Bibliometric analysis reveals key trends in web intelligence, indicating its importance for data-driven decisions.
Based on bibliometric data, this paper presents an in-depth analysis of the evolution of Web Intelligence (WI) in the past two decades. These objectives are to trace thematic shifts and influential papers, understand prevailing topics within the WI community, and derive insights for future research directions. This paper traced the results of a citation network and co-citation outlining the significant contributions and emerging trends of WI and its critical role in the data economy. The findings demonstrate how WI offers robust frameworks and innovative solutions for leveraging data to enhance data-driven decision-making processes. As such, the study bridges the divide between theory and practice to foster a more connected and intelligent society
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Balogun et al. (2025) studied this question.
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