A Hybrid Approach For Enhanced Influence Maximization Integrating Independent Cascade and Linear Threshold Dynamics For More Reliable Seed Selection in Social Networks
A hybrid model is built that combines the two models' influence-spread estimates through a tunable weighting parameter, and a greedy seed-selection procedure optimizes over the combined signal rather than either model alone, suggesting that treating diffusion as a blend of probabilistic and threshold-based behavior is...