E-Commerce

78E-Commerce(a) G cooc(b) G overlap(c) G capital(d) G business(e) G shareholder (f) G age (g) G marketFig. 1. Social networks for companies in electrical industrial with different relational indicesor types.4. Ranking Learning ModelFor the list of nodes V= {v 1 ,…,v n }, given a set of networks G i (V, E i ), i {1,…,m} (constructedby section 3) with a target ranking r * ( R t) (where t ≤n, and r k* denotes k-th element of thevector r * and means the target ranking score of entity v k ), the goal is to learn a ranking modelbased on these networks.First, as a baseline approach, we follow the intuitive idea of simply using approach fromSNAs (i.e. centrality) to learn ranking. As the second approach, multiple relations are