Research Article
A Weighted Statistical Network Modeling Approach to Product Competition Analysis
Table 2
Estimated coefficients of the 2013 co-consideration network for a weighted network and binary networks.
| | Input variables | Weighted | Binary 1 | Binary 2 | Binary 3 |
| | Network configuration effect | | Sum/intercept | −9.54 | −7.24 | −8.80 | −11.72 |
| | Main effect (nodal attributes) | | Import | −1.46 | −1.00 | −1.31 | −1.59 | | Price (log2) | 0.27 | 0.18 | 0.21 | 0.25 | | Power (log2) | 0.05 | 0.07 | 0.01 | 0.04 | | Fuel consumption | −0.03 | −0.06 | −0.02 | −0.01 | | Brand origin (USA) | 1.42 | 1.17 | 1.43 | 1.72 | | Brand origin (Europe) | 1.11 | 0.82 | 1.09 | 1.31 | | Brand origin (Japan) | 0.45 | 0.46 | 0.58 | 0.67 | | Brand origin (Korean) | 0.75 | 0.69 | 0.90 | 1.07 |
| | Homophily effect (dyadic attributes) | | Market segment matching | 1.16 | 0.76 | 0.93 | 1.10 | | Brand origin matching | 0.87 | 0.82 | 0.97 | 1.13 | | Price difference (log2) | −1.90 | −1.35 | −1.83 | −2.25 | | Power difference (log2) | −0.06. | 0.12 | 0.04 | −0.12 | | Fuel consumption difference | −0.30 | −0.26 | −0.38 | −0.41 |
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