# Network Diffusion Algorithms and Simulators in IoT and Space IoT: A Systematic Review
## 4 Analysis
### Analysis of Research Question 3 and 5: Network Diffusion Algorithms and Performance Evaluation
#### 4.2.1 Introduction
\begin{table}
\begin{tabular}{c c c c c c c c c c c c} \hline \hline
**n** & **Year** & **Top** & **Het** & **App** & **Wgt** & **Dep** & **Dyn** & **Lay** & **L** & **Dir** & **Algo** & **Cat** \\ \hline
[192] & 2019 & Large & & & & Int & & & & LPANNI & Oth \\ \hline
[193] & 2019 & FC & & SN & & & & S & & & \\ \hline
[194] & 2019 & & & Hm & SN & & & & & AB & EM \\ \hline
[195] & 2019 & SW-SF & Het & SN & & Dyn & Undir & ILSR & EM \\ \hline
[196] & 2019 & & & SN & Int & & & & & Oth \\ \hline
[197] & 2020 & SF-SW-RT & Hm & SC & Int & Dyn & Undir & & Oth \\ \hline
[198] & 2020 & & & SN & & Dyn & Dir & & Oth \\ \hline
[199] & 2020 & & & SN & & & & MOEA/D-ADACO & Oth \\ \hline
[200] & 2020 & & & SN & & & & SAIR & EM \\ \hline
[201] & 2020 & & & Ep & Dyn & ML & Dir & Co-Evo Model & EM \\ \hline
[202] & 2020 & & & WSN & & Dyn & & Attack Game & Oth \\ \hline
[203] & 2020 & & Het & SN & Ind & & Dir & ICM-LTM & CM-TM \\ \hline
[204] & 2020 & & & Dif & Wgt & Dyn & & Undir & DLMS & Oth \\ \hline
[205] & 2021 & RT-SF & Het & Ep & & Dyn & ML & L & Undir & S-SIS & EM \\ \hline
[206] & 2021 & SF & Het & SN & & & & & CSRT-SIR-SEIR & EM \\ \hline
[207] & 2021 & & Het & SN & & Dyn & & Dir & P2V & Oth \\ \hline
[208] & 2021 & & & Rum & & & & & SIS & EM \\ \hline
[209] & 2021 & & & SN & Wgt & & & Dir & & Oth \\ \hline
[210] & 2021 & & Het & SN & Wgt & Int & ML & Dir & MF-Model & Oth \\ \hline
[211] & 2021 & & & & Unwgt & & & L & Undir & I M & Oth \\ \hline
[212] & 2022 & & & SN & Wgt & & & Dir & & Oth \\ \hline
[213] & 2022 & & Het & RP & Wgt & Int & Dyn & ML & Dir & & Oth \\ \hline
[214] & 2022 & & & WSN & & & & & & Oth \\ \hline
[215] & 2022 & RT & & BC & & & & & ER & Oth \\ \hline
[216] & 2022 & SW-SF-2D Mesh & & SN & & & & & & Sznajd-SIR-SICR & EM \\ \hline
[217] & 2022 & & & SN & Wgt & Dyn & & Dir & & Oth \\ \hline
[218] & 2022 & & & WSN & & & & Many & Many \\ \hline
[219] & 2022 & RT & Het & SN & Wgt & Dyn & SL & Undir & SAR & EM \\ \hline
[220] & 2022 & RT & Het & Ep & Int & Dyn & & Both & SIR & EM \\ \hline
[221] & 2023 & & & SN & & & & Dir & & Oth \\ \hline
[222] & 2023 & & & SN & Wgt & Int & Dyn & SL & & ICM-LTM & CM-TM \\ \hline
[223] & 2023 & & & Het & Ep & Int & Dyn & ML & Undir & SIS-SIR & EM \\ \hline
[224] & 2023 & & & Hum & Gbl & Wgt & Int & Both & ML & Dir & & Oth \\ \hline
[225] & 2023 & & & Het & Ep & & Int & Dyn & ML & Undir & UAU-SIS & EM \\ \hline
[226] & 2023 & SF-SW & Het & Ep & & Int & Dyn & ML & Undir & UAU & EM \\ \hline
[97] & 2024 & Mesh & Het & WSN & & & Dyn & ML & & & \\ \hline
[98] & 2024 & Mesh & Het & WSN & & Int & Dyn & ML & & \\ \hline
[102] & 2024 & Mesh & Het & WSN & Wgt & Int & Dyn & ML & Undir & & \\ \hline
[1] & 2024 & Tree & Het & WSN & Wgt & Int & Dyn & SL & Dir & & \\ \hline
[105] & 2024 & Tree & Hum & WSN & Wgt & Int & Dyn & SL & NL & Dir & \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Survey of network topologies, algorithm categories, and related features (Part 3); full names corresponding to abbreviations available in Tables 8 and 9. By analyzing these tables, researchers can determine which diffusion models are most effective for different IoT and Space IoT applications. For instance, epidemic models (such as SIR and SIS) dominate large-scale networks due to their rapid spread, while threshold models (LTM) are widely used in structured and community-based IoT environments such as smart cities.