Directed Network Diffusion Analysis
Directed network diffusion analysis studies how information, disease, behavior, or influence spreads through a network in which edges carry direction — meaning transmission flows one way along each link. It combines graph-theoretic representations with stochastic spreading models such as independent cascade, linear threshold, or SIR/SIS, and is central to influence maximization, epidemic forecasting, and information propagation research.
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Method map
The neighbourhood of related methods — select a node to explore.
출처
- 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 ↗
- 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 ↗
이 페이지 인용 방법
ScholarGate. (2026, June 3). Directed Network Diffusion Analysis (Influence and Spreading Processes on Directed Graphs). ScholarGate. https://scholargate.app/ko/network-analysis/directed-network-diffusion-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Directed Community Detection네트워크 분석↔ compare
- 방향성 페이지랭크네트워크 분석↔ compare
- 다중망 분석네트워크 분석↔ compare
- 네트워크 확산 분석네트워크 분석↔ compare
- 사회 연결망 분석네트워크 분석↔ compare
- 시간적 네트워크 확산 분석네트워크 분석↔ compare