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Extended methods for influence maximization in dynamic networks

Computational social networks, 2018-10, Vol.5 (1), p.8-21, Article 8

2018

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ComBIM: A community-based solution approach for the Budgeted Influence Maximization Problem

Expert systems with applications, 2019-07, Vol.125, p.1-13

2019

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A Memetic algorithm for determining robust and influential seeds against structural perturbances in competitive networks

Information sciences, 2023-04, Vol.621, p.389-406

2023

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Influence maximization in social networks with privacy protection

Physica A, 2022-12, Vol.607, p.128179, Article 128179

2022

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Maximizing influence in a social network: Improved results using a genetic algorithm

Physica A, 2017-07, Vol.478, p.20-30

2017

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Enhancing the robustness of influential seeds towards structural failures on competitive networks via a Memetic algorithm

Knowledge-based systems, 2023-09, Vol.275, p.110677, Article 110677

2023

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Determining seeds with robust influential ability from multi-layer networks: A multi-factorial evolutionary approach

Knowledge-based systems, 2022-06, Vol.246, p.108697, Article 108697

2022

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Solving the robust influence maximization problem on multi-layer networks via a Memetic algorithm

Applied soft computing, 2022-05, Vol.121, p.108750, Article 108750

2022

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Finding robust influential seeds from networked systems against structural failures using a niching memetic algorithm

Applied soft computing, 2023-03, Vol.136, p.110134, Article 110134

2023

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A genetic algorithm concerning diversity information for solving the robust influence maximization problem on networks

Journal of intelligent & fuzzy systems, 2024-02, Vol.46 (2), p.4745-4759

2024

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A survey on meta-heuristic algorithms for the influence maximization problem in the social networks

Computing, 2021-11, Vol.103 (11), p.2437-2477

2021

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A Community-Based Method for Identifying Influential Nodes Using Network Embedding

International Journal of Information and Communication Technology Research (Tehran.Print), 2022-03, Vol.14 (1), p.38-47

2022

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Computation of Differential in Strong Product Network of Paths via Recursive Iteration

Journal of physics. Conference series, 2021-09, Vol.2025 (1), p.12050

2021

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Math‐based reinforcement learning for the adaptive budgeted influence maximization problem

Networks, 2024-04, Vol.83 (3), p.547-569

2024

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Efficient community-based influence maximization in large-scale social networks

Multimedia tools and applications, 2024-05, Vol.83 (15), p.44397-44424

2024

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SEIM: Search economics for influence maximization in online social networks

Future generation computer systems, 2019-04, Vol.93, p.1055-1064

2019

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Socio-spatial influence maximization in location-based social networks

Future generation computer systems, 2019-12, Vol.101, p.304-314

2019

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A Sample Reuse Strategy for Dynamic Influence Maximization Problem

Bio-Inspired Computing: Theories and Applications, p.107-120

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Extracting influential nodes on a social network for information diffusion

Data mining and knowledge discovery, 2010, Vol.20 (1), p.70-97

2010

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Efficient influence spread estimation for influence maximization

Social network analysis and mining, 2020-12, Vol.10 (1), p.81, Article 81

2020

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A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks

Advances in Swarm Intelligence, p.271-283

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Influence maximization algorithm based on reducing search space in the social networks

SN applied sciences, 2020-12, Vol.2 (12), p.2067, Article 2067

2020

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A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks

Connection science, 2023-12, Vol.35 (1)

2023

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A game-theoretic approach for modeling competitive diffusion over social networks

Games, 2018-03, Vol.9 (1), p.1-18

2018

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Benefits of Bias in Crawl-Based Network Sampling for Identifying Key Node Set

IEEE access, 2020-01, Vol.8, p.75370-75380

2020

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Extended methods for influence maximization in dynamic networks

ComBIM: A community-based solution approach for the Budgeted Influence Maximization Problem

A Memetic algorithm for determining robust and influential seeds against structural perturbances in competitive networks

Influence maximization in social networks with privacy protection

Maximizing influence in a social network: Improved results using a genetic algorithm

Enhancing the robustness of influential seeds towards structural failures on competitive networks via a Memetic algorithm

Determining seeds with robust influential ability from multi-layer networks: A multi-factorial evolutionary approach

Solving the robust influence maximization problem on multi-layer networks via a Memetic algorithm

Finding robust influential seeds from networked systems against structural failures using a niching memetic algorithm

A genetic algorithm concerning diversity information for solving the robust influence maximization problem on networks

A survey on meta-heuristic algorithms for the influence maximization problem in the social networks

A Community-Based Method for Identifying Influential Nodes Using Network Embedding

Computation of Differential in Strong Product Network of Paths via Recursive Iteration

Math‐based reinforcement learning for the adaptive budgeted influence maximization problem

Efficient community-based influence maximization in large-scale social networks

SEIM: Search economics for influence maximization in online social networks

Socio-spatial influence maximization in location-based social networks

A Sample Reuse Strategy for Dynamic Influence Maximization Problem

Extracting influential nodes on a social network for information diffusion

Efficient influence spread estimation for influence maximization

A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks

Influence maximization algorithm based on reducing search space in the social networks

A multi-factorial evolutionary algorithm concerning diversity information for solving the multitasking Robust Influence Maximization Problem on networks

A game-theoretic approach for modeling competitive diffusion over social networks

Benefits of Bias in Crawl-Based Network Sampling for Identifying Key Node Set

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