A human mobility dataset collected via LBSLab
© 2023 The Authors. Published by Elsevier Inc..
Location-Based Services (LBS) have been prosperous owing to technological advancements of smart devices. Analyzing location-based user-generated data is a helpful way to understand human mobility patterns, further fueling applications such as recommender systems and urban computing. This dataset documents user activities of location-based services through LBSLab, a smartphone-based system implemented as a mini-program in the WeChat app. The dataset contains activity data of multiple types including logins, profile viewing, weather checking, and check-ins with location information (latitude and longitude), POI and mood indicated, collected from 467 users over a period of 11 days. We also present some temporal and spatial data analysis and believe the reuse of the data will allow researchers to better understand user behaviors of LBS, human mobility, and also temporal and spatial characteristics of people's moods.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:46 |
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Enthalten in: |
Data in brief - 46(2023) vom: 02. Feb., Seite 108898 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Zhang, Yuwei [VerfasserIn] |
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Links: |
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Themen: |
Journal Article |
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Anmerkungen: |
Date Revised 08.02.2023 published: Electronic-eCollection figshare: 10.6084/m9.figshare.15000384.v3 Citation Status PubMed-not-MEDLINE |
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doi: |
10.1016/j.dib.2023.108898 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM352580011 |
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520 | |a Location-Based Services (LBS) have been prosperous owing to technological advancements of smart devices. Analyzing location-based user-generated data is a helpful way to understand human mobility patterns, further fueling applications such as recommender systems and urban computing. This dataset documents user activities of location-based services through LBSLab, a smartphone-based system implemented as a mini-program in the WeChat app. The dataset contains activity data of multiple types including logins, profile viewing, weather checking, and check-ins with location information (latitude and longitude), POI and mood indicated, collected from 467 users over a period of 11 days. We also present some temporal and spatial data analysis and believe the reuse of the data will allow researchers to better understand user behaviors of LBS, human mobility, and also temporal and spatial characteristics of people's moods | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Location-based services | |
650 | 4 | |a Mobility data | |
650 | 4 | |a Mood | |
650 | 4 | |a User check-in | |
650 | 4 | |a Weather | |
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700 | 1 | |a Chen, Yang |e verfasserin |4 aut | |
700 | 1 | |a Xiao, Yu |e verfasserin |4 aut | |
700 | 1 | |a Wang, Xin |e verfasserin |4 aut | |
700 | 1 | |a Hui, Pan |e verfasserin |4 aut | |
700 | 1 | |a Fu, Xiaoming |e verfasserin |4 aut | |
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