loading
Papers

Research.Publish.Connect.

Paper

Author: Samuel Lee Toepke

Affiliation: Private Engineering Firm, United States

ISBN: 978-989-758-252-3

Keyword(s): Population Estimation, Social Media, Enterprise Architecture, Volunteered Geographic Data, Twitter, Amazon Web Services, Normalization.

Abstract: When using social media data for population estimations, data density is of primary concern. A high density of quality, crowd-sourced data in a specified geographic area leads to a more precise estimation. Nonetheless, data acquisition/storage has to be balanced against the provisioned cost/size constraints of the technical implementation and the ability to receive data in that area. This investigation compares hourly population estimations based on Tweet quantity, for several major west coast cities in the United States of America. An estimation baseline is established, and data is artificially removed from the estimation to explore the importance of data density. Experimental data is obtained and stored using an enterprise cloud solution, density observations/results are discussed, and follow-on work is described.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.204.48.199

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lee Toepke, S. (2017). Data Density Considerations for Crowd Sourced Population Estimations from Social Media.In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-252-3, pages 35-42. DOI: 10.5220/0006314300350042

@conference{gistam17,
author={Samuel Lee Toepke.},
title={Data Density Considerations for Crowd Sourced Population Estimations from Social Media},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2017},
pages={35-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006314300350042},
isbn={978-989-758-252-3},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Data Density Considerations for Crowd Sourced Population Estimations from Social Media
SN - 978-989-758-252-3
AU - Lee Toepke, S.
PY - 2017
SP - 35
EP - 42
DO - 10.5220/0006314300350042

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.