Predicting the evolution of narratives in social media

Klaus Arthur Schmid; Andreas Züfle; Dieter Pfoser; Andrew Crooks; Arie Croitoru; Anthony Stefanidis

doi:10.1007/978-3-319-64367-0_22

Predicting the evolution of narratives in social media

Klaus Arthur Schmid
, Andreas Züfle
, Dieter Pfoser
, Andrew Crooks
, Arie Croitoru
, Anthony Stefanidis

Geography

Ludwig Maximilian University of Munich
George Mason University

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

3 Scopus citations

Abstract

The emergence of global networking capabilities (e.g. social media) has provided newfound mechanisms and avenues for information to be generated, disseminated, shaped, and consumed. The spread and evolution of online information represents a unique narrative ecosystem that is facilitated by cyberspace but operates at the nexus of three dimensions: the social network, the contextual, and the spatial. Current approaches to predict patterns of information spread across social media primarily focus on the social network dimension of the problem. The novel challenge formulated in this work is to blend the social, spatial, and contextual dimensions of online narratives in order to support high fidelity simulations that are contextually informed by past events, and support the multi-granular, reconfigural and dynamic prediction of the dissemination of a new narrative.

Original language	English
Title of host publication	Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings
Editors	Wei-Shinn Ku, Agnes Voisard, Haiquan Chen, Chang-Tien Lu, Siva Ravada, Matthias Renz, Yan Huang, Michael Gertz, Liang Tang, Chengyang Zhang, Erik Hoel, Xiaofang Zhou
Publisher	Springer Verlag
Pages	388-392
Number of pages	5
ISBN (Print)	9783319643663
DOIs	https://doi.org/10.1007/978-3-319-64367-0_22
State	Published - 2017
Event	15th International Symposium on Spatial and Temporal Databases, SSTD 2017 - Arlington, United States Duration: Aug 21 2017 → Aug 23 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10411 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Symposium on Spatial and Temporal Databases, SSTD 2017
Country/Territory	United States
City	Arlington
Period	08/21/17 → 08/23/17

Access to Document

10.1007/978-3-319-64367-0_22

Cite this

Schmid, K. A., Züfle, A., Pfoser, D., Crooks, A., Croitoru, A., & Stefanidis, A. (2017). Predicting the evolution of narratives in social media. In W.-S. Ku, A. Voisard, H. Chen, C.-T. Lu, S. Ravada, M. Renz, Y. Huang, M. Gertz, L. Tang, C. Zhang, E. Hoel, & X. Zhou (Eds.), Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings (pp. 388-392). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10411 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-64367-0_22

Schmid, Klaus Arthur ; Züfle, Andreas ; Pfoser, Dieter et al. / Predicting the evolution of narratives in social media. Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. editor / Wei-Shinn Ku ; Agnes Voisard ; Haiquan Chen ; Chang-Tien Lu ; Siva Ravada ; Matthias Renz ; Yan Huang ; Michael Gertz ; Liang Tang ; Chengyang Zhang ; Erik Hoel ; Xiaofang Zhou. Springer Verlag, 2017. pp. 388-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{29bea60f549c411a89b660bc4d9baab5,

title = "Predicting the evolution of narratives in social media",

abstract = "The emergence of global networking capabilities (e.g. social media) has provided newfound mechanisms and avenues for information to be generated, disseminated, shaped, and consumed. The spread and evolution of online information represents a unique narrative ecosystem that is facilitated by cyberspace but operates at the nexus of three dimensions: the social network, the contextual, and the spatial. Current approaches to predict patterns of information spread across social media primarily focus on the social network dimension of the problem. The novel challenge formulated in this work is to blend the social, spatial, and contextual dimensions of online narratives in order to support high fidelity simulations that are contextually informed by past events, and support the multi-granular, reconfigural and dynamic prediction of the dissemination of a new narrative.",

author = "Schmid, \{Klaus Arthur\} and Andreas Z{\"u}fle and Dieter Pfoser and Andrew Crooks and Arie Croitoru and Anthony Stefanidis",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 15th International Symposium on Spatial and Temporal Databases, SSTD 2017 ; Conference date: 21-08-2017 Through 23-08-2017",

year = "2017",

doi = "10.1007/978-3-319-64367-0\_22",

language = "English",

isbn = "9783319643663",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "388--392",

editor = "Wei-Shinn Ku and Agnes Voisard and Haiquan Chen and Chang-Tien Lu and Siva Ravada and Matthias Renz and Yan Huang and Michael Gertz and Liang Tang and Chengyang Zhang and Erik Hoel and Xiaofang Zhou",

booktitle = "Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings",

address = "Germany",

}

Schmid, KA, Züfle, A, Pfoser, D, Crooks, A, Croitoru, A & Stefanidis, A 2017, Predicting the evolution of narratives in social media. in W-S Ku, A Voisard, H Chen, C-T Lu, S Ravada, M Renz, Y Huang, M Gertz, L Tang, C Zhang, E Hoel & X Zhou (eds), Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10411 LNCS, Springer Verlag, pp. 388-392, 15th International Symposium on Spatial and Temporal Databases, SSTD 2017, Arlington, United States, 08/21/17. https://doi.org/10.1007/978-3-319-64367-0_22

Predicting the evolution of narratives in social media. / Schmid, Klaus Arthur; Züfle, Andreas; Pfoser, Dieter et al.
Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. ed. / Wei-Shinn Ku; Agnes Voisard; Haiquan Chen; Chang-Tien Lu; Siva Ravada; Matthias Renz; Yan Huang; Michael Gertz; Liang Tang; Chengyang Zhang; Erik Hoel; Xiaofang Zhou. Springer Verlag, 2017. p. 388-392 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10411 LNCS).

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

TY - GEN

T1 - Predicting the evolution of narratives in social media

AU - Schmid, Klaus Arthur

AU - Züfle, Andreas

AU - Pfoser, Dieter

AU - Crooks, Andrew

AU - Croitoru, Arie

AU - Stefanidis, Anthony

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - The emergence of global networking capabilities (e.g. social media) has provided newfound mechanisms and avenues for information to be generated, disseminated, shaped, and consumed. The spread and evolution of online information represents a unique narrative ecosystem that is facilitated by cyberspace but operates at the nexus of three dimensions: the social network, the contextual, and the spatial. Current approaches to predict patterns of information spread across social media primarily focus on the social network dimension of the problem. The novel challenge formulated in this work is to blend the social, spatial, and contextual dimensions of online narratives in order to support high fidelity simulations that are contextually informed by past events, and support the multi-granular, reconfigural and dynamic prediction of the dissemination of a new narrative.

AB - The emergence of global networking capabilities (e.g. social media) has provided newfound mechanisms and avenues for information to be generated, disseminated, shaped, and consumed. The spread and evolution of online information represents a unique narrative ecosystem that is facilitated by cyberspace but operates at the nexus of three dimensions: the social network, the contextual, and the spatial. Current approaches to predict patterns of information spread across social media primarily focus on the social network dimension of the problem. The novel challenge formulated in this work is to blend the social, spatial, and contextual dimensions of online narratives in order to support high fidelity simulations that are contextually informed by past events, and support the multi-granular, reconfigural and dynamic prediction of the dissemination of a new narrative.

UR - https://www.scopus.com/pages/publications/85028462069

U2 - 10.1007/978-3-319-64367-0_22

DO - 10.1007/978-3-319-64367-0_22

M3 - Conference contribution

AN - SCOPUS:85028462069

SN - 9783319643663

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 388

EP - 392

BT - Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings

A2 - Ku, Wei-Shinn

A2 - Voisard, Agnes

A2 - Chen, Haiquan

A2 - Lu, Chang-Tien

A2 - Ravada, Siva

A2 - Renz, Matthias

A2 - Huang, Yan

A2 - Gertz, Michael

A2 - Tang, Liang

A2 - Zhang, Chengyang

A2 - Hoel, Erik

A2 - Zhou, Xiaofang

PB - Springer Verlag

T2 - 15th International Symposium on Spatial and Temporal Databases, SSTD 2017

Y2 - 21 August 2017 through 23 August 2017

ER -

Schmid KA, Züfle A, Pfoser D, Crooks A, Croitoru A, Stefanidis A. Predicting the evolution of narratives in social media. In Ku WS, Voisard A, Chen H, Lu CT, Ravada S, Renz M, Huang Y, Gertz M, Tang L, Zhang C, Hoel E, Zhou X, editors, Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. Springer Verlag. 2017. p. 388-392. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-64367-0_22

Predicting the evolution of narratives in social media

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this