A study on information behavior of scholars for article keywords selection

TL;DR

This study investigates scholars' keyword selection behavior using qualitative interviews and grounded theory, combined with multi-agent simulation to analyze individual and group factors influencing keyword choices.

Contribution

It introduces a novel integrated approach combining qualitative analysis and macro simulation to understand and optimize scientific keyword selection behavior.

Findings

Identified key factors influencing keyword selection.

Developed a causal influence path model.

Validated the model through multi-agent simulation.

Abstract

This project takes the factors of keyword selection behavior as the research object. Qualitative analysis methods such as interview and grounded theory were used to construct causal influence path model. Combined with computer simulation technology such as multi-agent simulation experiment method was used to study the factors of keyword selection from two dimensions of individual to group. The research was carried out according to the path of factor analysis at individual level macro situation simulation optimization of scientific research data management. Based on the aforementioned review of existing researches and explanations of keywords selection, this study adopts a qualitative research design to expand the explanation, and macro simulation based on the results of qualitative research. There are two steps in this study, one is do interview with authors and then design macro simulation according the deductive and qualitative content analysis results.