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. 2020 Jan 31;8:34. doi: 10.3389/fbioe.2020.00034

Figure 1.

Figure 1

Network representations and types. (A) Two graphical representations of a graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5} and edge set E = {{1, 3}, {2, 3}, {3, 4}, {3, 5}, {4, 5}}. (B) Representation of subgraph G′ = (V′, E′) with vertex set V = {3, 4, 5} and edge set E = {{3, 4}, {3, 5}, {4, 5}}. (C) Graph G″ = (V″, E″) is isomorphic to graph G = (V, E) with vertex set V = {a, b, c, d, e} and edge set E = {{a, c}, {b, c}, {c, d}, {c, e}, {d, e}}. (D) Undirected graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5} and edge set E = {{1, 3}, {2, 3}, {3, 4}, {3, 5}, {4, 5}}. (E) Directed graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5} and edge set E = {{3, 1}, {3, 2}, {3, 4}, {4, 5}, {3, 5}, {5, 3}}. (F) Semantic graph. (G) Weighted graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5} and edge set E = {{3, 1, 0.4}, {3, 2, 0.1}, {3, 4, 1.0}, {4, 5, 0.1}, {3, 5, 0.4}}. (H) Mixed graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5} and edge set E = {{1, 3}, {3, 2}, {3, 4}, {5, 3}, {4, 5}}. (I) Bipartite graph with vertex set V′ = {1, 2, 3}, V″ = {4, 5, 6, 7} and edge set E = {{1, 4}, {1, 7}, {2, 4}, {2, 5}, {3, 6}, {3, 7}}. (J) Multi-edge graph G = (V, E) with vertex set V = {1, 2, 3} and three different types of edge sets E′ = {{1, 2}, {2, 3}, {3, 1}}, E″ = {{1, 2}, {1, 3}}, E = {{1, 3}}. (K) Hypergraph G = (V, E) with vertex set V = {1, 2, 3, 4, 5} and an edge connecting multiple nodes E = {{1, 2, 3, 4, 5}}. (L) A tree graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5, 6, 7} and edge set E = {{1, 2}, {2, 4}, {2, 5}, {1, 3}, {3, 6}, {3, 7}}. (M) A graph G = (V, E) with vertex set V = {1, 2, 3, 4, 5, 6, 7, 8, 9} and edge set E = {{1, 2}, {1, 3}, {1, 5}, {2, 3}, {2, 4}, {2, 5}, {2, 6}, {2, 7}, {3, 4}, {3, 5}, {3, 9}, {4, 5}, {4, 8}}. A cluster consisting of nodes V = {1, 2, 3, 4, 5} and edges E = {{1, 2}, {1, 3}, {1, 5}, {2, 3}, {2, 4}, {2, 5}, {3, 4}, {3, 5}, {4, 5}}. (N) A five-node clique on the right. Any node is connected with any other node.