Abstract: A document analysis tool provides a 3-dimensional network representation of temporal evolution of text in a document. First and second portions of text are extracted from one or more documents. The texts are parsed to identify noun phrases. The noun phrases are stemmed to remove word variations. Words from the first portion of the text are linked together to form a first layer in the network. Words from the second portion of the text are linked together to form a second layer in the network. The second layer exists in a different temporal plane from the first layer. Words that are common between first and second layers are linked together between the first and second layers to provide a visual and analytical representation of relationship between the first and second portions of the text.

Abstract: A network text analysis called center resonance analysis (CRA) is presented which represents texts (or transcribed conversations) as networks of centering words. The networks of centering words are components of utterances or (specifically noun phrases) that authors and/or speakers deploy in a manner that makes their utterances coherent. A CRA network can be derived for any text, and abstractly represents its main concepts, their influence, and their interrelationships.

Abstract: A complex system has foci representing activities within the complex system. The foci can represent functions within a commercial business. Each of the foci have interdependency relationships including compatible interactions, incompatible interactions, and no interaction between the foci. The interdependency relationships are represented as links between the foci. The links are coded to indicate magnitude and sign of each interdependency relationship. A model of activity levels of the foci is provided which is based on the interdependency relationships. The model is defined in part by Af,t-0=Ef,t-0+cfAf,t-1−nfOf,t-1+&egr;. The model is represented graphically as activation levels over time. The model provides a means of managing the foci to alter the operation of the complex system by adjusting at least one of the foci.

Abstract: A document analysis tool provides a 3-dimensional network representation of temporal evolution of text in a document. First and second portions of text are extracted from one or more documents. The texts are parsed to identify noun phrases. The noun phrases are stemmed to remove word variations. Words from the first portion of the text are linked together to form a first layer in the network. Words from the second portion of the text are linked together to form a second layer in the network. The second layer exists in a different temporal plane from the first layer. Words that are common between first and second layers are linked together between the first and second layers to provide a visual and analytical representation of relationship between the first and second portions of the text.

Abstract: A network text analysis called center resonance analysis (CRA) is presented which represents texts (or transcribed conversations) as networks of centering words. The networks of centering words are components of utterances or (specifically noun phrases) that authors and/or speakers deploy in a manner that makes their utterances coherent. A CRA network can be derived for any text, and abstractly represents its main concepts, their influence, and their interrelationships.