Dissertation: hypergraphs + clique algorithms

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Dimitri Lozeve 2018-07-27 20:52:33 +01:00
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@ -138,6 +138,10 @@ structure of the metric space.
%% TODO figure with examples of simplicial complexes %% TODO figure with examples of simplicial complexes
The notion of simplicial complex is closely related to that of a
hypergraph. The important distinction lies in the fact that a subset
of a hyperedge is not necessarily a hyperedge itself.
Using these definitions, we can define homology on simplicial Using these definitions, we can define homology on simplicial
complexes. %% TODO add reference for more details/do it myself? complexes. %% TODO add reference for more details/do it myself?
@ -364,6 +368,14 @@ then apply WRCF on each static graph in the sequence, obtaining a
filtered complex for each window, to which we can then apply filtered complex for each window, to which we can then apply
persistent homology. persistent homology.
This method can quickly become very computationally expensive, as
finding all maximal cliques (using the Bron-Kerbosch algorithm for
example) is a complicated problem in itself. In practice, we often
restrict the search to cliques of dimension lower than a certain bound
$d_M$. With this restriction, the new simplicial complex is
homologically equivalent to the original: they have the same homology
groups up to $H_{d_M-1}$.
This method is sensitive to the choice of sliding windows on the time This method is sensitive to the choice of sliding windows on the time
scale. The width and the overlap of the windows can completely change scale. The width and the overlap of the windows can completely change
the networks created and their topological features. Too small a the networks created and their topological features. Too small a