Dissertation: hypergraphs + clique algorithms
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@ -138,6 +138,10 @@ structure of the metric space.
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%% TODO figure with examples of simplicial complexes
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%% TODO figure with examples of simplicial complexes
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The notion of simplicial complex is closely related to that of a
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hypergraph. The important distinction lies in the fact that a subset
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of a hyperedge is not necessarily a hyperedge itself.
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Using these definitions, we can define homology on simplicial
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Using these definitions, we can define homology on simplicial
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complexes. %% TODO add reference for more details/do it myself?
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complexes. %% TODO add reference for more details/do it myself?
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@ -364,6 +368,14 @@ then apply WRCF on each static graph in the sequence, obtaining a
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filtered complex for each window, to which we can then apply
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filtered complex for each window, to which we can then apply
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persistent homology.
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persistent homology.
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This method can quickly become very computationally expensive, as
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finding all maximal cliques (using the Bron-Kerbosch algorithm for
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example) is a complicated problem in itself. In practice, we often
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restrict the search to cliques of dimension lower than a certain bound
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$d_M$. With this restriction, the new simplicial complex is
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homologically equivalent to the original: they have the same homology
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groups up to $H_{d_M-1}$.
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This method is sensitive to the choice of sliding windows on the time
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This method is sensitive to the choice of sliding windows on the time
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scale. The width and the overlap of the windows can completely change
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scale. The width and the overlap of the windows can completely change
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the networks created and their topological features. Too small a
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the networks created and their topological features. Too small a
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