Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data

Rizwan Muhammad · Wanggen Wan

18 citations0/0 files storedInformation

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Human Mobility and Location-Based Analysis Geographic Information Systems Studies Data Management and Algorithms

Abstract

With rapid advancement in location-based services (LBS), their acquisition has become a powerful tool to link people with similar interests across long distances, as well as connecting family and friends. To observe human behavior towards using social media, it is essential to understand and measure the check-in behavior towards a location-based social network (LBSN). This check-in phenomenon of sharing location, activities, and time by users has encouraged this research on the frequency of using an LBSN. In this paper, we investigate the check-in behavior of several million individuals, for whom we observe the gender and their frequency of using Chinese microblog Sina Weibo (referred as “Weibo”) over a period in Shanghai, China. To produce a smooth density surface of check-ins, we analyze the overall spatial patterns by using the kernel density estimation (KDE) by using ArcGIS. Furthermore, our results reveal that female users are more inclined towards using social media, and a difference in check-in behavior during weekday and weekend is also observed. From the results, LBSN data seems to be a complement to traditional methods (i.e., survey, census) and is used to study gender-based check-in behavior.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 18 citations exist upstream.

References

2001Consumer city 2016A formal definition of Big Data based on its essential features 2010Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake 2010Find me if you can 2014Social media analytics: a survey of techniques, tools and platforms 2011Make new friends or keep the old: Gender and personality differences in social networking use 2012Using Social Media to Enhance Emergency Situation Awareness 2013Government innovation through social media

Cited by

2023Prediction and Classification of User Activities Using Machine Learning Models from Location-Based Social Network Data 2020A Study of User Activity Patterns and the Effect of Venue Types on City Dynamics Using Location-Based Social Network Data 2023A taxonomy and survey of big data in social media 2020Location-Based Social Network’s Data Analysis and Spatio-Temporal Modeling for the Mega City of Shanghai, China 2021Spatial-temporal analysis of retail and services using Facebook Places data: a case study in Brno, Czech Republic

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.