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Uchanganuzi wa Uenezaji wa Mtandao wenye Mielekeo

Uchanganuzi wa uenezaji wa mtandao wenye mielekeo husoma jinsi habari, magonjwa, tabia, au ushawishi unavyoenea kupitia mtandao ambao kingo zake hubeba mwelekeo — kumaanisha kuwa usambazaji unapita njia moja tu kwenye kila kiungo. Unachanganya uwakilishi wa nadharia ya grafu na mifumo ya uenezaji wa bahati nasibu kama vile athari huru, kizingiti cha mstari, au SIR/SIS, na ni muhimu kwa utafiti wa kuongeza ushawishi, utabiri wa janga, na uenezaji wa habari.

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Method map

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Vyanzo

  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

Jinsi ya kunukuu ukurasa huu

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

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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.

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ScholarGateDirected Network Diffusion Analysis (Directed Network Diffusion Analysis (Influence and Spreading Processes on Directed Graphs)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/network-analysis/directed-network-diffusion-analysis · Seti ya data: https://doi.org/10.5281/zenodo.20539026