Citation Network Analysis

Title: Citation Network Analysis

Research Question: How can we efficiently analyze large citation networks to identify important articles or authors?

Methodology: The researchers proposed an efficient algorithm to analyze large citation networks. They used Hummon and Doreian's weights (SPLC and SPNP) to identify the most important parts of the network. These weights are based on the main path analysis, which helps in determining the impact of an article or author in the network.

Results: The researchers showed that their algorithm is linear in the number of arcs, making it suitable for analyzing very large networks. They also presented some theoretical properties of Hummon and Doreian's weights and demonstrated their application on real-world citation networks.

Implications: This research has significant implications for the field of bibliometrics. It provides a practical method for analyzing large citation networks, which can be used to identify key articles or authors in various fields of study. This can help researchers in making informed decisions about where to focus their research and can also be used to evaluate the impact of research publications.

Link to Article: https://arxiv.org/abs/0309023v1 Authors: arXiv ID: 0309023v1