Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

Fig 1.

Zachary’s karate club structure obtained by FShJk with nc = 3.

(a) Community 1, (b) Community 2, (c) Community 3.

More »

Fig 1 Expand

Fig 2.

Configuration model example.

More »

Fig 2 Expand

Fig 3.

Zachary’s karate club community structures.

Community structures obtained by (a) [15], (b) with parameters nc = 3, p = 2, (c) with parameters nc = 3, p = 2.

More »

Fig 3 Expand

Fig 4.

Zachary’s karate club disjoint community structures.

Community structures obtained by (a) with parameters nc = n, p = 1, (b) with parameters nc = n, p = 1.

More »

Fig 4 Expand

Fig 5.

Zachary’s karate club community structures.

Community structures obtained by (a) with parameters nc = 4, p = 2, (b) with parameters nc = 4, p = 2.

More »

Fig 5 Expand

Fig 6.

Zebra community structures.

Community structures obtained by (a) with parameters nc = n, p = 1, (b) with parameters nc = 3, p = 2, (c) with parameters nc = 3, p = 2.

More »

Fig 6 Expand

Fig 7.

Highland tribes community structures.

Community structures obtained by (a) with parameters nc = n, p = 1, (b) with parameters nc = 3, p = 2.

More »

Fig 7 Expand

Fig 8.

Windsurfers community structures.

Community structures obtained by (a) with parameters nc = n, p = 1, (b) with parameters nc = 2, p = 2.

More »

Fig 8 Expand

Table 1.

Computational results of the solution methods.

More »

Table 1 Expand

Fig 9.

American college football community structure.

Community structure obtained by LSE heuristic with weights and parameters nc = 7, p = 2.

More »

Fig 9 Expand

Fig 10.

Jazz music community structure.

Community structure obtained by LSE heuristic with weights and parameters nc = 6, p = 2.

More »

Fig 10 Expand

Fig 11.

C. metabolic community structure.

Community structure obtained by LSE heuristic with weights and parameters nc = 10, p = 2.

More »

Fig 11 Expand

Table 2.

Computational results about networks with non-overlapping communities.

More »

Table 2 Expand

Fig 12.

Test results on non-overlapping communities, parameters N = 40, nc = 6.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 12 Expand

Fig 13.

Test results on non-overlapping communities, parameters N = 40, nc = 4.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 13 Expand

Fig 14.

Test results on non-overlapping communities, parameters N = 60, nc = 6.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 14 Expand

Table 3.

Computational results about networks with overlapping communities.

More »

Table 3 Expand

Fig 15.

Test results on overlapping communities, parameters p = 2, μo = 0.5, No = 1.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 15 Expand

Fig 16.

Test results on overlapping communities, parameters p = 2, μo = 0.5, No = 3.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 16 Expand

Fig 17.

Test results on overlapping communities, parameters p = 2, μo = 0.5, No = 5.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 17 Expand

Fig 18.

Test results on overlapping communities, parameters p = 2, μo = 0.7, No = 3.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 18 Expand

Fig 19.

Test results on overlapping communities, parameters p = 3, μo = 0.7, No = 3.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 19 Expand

Table 4.

Computational results about large-scale networks with overlapping communities.

More »

Table 4 Expand

Fig 20.

Test results on overlapping communities, parameters N = 500, nc = 25, p = 2, μo = 0.6, No = 20.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 20 Expand

Fig 21.

Test results on overlapping communities, parameters N = 500, nc = 25, p = 2, μo = 0.6, No = 50.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 21 Expand

Fig 22.

Test results on overlapping communities, parameters N = 500, nc = 25, p = 3, μo = 0.7, No = 20.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 22 Expand

Fig 23.

Test results on overlapping communities, parameters N = 1000, nc = 50, p = 2, μo = 0.6, No = 50.

(a) Average NMI for each solution method, (b) Average Omega for each solution method.

More »

Fig 23 Expand

Table 5.

Computational results about large-scale networks with overlapping communities.

More »

Table 5 Expand