1. network analysis
social network analysis
1.1. stand-alone applications
- AutoMap (website )
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'AutoMap enables the extraction of information from texts using Network Text Analysis methods. AutoMap supports the extraction of several types of data from unstructured documents. The type of information that can be extracted includes: content analytic data (words and frequencies), semantic network data (the network of concepts), meta-network data (the cross classification of concepts into their ontological category such as people, places and things and the connections among these classified concepts), and sentiment data (attitudes, beliefs). Extraction of each type of data assumes the previously listed type of data has been extracted.' < | Proprietary | stand-alone application | Java | >
- NodeXL (website )
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< | Proprietary | stand-alone application | | >
- ORA Pro (website repository )
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< | Proprietary | stand-alone application | | >
- Pajek (website )
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< | Proprietary | stand-alone application | | >
- NetworkX (website repository )
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'Data structures for graphs, digraphs, and multigraphs Many standard graph algorithms Network structure and analysis measures Generators for classic graphs, random graphs, and synthetic networks Nodes can be 'anything' (e.g., text, images, XML records) Edges can hold arbitrary data (e.g., weights, time-series) Open source 3-clause BSD license Well tested with over 90% code coverage Additional benefits from Python include fast prototyping, easy to teach, and multi-platform.' < | BSD | stand-alone application | Python | >
- UCINET (website )
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'UCINET 6 for Windows is a software package for the analysis of social network data. It was developed by Lin Freeman, Martin Everett and Steve Borgatti. It comes with the NetDraw network visualization tool.' < | Proprietary | stand-alone application | | >