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This concept not only deepens our theoretical understanding of graph structures but also finds practical applications in network analysis, robotics, communication, and chemistry.
Abstract Recent developments in the quantitative analysis of complex networks, based largely on graph theory, have been rapidly translated to studies of brain network organization.
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Breaking the code in network theory: Bimodularity reveals direction of influence in complex systems
As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...
Skyler J. Cranmer, Bruce A. Desmarais, Inferential Network Analysis with Exponential Random Graph Models, Political Analysis, Vol. 19, No. 1 (Winter 2011), pp. 66-86 ...
This paper presents a non-technical exposition of graph theory (more particularly, the theory of directed graphs or digraphs), followed by a survey of the literature on applications of graph theory in ...
Becoming Familiar with Social Networks -- A Brief History of Social Network Analysis -- How to Study Social Networks, from Theory to Design. --- Actor Level in Complete Networks -- Actor Level in Ego ...
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Hard in theory, easy in practice: Why graph isomorphism ... - MSN
Graphs are everywhere. In discrete mathematics, they are structures that show the connections between points, much like a public transportation network. Mathematicians have long sought to develop ...
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