Difference between revisions of "Extra:citation visualizations"
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* [http://python.org/ Python]: General-purpose high-level programming language. | * [http://python.org/ Python]: General-purpose high-level programming language. | ||
** [http://matplotlib.org/ matplotlib] for generalized plotting | ** [http://matplotlib.org/ matplotlib] for generalized plotting | ||
| − | ** [iPython network citation example] | + | ** [https://www.wakari.io/sharing/bundle/twneale/Citation%20Network%20Analysis iPython network citation example] |
** [http://networkx.github.io/ NetworkX]: Package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. | ** [http://networkx.github.io/ NetworkX]: Package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. | ||
** [https://snap.stanford.edu/snappy/ Snap.py]: Python interface to SNAP, providing high-performance node/network layout and visualization. | ** [https://snap.stanford.edu/snappy/ Snap.py]: Python interface to SNAP, providing high-performance node/network layout and visualization. | ||
Revision as of 18:23, 16 November 2016
Contents
Existing tools for visualizing and data-analytics of citation networks
- VOSviewer: Tool for constructing and visualizing bibliometric networks. Offers text mining functionality that can be used to construct and visualize co-occurrence networks of important terms extracted from a body of scientific literature.
- CiteSpace: Java application for visualizing and analyzing trends and patterns in scientific literature.
- Relationships among scientific paradigms. Well-publicized "map of science", generated using bespoke software. (Was reprinted in Nature, Discovery Magazine, SEED, etc.)
General Visualization Tools (that could be used for citation networks)
- Python: General-purpose high-level programming language.
- matplotlib for generalized plotting
- iPython network citation example
- NetworkX: Package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
- Snap.py: Python interface to SNAP, providing high-performance node/network layout and visualization.
- D3.js: JavaScript libraries for visualization. Well-suited to interactive web-based analytic tools.
- plotly: Data science collaboration platform.
- Cytoscape: Network analytics platform.
- gephi: Network graphs.
- Google Fusion Tables
Graphs
Social networks
Additional Information
- Potentially useful Google searches:
- visualization of citation networks
- visualization of citation networks (Image Search)
- network of scientific collaboration (Image Search)
- Python data visualization: Comparing 7 tools
- Top 30 Social Network Analysis and Visualization Tools
