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Twitter Homophily: Network Based Prediction of User’s Occupation

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Figure

Figure 1: User and Network information on Twitter Mi-croblog.
Table 1: The table shows the major groups (left col-umn) and categorized jobs with different sub-majorgroups (middle column) by SOC
Table 2: Performance in terms of accuracy percentagecomparison of logistic regression (LR), support vectormachines (SVM), and graph convolutional networks(GCN)
Figure 3: (a) A 2D t-SNE plot of final layer user represntations learned using GCN; (b) Confusion matrix of predic-tion made by GCN (rows and columns represent actual and predicted group, respectively); (c) Model performancevs fraction of training data used.

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