Citation Network Analysis of Agent-Based Complex Systems Science

This dataset supports a bibliometric study on the integration of agent-based (ABM) and individual-based modeling (IBM) communities within complex systems science. It uses novel hetero-citation metrics to analyze the historical development and progressive merger of these two synonymous disciplines. The analysis identifies key publications that sparked the ongoing fusion between ABM and IBM research.

Use Cases

• Analyze hetero-citation metrics to quantify the historical separation and subsequent convergence of ABM and IBM research communities.
• Identify key publications that acted as catalysts for the ongoing fusion between agent-based and individual-based modeling disciplines.
• Track the development of generic protocols for model formulation and boundary-transcending inference strategies as means of science integration.
• Study the premise of ACS research by examining the inseparable link between microscale agent behaviors and system-level dynamics across various systems.

Strengths

• The dataset is derived from an original bibliometric approach based on network analysis, providing a novel methodological perspective.
• It focuses on a unique case study of two synonymous modeling disciplines (ABM and IBM) evolving distinctly across scientific domains.
• The analysis revealed a surprisingly small number of key publications that sparked the ongoing fusion between research communities.

Limitations

• The specific data structure, including column names, row count, and file formats, is unknown, limiting immediate analytical utility.
• The dataset's temporal coverage and update frequency are not specified, potentially affecting relevance for current research.
• As a bibliometric study, the data may be limited to citation networks and lack primary research data or model implementations.

Provenance

Source

Christian E. Vincenot

Collection Method

Original bibliometric approach based on network analysis of research citations between the ABM and IBM communities.

Time Range

Historical development of ABM and IBM disciplines (specific range not provided).

Freshness

Last updated on 2020-06-24.