Computational Social Networks

Table 5 Node overlap coefficients on Flixster

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

–	0.79	0.91	0.68	0.76	0.81	0.77	0.83	0.85	0.87
0.69	–	0.88	0.82	0.76	0.88	0.75	0.74	0.77	0.84
0.83	0.64	–	0.93	0.92	0.95	0.91	0.92	0.91	0.87
0.53	0.67	0.75	–	0.77	0.63	0.78	0.83	0.85	0.89
0.58	0.70	0.87	0.50	–	0.90	0.73	0.84	0.85	0.85
0.76	0.83	0.86	0.46	0.91	–	0.86	0.93	0.92	0.91
0.71	0.53	0.72	0.62	0.72	0.78	–	0.77	0.81	0.88
0.72	0.57	0.82	0.60	0.85	0.89	0.59	–	0.83	0.84
0.74	0.53	0.84	0.62	0.82	0.89	0.63	0.73	–	0.83
0.89	0.74	0.81	0.83	0.88	0.89	0.82	0.82	0.84	–

The upper triangle represents node overlap coefficient when \(\theta =0.5\). The entry on row i, column j represents \(R^{V}_{ij}(0.5)\); the lower italic triangle represents node overlap coefficient when \(\theta =5.0\). The entry on row i, column j represents \(R^{V}_{ij}(5.0)\)

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