In this paper we discuss the use of Multiple Correspondence Analysis to analyze and graphically represent two-mode networks, and we propose to apply it in a Greenacre’s doubling perspective. We discuss how orrespondence Analysis oubling ctor and event covariates Multiple Correspondence Analysis: (i) properly takes into account the nature of relational data and the intrinsic asymmetry of actors/...

Correspondence analysis, multiple correspondence analysis, preference mapping, and multidimensional preference analysis are descriptive statistical methods that generate graphical displays from data matrices. These methods are used by marketing researchers to investigate relationships among products and individual differences in preferences for those products. The end result is a twoor three-di...

Competitive intelligence activities rely on collecting and analyzing data in order to discover patterns from data using sequence data mining. The discovered patterns are used to help decision-makers considering innovation and defining the strategy for their business. In this chapter we present four methods for discovering patterns in the competitive intelligence process: “correspondence analysi...