Pages that link to "Item:Q508182"
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The following pages link to Identifying influential spreaders by weight degree centrality in complex networks (Q508182):
Displaying 24 items.
- Identifying the node spreading influence with largest \(k\)-core values (Q480268) (← links)
- A modified weighted TOPSIS to identify influential nodes in complex networks (Q1619021) (← links)
- Identifying influential spreaders in complex networks based on gravity formula (Q1619389) (← links)
- Dynamic malware containment under an epidemic model with alert (Q1620435) (← links)
- Ranking the spreading influence of nodes in complex networks: an extended weighted degree centrality based on a remaining minimum degree decomposition (Q1632565) (← links)
- Influential nodes ranking in complex networks: an entropy-based approach (Q1694101) (← links)
- Identifying influential spreaders by weighted leaderrank (Q1782754) (← links)
- Identifying influential spreaders in complex networks by considering the impact of the number of shortest paths (Q2121163) (← links)
- A generalized gravity model for influential spreaders identification in complex networks (Q2129411) (← links)
- Identifying influential spreaders in complex networks based on improved k-shell method (Q2139312) (← links)
- Identification of influential spreaders in bipartite networks: a singular value decomposition approach (Q2155061) (← links)
- Identifying influential nodes in social networks: a voting approach (Q2169571) (← links)
- Dynamics in affinity-weighted preferential attachment networks (Q2202316) (← links)
- Influence maximization by rumor spreading on correlated networks through community identification (Q2207768) (← links)
- Identifying influential spreaders based on edge ratio and neighborhood diversity measures in complex networks (Q2218460) (← links)
- A new local and multidimensional ranking measure to detect spreaders in social networks (Q2218482) (← links)
- Rumor propagation controlling based on finding important nodes in complex network (Q2244228) (← links)
- Identifying influential spreaders in artificial complex networks (Q2341565) (← links)
- Identifying multiple influential spreaders by a heuristic clustering algorithm (Q2406128) (← links)
- Epidemic spreading over quenched networks with local behavioral response (Q2410519) (← links)
- Identification of influential spreaders based on classified neighbors in real-world complex networks (Q2423005) (← links)
- Identifying influential spreaders in complex networks through local effective spreading paths (Q3303063) (← links)
- Rank the spreading influence of nodes using dynamic Markov process (Q6046378) (← links)
- New metrics for influential spreaders identification in complex networks based on D-spectra of nodes (Q6650157) (← links)
