Charlottesville, Virginia from August 11 to August 12, 2017. Both public attention value and geographical distance decay are demonstrated to show how temporal and spatial factors would influence such diffusion across social network.",

keywords = "Information diffusion, Social network, Space, Time",

author = "Zhuo Chen and Xinyue Ye",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 ; Conference date: 10-12-2019 Through 12-12-2019",

year = "2020",

doi = "10.1007/978-3-030-36687-2_28",

language = "English (US)",

isbn = "9783030366865",

series = "Studies in Computational Intelligence",

publisher = "Springer",

pages = "337--348",

editor = "Hocine Cherifi and Sabrina Gaito and Mendes, {Jos{\'e} Fernendo} and Esteban Moro and Rocha, {Luis Mateus}",

booktitle = "Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019",

}

Chen, Z & Ye, X 2020, Modelling Spatial Information Diffusion. in H Cherifi, S Gaito, JF Mendes, E Moro & LM Rocha (eds), Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019. Studies in Computational Intelligence, vol. 881 SCI, Springer, pp. 337-348, 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019, Lisbon, Portugal, 12/10/19. https://doi.org/10.1007/978-3-030-36687-2_28

Modelling Spatial Information Diffusion. / Chen, Zhuo; Ye, Xinyue.
Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019. ed. / Hocine Cherifi; Sabrina Gaito; José Fernendo Mendes; Esteban Moro; Luis Mateus Rocha. Springer, 2020. p. 337-348 (Studies in Computational Intelligence; Vol. 881 SCI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Modelling Spatial Information Diffusion

AU - Chen, Zhuo

AU - Ye, Xinyue

PY - 2020

Y1 - 2020

N2 - This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of ‘Charlotesville’, a topic vividly discussed over Twitter on the movement ‘Unite the Right rally’ occurred in Charlottesville, Virginia from August 11 to August 12, 2017. Both public attention value and geographical distance decay are demonstrated to show how temporal and spatial factors would influence such diffusion across social network.

AB - This paper develops an open source toolkit SocialNetworkSimulator to model social networks based on a group of tweets with the keyword of ‘Charlotesville’, a topic vividly discussed over Twitter on the movement ‘Unite the Right rally’ occurred in Charlottesville, Virginia from August 11 to August 12, 2017. Both public attention value and geographical distance decay are demonstrated to show how temporal and spatial factors would influence such diffusion across social network.

KW - Information diffusion

KW - Social network

KW - Space

KW - Time

UR - http://www.scopus.com/inward/record.url?scp=85076702089&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85076702089&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-36687-2_28

DO - 10.1007/978-3-030-36687-2_28

M3 - Conference contribution

AN - SCOPUS:85076702089

SN - 9783030366865

T3 - Studies in Computational Intelligence

SP - 337

EP - 348

BT - Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019

A2 - Cherifi, Hocine

A2 - Gaito, Sabrina

A2 - Mendes, José Fernendo

A2 - Moro, Esteban

A2 - Rocha, Luis Mateus

PB - Springer

T2 - 8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019

Y2 - 10 December 2019 through 12 December 2019

ER -

Chen Z, Ye X. Modelling Spatial Information Diffusion. In Cherifi H, Gaito S, Mendes JF, Moro E, Rocha LM, editors, Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019. Springer. 2020. p. 337-348. (Studies in Computational Intelligence). doi: 10.1007/978-3-030-36687-2_28

Modelling Spatial Information Diffusion

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this