A novel measure to identify influential nodes: Return Random Walk Gravity Centrality

A centrality model for directed graphs based on the Two-Way-Random Path and associated indices for characterizing the nodes

(2022) Manuel Curado et al.   Journal of Computational Science

Graph regularization multidimensional projection

(2022) Alcebiades Dal Col et al.   PATTERN RECOGNITION

An improved gravity model to identify influential nodes in complex networks based on k-shell method

(2021) Xuan Yang et al.   KNOWLEDGE-BASED SYSTEMS

Identifying influential spreaders in complex networks based on network embedding and node local centrality

(2021) Xu-Hua Yang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Semi-supervised node classification via adaptive graph smoothing networks

(2021) Ruigang Zheng et al.   PATTERN RECOGNITION

HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation

(2021) Shenghao Liu et al.   IEEE Transactions on Network Science and Engineering

Influential Nodes Identification in Complex Networks via Information Entropy

(2020) Chungu Guo et al.   Entropy

An efficient approach to identify social disseminators for timely information diffusion

(2020) Lien-Fa Lin et al.   INFORMATION SCIENCES

Top influencers can be identified universally by combining classical centralities

(2020) Doina Bucur   Scientific Reports

Application of Complex Networks Theory in Urban Traffic Network Researches

(2019) Rui Ding et al.   NETWORKS & SPATIAL ECONOMICS

Identifying influential spreaders by gravity model

(2019) Zhe Li et al.   Scientific Reports

Quasi-Laplacian centrality: A new vertex centrality measurement based on Quasi-Laplacian energy of networks

(2019) Yue Ma et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Analysis of the impact of online social networks addiction on the propagation of rumors

(2019) Adil Imad Eddine Hosni et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Return random walks for link prediction

(2019) Manuel Curado   INFORMATION SCIENCES

Minimizing rumor influence in multiplex online social networks based on human individual and social behaviors

(2019) Adil Imad Eddine Hosni et al.   INFORMATION SCIENCES

CAOM: A community-based approach to tackle opinion maximization for social networks

(2019) Qiang He et al.   INFORMATION SCIENCES

Identification of influencers in complex networks by local information dimensionality

(2019) Tao Wen et al.   INFORMATION SCIENCES

Revising the structure of Bayesian network classifiers in the presence of missing data

(2018) Roosevelt Sardinha et al.   INFORMATION SCIENCES

Identifying Influential Nodes Based on Community Structure to Speed up the Dissemination of Information in Complex Network

(2018) Muluneh Mekonnen Tulu et al.   IEEE Access

Identifying influential nodes in complex networks based on the inverse-square law

(2018) Liguo Fei et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Dominating communities for hierarchical control of complex networks

(2017) Peng Gang Sun et al.   INFORMATION SCIENCES

Centrality measures for networks with community structure

(2016) Naveen Gupta et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Vital nodes identification in complex networks

(2016) Linyuan Lü et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

A Community-Based Approach to Identifying Influential Spreaders

(2015) Zhiying Zhao et al.   Entropy

Iterative resource allocation for ranking spreaders in complex networks

(2014) Zhuo-Ming Ren et al.   EPL

The Hidden Geometry of Complex, Network-Driven Contagion Phenomena

(2013) D. Brockmann et al.   SCIENCE