Abstract
Location-based social networks (LBSN) have undergone rapid development over the past decade, garnering extensive attention from scholars in various research domains. However, the current status and overarching trends in the field of LBSN and relevant applications remain unclear, and key research hotspots and keywords are yet to be distinctly identified. This bibliometric study delves into the expansive realm of LBSN, uncovering research trends and future challenges. This study aims to address these issues by analyzing 1,099 high-quality articles from the Web of Science database between 2010 and 2023, and the analytical tools are CiteSpace and VOSviewer. The study unveiled pressing challenges confronting LBSN research, such as privacy concerns, the integration of emerging technologies, and the imperative for interdisciplinary collaboration. These challenges present promising opportunities for future exploration and innovation within the LBSN domain. As a roadmap for future research endeavors, this analysis guides researchers to Supporting socially marginalized communities, discovering and preventing of public health issues, and integrating and organizing multimodal geographic information.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hu, S., et al.: Exploring the impacts of mobile devices usage on individual’s creativity: a cross-cultural perspective. Int. J. Mobile Commun. 22, 449–475 (2023)
Li, Y., et al.: Customer’s reaction to cross-channel integration in omnichannel retailing: the mediating roles of retailer uncertainty, identity attractiveness, and switching costs. Decis. Support. Syst. 109, 50–60 (2018)
Yang, Q., et al.: Self-disclosure in mobile payment applications: common and differential effects of personal and proxy control enhancing mechanisms. Int. J. Inf. Manage. 52, 102065 (2020)
Fang, J., et al.: Retaining customers with in-store mobile usage experience in omni-channel retailing: the moderating effects of product information overload and alternative attractiveness. Electron. Commer. Res. Appl. 46, 101028 (2021)
Trung, H.T., et al.: Learning holistic interactions in LBSNs with high-order, dynamic, and multi-role contexts. IEEE Trans. Knowl. Data Eng.a Eng. 35, 5002–5016 (2023)
Liu, L., Yao, B.: Monitoring vegetation–cover changes based on NDVI dimidiate pixel model,. Trans. Chin. Soc. Agric. Eng. 26, 230–234 (2010)
Liu, Y.W., et al.: Interaction-enhanced and time-aware graph convolutional network for successive point-of-interest recommendation in traveling enterprises. IEEE Trans. Ind. Inf. 19, 635–643 (2023)
Du, H.S., et al.: Bibliometric mapping on sustainable development at the base-of-the-pyramid. J. Clean. Prod. 281, 125290 (2021)
Ma, F., et al.: Research on the organization of user needs information in the big data environment. Electron. Libr. 35, 36–49 (2017)
Zhang, J., et al.: Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science 368, 1481–1486 (2020)
Gu, D., et al.: A case-based reasoning system based on weighted heterogeneous value distance metric for breast cancer diagnosis. Artif. Intell. Med. 77, 31–47 (2017)
Gao, R., et al.: Sentiment Classification of Time-Sync Comments: A Semi-Supervised Hierarchical Deep Learning Method. Eur. J. Oper. Res. 314, 1159–1173 (2023)
Yao, X., Feng, J.: An end to end two-stream framework for station-level bike-sharing flow prediction. Expert Syst. Appl. 247, 123273 (2024)
Torres, T.S., et al.: Awareness of prevention strategies and willingness to use preexposure prophylaxis in Brazilian men who have sex with men using apps for sexual encounters: online cross-sectional study. JMIR Pub. Health Surveill. 4, 147–161 (2018)
Assaf, R.D., et al.: Are men who have sex with men at higher risk for HIV in Latin America more aware of PrEP? PLoS ONE 16(8), e0255557 (2021)
Acknowledgement
This research was supported by the National Natural Science Foundation of China under Grant 42171333.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Liu, L., Yao, X. (2024). A Bibliometric Analysis of Location-Based Social Networks and Applications: Research Trends and Future Challenges. In: Tu, Y.P., Chi, M. (eds) E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future. WHICEB 2024. Lecture Notes in Business Information Processing, vol 515. Springer, Cham. https://doi.org/10.1007/978-3-031-60264-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-60264-1_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-60263-4
Online ISBN: 978-3-031-60264-1
eBook Packages: Computer ScienceComputer Science (R0)