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Analiza usmjerene mrežne difuzije

Analiza usmjerene mrežne difuzije proučava kako se informacije, bolesti, ponašanje ili utjecaj šire mrežom u kojoj bridovi nose smjer — što znači da prijenos teče jednosmjerno duž svake veze. Kombinira grafno-teorijske prikaze sa stohastičkim modelima širenja kao što su neovisni kaskadni model (independent cascade), model linearnog praga (linear threshold) ili SIR/SIS, te je ključna za istraživanja maksimizacije utjecaja, predviđanja epidemija i propagacije informacija.

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Izvori

  1. Kempe, D., Kleinberg, J., & Tardos, E. (2003). Maximizing the spread of influence through a social network. Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 137–146. DOI: 10.1145/956750.956769
  2. Pastor-Satorras, R., Castellano, C., Van Mieghem, P., & Vespignani, A. (2015). Epidemic processes in complex networks. Reviews of Modern Physics, 87(3), 925–979. DOI: 10.1103/RevModPhys.87.925

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Directed Network Diffusion Analysis (Influence and Spreading Processes on Directed Graphs). ScholarGate. https://scholargate.app/hr/network-analysis/directed-network-diffusion-analysis

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ScholarGateDirected Network Diffusion Analysis (Directed Network Diffusion Analysis (Influence and Spreading Processes on Directed Graphs)). Preuzeto 2026-06-15 s https://scholargate.app/hr/network-analysis/directed-network-diffusion-analysis · Skup podataka: https://doi.org/10.5281/zenodo.20539026