A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf
.
Co-occurrence matrices and their applications in information science: Extending ACA to the Web environment
2006
Journal of the American Society for Information Science and Technology
Co-occurrence matrices, such as co-citation, co-word, and co-link matrices, have been used widely in the information sciences. However, confusion and controversy have hindered the proper statistical analysis of this data. The underlying problem, in our opinion, involved understanding the nature of various types of matrices. This paper discusses the difference between a symmetrical co-citation matrix and an asymmetrical citation matrix as well as the appropriate statistical techniques that can
doi:10.1002/asi.20335
fatcat:oxrlckz2svdzjimbyio53rczge