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Fig. 1 | Applied Network Science

Fig. 1

From: Simulating systematic bias in attributed social networks and its effect on rankings of minority nodes

Fig. 1

Social network analysis a without and b with considering systematic noise. a A typical approach to social network analysis that implicitly assumes an observed network without noise. b Our approach allows to simulate different kinds of edge noise, which we can compare to the assumed noise-free scenario. This allows to quantify how noise can affect subsequent network analysis. In this paper we use node rankings based on degree centrality as example network analysis task. For more details of the node attribute based noise see Fig. 2

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