Titlebook: Network Analysis; Methodological Found Ulrik Brandes,Thomas Erlebach Textbook 2005 Springer-Verlag Berlin Heidelberg 2005 Computer.Graph th

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Network Modelsnguage is called ‘network’. These networks that occur in biology, computer science, economy, physics, or in ordinary life belong to what is often called ‘the real world’. To find suitable models for the real world is the primary goal here. The analyzed real-world networks mostly fall into three categories.

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步履蹣跚

ferment

ConnectivityThis chapter is mainly concerned with the strength of connections between vertices with respect to the number of vertex- or edge-disjoint paths. As we shall see, this is equivalent to the question of how many nodes or edges must be removed from a graph to destroy all paths between two (arbitrary or specified) vertices.

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Spectral AnalysisA graph can be associated with several matrices, whose eigenvalues reflect structural properties of the graph. The adjacency matrix, the Laplacian, and the normalized Laplacian are in the main focus of spectral studies. How can the spectrum be used to analyze a graph?

instill

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/n/image/662764.jpg

Obscure

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