A Sharp Lower Bound for Mixed-membership

نویسندگان

  • Jiashun Jin
  • Zheng Tracy Ke
چکیده

The goal is to estimate {πi, 1 ≤ i ≤ n} (i.e., membership estimation). We model the network with the degree-corrected mixed membership (DCMM) model [8]. Since for many natural networks, the degrees have an approximate power-law tail, we allow severe degree heterogeneity in our model. For any membership estimation {π̂i, 1 ≤ i ≤ n}, since each πi is a probability mass function, it is natural to measure the errors by the average `-norm 1 n n ∑

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تاریخ انتشار 2017