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Collective Influence Algorithm to find influencers via optimal percolation in massively large social media

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Learning by Message Passing in Networks of Discrete Synapses

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Maximizing the spread of influence through a social network

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An influence maximization algorithm based on community detection using topological features

inferred← citeshttps://doi.org/10.1109/icspis51611.2020.9349553openalex-snapshot

A node filtering approach for Influence Maximization problem in Independent Cascade model

inferred← citeshttps://doi.org/10.1109/icwr49608.2020.9122283openalex-snapshot

IMT: Selection of Top-k Nodes based on the Topology Structure in Social Networks

inferred← citeshttps://doi.org/10.1109/icwr49608.2020.9122321openalex-snapshot

A Heuristic Algorithm Focusing on the Rich-Club Phenomenon for the Influence Maximization Problem in Social Networks

inferred← citeshttps://doi.org/10.1109/icwr57742.2023.10138958openalex-snapshot

Identify Initial Nodes for Spreader in A New Diffusion Model Based on Topology (DBT) in Social Networks

inferred← citeshttps://doi.org/10.1109/icwr57742.2023.10139114openalex-snapshot

CDP: Selective Influential Nodes Based on Cliques in the Diffusion Process in Social Networks

inferred← citeshttps://doi.org/10.1109/icwr57742.2023.10139309openalex-snapshot

Leveraging a Hierarchical Selection of Communities in Social Networks to Maximize Diffusion

inferred← citeshttps://doi.org/10.1109/tkde.2023.3267821openalex-snapshot

Unsupervised Rumor Detection Based on Propagation Tree VAE

inferred← citeshttps://doi.org/10.1109/tmc.2021.3092434openalex-snapshot

Collective Influence Maximization in Mobile Social Networks

inferred← citeshttps://doi.org/10.1109/tmm.2022.3151029openalex-snapshot

Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning

inferred← citeshttps://doi.org/10.1109/tnse.2025.3578801openalex-snapshot

On Random Seeding for Influence Maximization in Differentially Private Graphs: Balancing Privacy and Utility Using Percolation Theory

inferred← citeshttps://doi.org/10.1109/tnsm.2025.3596212openalex-snapshot

Modeling and Maximizing Network Reliability in Large Scale Infrastructure Networks: A Heat Conduction Model Perspective

inferred← citeshttps://doi.org/10.1137/20m1352132openalex-snapshot

Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization

inferred← citeshttps://doi.org/10.1137/20m1384725openalex-snapshot

A Theory for Backtrack-Downweighted Walks

inferred← citeshttps://doi.org/10.1140/epjb/e2017-80597-1openalex-snapshot

Identifying an influential spreader from a single seed in complex networks via a message-passing approach

inferred← citeshttps://doi.org/10.1140/epjds/s13688-022-00323-zopenalex-snapshot

Effective strategies for targeted attacks to the network of Cosa Nostra affiliates

inferred← citeshttps://doi.org/10.1140/epjds/s13688-025-00553-xopenalex-snapshot

Garbage in garbage out? Impacts of data quality on criminal network intervention

inferred← citeshttps://doi.org/10.1142/s012918312150090xopenalex-snapshot

Sub-graph degree-based bridge centrality algorithm

inferred← citeshttps://doi.org/10.1142/s021848852040019xopenalex-snapshot

Pattern Mining Approaches Used in Social Media Data

inferred← citeshttps://doi.org/10.1145/3155897openalex-snapshot

Analysis of Online Social Network Connections for Identification of Influential Users

inferred← citeshttps://doi.org/10.1145/3180374.3181342openalex-snapshot

A Comprehensive Evaluation Method of Node Effectiveness based on Multi-identity and Multi-attribute Decision-making

inferred← citeshttps://doi.org/10.1145/3639631.3639633openalex-snapshot

IMC: Influence Maximization from Community View

inferred← citeshttps://doi.org/10.1145/3774904.3792316openalex-snapshot

Network Dismantling via Reverse Dismantling: Static and Dynamic Algorithms

inferred← citeshttps://doi.org/10.1155/2017/6108563openalex-snapshot

Combined Heuristic Attack Strategy on Complex Networks

inferred← citeshttps://doi.org/10.1155/2018/9826243openalex-snapshot

Underestimated Cost of Targeted Attacks on Complex Networks

inferred← citeshttps://doi.org/10.1155/2021/6612785openalex-snapshot

Identification of Self‐Organized Critical State on Twitter Based on the Retweets’ Time Series Analysis

inferred← citeshttps://doi.org/10.1162/netn_a_00221openalex-snapshot

Connectomic analysis of Alzheimer’s disease using percolation theory

inferred← citeshttps://doi.org/10.1177/01423312231182468openalex-snapshot

Edge-weights-based method to identify influential spreaders in complex networks

inferred← citeshttps://doi.org/10.1177/09727531221117633openalex-snapshot

Tracking the Progression and Influence of Beta-Amyloid Plaques Using Percolation Centrality and Collective Influence Algorithm: A Study Using PET Images

inferred← citeshttps://doi.org/10.1186/s40537-020-0283-3openalex-snapshot

Time-aware domain-based social influence prediction

inferred← citeshttps://doi.org/10.1186/s40649-018-0060-zopenalex-snapshot

Influence spreading model used to analyse social networks and detect sub-communities

inferred← citeshttps://doi.org/10.1360/sspma-2023-0134openalex-snapshot

A node-embedding-based influence maximization algorithm in temporal network

inferred← citeshttps://doi.org/10.1371/journal.pone.0195539openalex-snapshot

Correlated network of networks enhances robustness against catastrophic failures

inferred← citeshttps://doi.org/10.1371/journal.pone.0289488openalex-snapshot

A proposal for ranking through selective computation of centrality measures

inferred← citeshttps://doi.org/10.1527/tjsai.41-2_fn26-aopenalex-snapshot

Network Robustness against Vertex Removal Based on Cycle-Redundancy Score

inferred← citeshttps://doi.org/10.17760/d20413933openalex-snapshot

Spectral aspects of mining complex networks

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1726998/v1openalex-snapshot

Identifying key players in a network of child exploitation websites using Principal Component Analysis

inferred← citeshttps://doi.org/10.21203/rs.3.rs-1726998/v2openalex-snapshot

Identifying key players in a network of child exploitation websites using Principal Component Analysis

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2007450/v1openalex-snapshot

Embedding-aided network dismantling

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2274952/v1openalex-snapshot

PopNode-PopCom: Identifying The Popular Nodes to Predict the Popular Communities in Dynamic Social Networks

inferred← citeshttps://doi.org/10.21203/rs.3.rs-277919/v1openalex-snapshot

Tracking the Progression & Influence of Beta-Amyloid Plaques Using Percolation Centrality and Collective Influence Algorithm: A Study using PET images

inferred← citeshttps://doi.org/10.22353/mjeas.v3i1.42openalex-snapshot

СҮЛЖЭЭГ ЗАДЛАХ БОДЛОГОД ЗОРИУЛСАН ДАХИН ОРУУЛАХ ТЕХНИКИЙГ САЙЖРУУЛАХ

inferred← citeshttps://doi.org/10.31940/matrix.v14i1.25-32openalex-snapshot

Identification of top influence users in disseminating information on the 2024 Indonesian National Election

inferred← citeshttps://doi.org/10.3390/app13148303openalex-snapshot

A Complex Network Important Node Identification Based on the KPDN Method

inferred← citeshttps://doi.org/10.3390/app14104197openalex-snapshot

Brain Network Modularity and Resilience Signaled by Betweenness Centrality Percolation Spiking

inferred← citeshttps://doi.org/10.48550/arxiv.1612.00575openalex-snapshot

Not Call Me Cellular Any More: The Emergence of Scaling Law, Fractal Patterns and Small-World in Wireless Networks

inferred← citeshttps://doi.org/10.48550/arxiv.2001.07838openalex-snapshot

An Approach for Time-aware Domain-based Social Influence Prediction

inferred← citeshttps://doi.org/10.48550/arxiv.2002.12309openalex-snapshot

Node Immunization with Non-backtracking Eigenvalues

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