Advanced Data Mining and Applications by Gao Cong Wen-Chih Peng Wei Emma Zhang Chengliang Li & Aixin Sun

Advanced Data Mining and Applications by Gao Cong Wen-Chih Peng Wei Emma Zhang Chengliang Li & Aixin Sun

Author:Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li & Aixin Sun
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham


3.4 Neighborhood Competition

To demonstrate the effect, we adopt the method originally proposed by Weng et al. [28] to study competition among memes. We divide the check-in history into weeks. We then measure the following entropies for each week.

System entropy ( ): where is the fraction of check-ins in week t performed on venue v, i.e., . The system entropy essentially measures the degree to which the distribution of check-ins concentrates on a small fraction of venues.

Average neighbor entropy ( ): We first define the entropy of the neighborhood of venue j to be and is the ratio of the number of check-ins of v over the total check-ins of in week t. We then take the average of all neighborhood entropies, i.e., . We choose is the top-10 nearest neighbors of venue j. Similar to system entropy , captures the degree to which the distribution of check-ins of a neighborhood concentrates on one of its venues.



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