Computational Social Networks

Table 4 Edge overlap coefficients on Flixster

From: Real-time topic-aware influence maximization using preprocessing

–	0.33	0.49	0.27	0.36	0.35	0.35	0.42	0.43	0.39
0.22	–	0.48	0.33	0.31	0.41	0.31	0.36	0.38	0.39
0.28	0.26	–	0.46	0.50	0.48	0.55	0.50	0.57	0.52
0.15	0.19	0.22	–	0.33	0.25	0.31	0.37	0.38	0.38
0.20	0.25	0.34	0.13	–	0.52	0.30	0.46	0.45	0.37
0.23	0.29	0.28	0.16	0.31	–	0.36	0.50	0.47	0.38
0.25	0.21	0.34	0.18	0.24	0.25	–	0.37	0.43	0.46
0.21	0.24	0.38	0.15	0.31	0.29	0.25	–	0.44	0.37
0.24	0.24	0.44	0.17	0.32	0.28	0.29	0.35	–	0.42
0.28	0.27	0.47	0.23	0.29	0.26	0.35	0.32	0.37	–

The upper triangle represents edge overlap coefficient when \(\theta =0.1\). The entry on row i, column j represents \(R^{E}_{ij}(0.1)\); the lower italic triangle represents edge overlap coefficient when \(\theta =0.3\). The entry on row i, column j represents \(R^{E}_{ij}(0.3)\)

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