Research Topic · Peer-Reviewed

Network Analysis

Network analysis is a set of mathematical and computational methods for studying systems represented as networks, in which entities are modeled as nodes and their relationships as edges. Grounded in graph theory, it characterizes structure through measures such as degree, centrality, clustering, path length, and com…

Curated from this journal's research 📚 8 peer-reviewed articles cited Cited 36× across the literature 🔖 ISSN 2643-2811 🗓 Reviewed June 2026

Overview

Network analysis is a set of mathematical and computational methods for studying systems represented as networks, in which entities are modeled as nodes and their relationships as edges. Grounded in graph theory, it characterizes structure through measures such as degree, centrality, clustering, path length, and community organization, allowing investigators to identify influential elements, cohesive subgroups, and the overall topology of complex systems. The approach is applied across many domains addressed in the research literature. In health-services research, social network analysis maps the relationships among providers and institutions, for example modeling integrated medical services for hypertension across district hospitals. In neuroscience, dynamic network analysis of functional connectivity examines how brain regions interact over time and how these patterns change in conditions such as dementia. In psychology and psychiatry, network analysis treats symptoms as interacting nodes to reveal core and bridging features of disorders such as depression. A related but distinct branch, network pharmacology, integrates compound-target-disease interactions to predict therapeutic mechanisms and targets of bioactive substances. Network analysis also intersects with bioinformatics in interpreting gene and protein interactions relevant to disease pathogenesis. By making the architecture of relationships explicit and quantifiable, network analysis provides a unifying framework for uncovering patterns and mechanisms in biological, clinical, and social systems.

Research published in this journal

8 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 8 articles above have been cited 36 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Network Analysis, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.