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Author: Admin | 2025-04-28
( R N ) + ∂ f ⋅ D S i ( F N ) + ∂ s D S i ( F S N ) ∑ i = 1 t ∂ a ⋅ D S i ( A N ) + ∂ c ⋅ D S i ( C N ) + ∂ r ⋅ D S i ( R N ) + ∂ f ⋅ D S i ( F N ) + ∂ s D S i ( F S N ) (16) where D S i ( A N ) = ∑ D i j ∈ D S i A N i j n i , D S i ( C N ) = ∑ D i j ∈ D S i C N i j n i , D S i ( R N ) = ∑ D i j ∈ D S i R N i j n i , D S i ( F N ) = ∑ D i j ∈ D S i F N ij n i , D S i ( F S N ) = ∑ D i j ∈ D S i F S N i j n i (17) A linear programming model is developed to maximize the influence of the data, where Z is the influence of the data, A , B , C , D , E determine the number of likes, comments, retweets, followers and followers of the data, respectively, and ∂ a , ∂ c , ∂ r , ∂ f , ∂ s mean the weights of each index, respectively. If the influence of each factor is equal, find the data’s maximum influence and the indicator’s weight as follows: M a x Z = A ⋅ ∂ a + B ⋅ ∂ c + C ⋅ ∂ r + D ∂ f + E ∂ s s . t . A ⋅ ∂ a − B ⋅ ∂ c = 0 A ⋅ ∂ a − C ⋅ ∂ r = 0 A ⋅ ∂ a − D ⋅ ∂ f = 0 ⋯ D ⋅ ∂ f − E ∂ s = 0 ∂ a + ∂ c + ∂ r + ∂ f + ∂ s = 1 ∂ a , ∂ c , ∂ r , ∂ f , ∂ s ≥ 0 (18) Obtain the weights of
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