Metraipolis › archive › dc_73ead424f8a2

Research on online book user purchase behavior based on the event logic graph — Europe PMC PMID:41701799

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/41701799
DOI: 10.1371/journal.pone.0341504
License (as archived): CC0-1.0
Archived: 2026-10-06T08:20:45.660Z
SHA-256 of the archived text: c69411a93f841e572bbbbf00c95a061d1f44e9512724f727f1e86153a36404c3
Stable URL of this page: https://metraipolis.com/documento/dc_73ead424f8a2

How to cite

Research on online book user purchase behavior based on the event logic graph — Europe PMC PMID:41701799 — Europe PMC (en), https://europepmc.org/article/MED/41701799 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_73ead424f8a2 (Metraipolis archive dc_73ead424f8a2, sha256 c69411a93f841e572bbbbf00c95a061d1f44e9512724f727f1e86153a36404c3)

BibTeX

@misc{dc73ead424f8a2,
  title = {Research on online book user purchase behavior based on the event logic graph — Europe PMC PMID:41701799},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/41701799},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_73ead424f8a2; sha256 c69411a93f841e572bbbbf00c95a061d1f44e9512724f727f1e86153a36404c3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/41701799. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Purpose/significance: Consumer psychology and demand preferences embedded within user reviews constitute core intelligence resources for precise business operations. This study focuses on the online book consumption scenario, aiming to construct an analytical framework for online book user purchase behavior based on Event Logic Graphs (ELGs). This framework deeply analyzes the internal logical chains and pattern regularities within user behavior events. It seeks to expand the research boundaries of user behavior analysis and ELG applications theoretically, while simultaneously providing practical support for e-commerce platform intelligent operations and the publishing industry's precision marketing. Thus, it possesses both theoretical innovation value and application prospects. Methods/process: Using Dangdang.com book reviews as the data source, the Top2Vec unsupervised topic clustering method was employed to extract user purchase behavior themes. Combining this with Gephi, an ELG was constructed where clustered themes served as nodes and semantic relationships between themes as edges. Visualization techniques were leveraged to deduce the logic behind user purchase behavior and uncover latent demand preferences. Results/conclusions: Online book purchasing behavior exhibits a causal logical chain of "Motivation Triggering → Decision Implementation → Feedback Iteration": The motivation layer encompasses diverse demand orientations like cognitive enhancement and emotional connection; the decision layer is driven by multidimensional factors including product aesthetics, social trust, and price perception; the feedback layer forms a closed-loop mechanism involving quality supervision and emotional continuity. Based on the behavioral characteristics revealed by the ELG, online book retailers need to anchor demand scenarios, building a precision operation system across four dimensions-content ecosystem, product form, marketing reach, and service quality control-to synergistically achieve growth in both user value and commercial value. Innovation/limitation: The innovation lies in integrating Top2Vec theme clustering with ELG visualization technology, establishing a "semantic aggregation + logical deduction" research paradigm for consumer behavior. Limitations include the potential for small sample themes to weaken the explanatory power for group heterogeneity, and the research scope being currently confined to the "purchase behavior" stage without extending to the entire reading lifecycle. Future research should deepen conclusions by expanding data dimensions and scenario boundaries.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: PloS one, 2026 (prima pubblicazione 2026-02-17).
Identificativi: PMID 41701799 · PMCID PMC12912542 · DOI 10.1371/journal.pone.0341504.
Descrittori MeSH principali: Books; Internet; Consumer Behavior.
Pagina: https://europepmc.org/article/MED/41701799 — https://doi.org/10.1371/journal.pone.0341504. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-10-06T08:18:30.510Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.