Technical Report No. 2013-1, 46 pages A weighted social network data type is analyzed using two different methods. The first method used is the Exponential Random Graph Models (ERGM), which is a model used on social network analysis (SNA) that includes as parameters the structural characteristics of the network and the network’s nodes attributes. However, ERGM does not take into account the weights associated with the network’s edges. The second method used is the Cumulative Logistic Regression, which incorporates the weights associated to the network’s edges, but it doesn’t take into account the network’s structural characteristics. Both methods are illustrated using a weighted one-mode data.