Welcome to the SciMAT web site
NEWS: The SciMAT associated article has been accepted in the Journal of the American Society for Information Science and Technology. Please, if you use SciMAT, cite it as: M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma and F. Herrera, SciMAT: A new Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology, 63:8 (2012) 1609-1630 doi: 10.1002/asi.22688. .
SciMAT is an open source (GPLv3) software tool developed to perform a science mapping analysis under a longitudinal framework. SciMAT provides different modules that help the analyst to carry out the steps of the science mapping workflow:
- A module dedicated to the management of the knowledge base and its entities,
- A module responsible for carrying out the science mapping analysis, and
- A module to visualize the generated results and maps.
The principal characteristics of SciMAT are:
- Loaders: ISI Web of Knowledge format and RIS format.
- Bibliometric networks: co-word, author co-citation, journal co-citation, author co-citation, bibliographic coupling, journal bibliographic coupling and author bibliographic coupling.
- Preprocessing: de-duplicating (manual, by plural or by Levenshtein distance, or importing from a XML file), time-slicing, data reduction and network reduction.
- Normalization: Association Strength, Equivalence Index, Inclusion Index, Jaccard’s Index and Salton’s Cosine.
- Mapping (through clustering): Simple Centers Algorithm, Single-linkage, Complete-linkage, Average-linkage and Sum-linkage clustering algorithms.
- Analysis: network analysis (Callon's density and centrality), performance and quality analysis (sum, minimum, maximum and average citations, and complex measures such as the h-index, g-index, hg-index or q2-index), and temporal analysis.
- Visualization: strategic diagram, cluster network, overlapping map, evolution map.
- Report: in HTML and LaTeX format.
SciMAT has been supported by the Project of Spanish Ministry of Education and Science TIN2010-17876, "El modelado linguistico difuso de preferencias: aplicaciones en sistemas de acceso a la informacion y de toma de decisiones en grupo".