Titlebook: Computational Data and Social Networks; 8th International Co Andrea Tagarelli,Hanghang Tong Conference proceedings 2019 Springer Nature Swi

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Connotation

Profit Maximization Under Group Influence Model in Social Networkshard and the objective function is neither submodular nor supermodular. We develop an upper bound and a lower bound that both are difference of two submodular functions. Then we design an Submodular-Modular Algorithm (SMA) for solving difference of submodular functions and SMA is proved to converge

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Zahlensysteme und das Klassenzahl-Problem,on ratio guarantee can be computed. Extensive experiments are conducted on different types of real-world graphs and synthetic graphs. The results illustrate that the proposed algorithms exhibit good efficiency, stability and scalability.

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V. C. Jordan,C. J. Dix,G. Prestwichhard and the objective function is neither submodular nor supermodular. We develop an upper bound and a lower bound that both are difference of two submodular functions. Then we design an Submodular-Modular Algorithm (SMA) for solving difference of submodular functions and SMA is proved to converge