research-article

From Ideas to Social Signals: Spatiotemporal Analysis of Social Media Dynamics

Authors:

Filipe Condessa,

Radu MarculescuAuthors Info & Claims

SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing

Pages 29 - 34

https://doi.org/10.1145/3055601.3055609

Published: 18 April 2017 Publication History

Abstract

Social media activity analysis can provide an open window to the inception and evolution of ideas. In this paper, we introduce a general model of spatiotemporal evolution of an arbitrary number of ideas in social media. As the main theoretical contribution, we map user messages into a latent hidden field and derive a multidimensional social signal that encapsulates an arbitrary number of ideas. We then analyze the distance (in time and space) of individual ideas when compared to a general stream of ideas, thus allowing the characterization of the spatiotemporal behavior of individual idea trajectories. Finally, using Twitter data, we observe that the spatiotemporal behavior of ideas is contents dependent, that is, different ideas evolve differently in time and space. Consequently, we identify four major patterns of behavior of ideas in space (local vs. global) and time (rare vs. pervasive), which can be used to understand the spatiotemporal nature social media dynamics.

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Cited By

Liu LChen BAi CHe LWang YQiu XLu X(2018)The Influence of Geographic Factors on Information Dissemination in Mobile Social Networks in China: Evidence from WeChatISPRS International Journal of Geo-Information10.3390/ijgi70501897:5(189)Online publication date: 14-May-2018
https://doi.org/10.3390/ijgi7050189
Liu LChen BJiang WHe LQiu X(2017)Spatio-temporal dynamics of web pages diffused in WeChatInformation Discovery and Delivery10.1108/IDD-05-2017-004445:3(139-148)Online publication date: 21-Aug-2017
https://doi.org/10.1108/IDD-05-2017-0044

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cover image ACM Conferences

SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing

April 2017

97 pages

ISBN:9781450349772

DOI:10.1145/3055601

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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New York, NY, United States

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Published: 18 April 2017

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CPS Week '17

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CPS Week '17: Cyber Physical Systems Week 2017

April 18 - 21, 2017

PA, Pittsburgh, USA

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Cited By

Liu LChen BAi CHe LWang YQiu XLu X(2018)The Influence of Geographic Factors on Information Dissemination in Mobile Social Networks in China: Evidence from WeChatISPRS International Journal of Geo-Information10.3390/ijgi70501897:5(189)Online publication date: 14-May-2018
https://doi.org/10.3390/ijgi7050189
Liu LChen BJiang WHe LQiu X(2017)Spatio-temporal dynamics of web pages diffused in WeChatInformation Discovery and Delivery10.1108/IDD-05-2017-004445:3(139-148)Online publication date: 21-Aug-2017
https://doi.org/10.1108/IDD-05-2017-0044

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