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Maximum a Posteriori Estimation for Information Source Detection

https://doi.org/10.1109/tsmc.2018.2811410

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What this work says

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

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On Approximation of Real-World Influence Spread

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Learning to annotate via social interaction analytics

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Fast rumor source identification via random walks

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Social Media Mining

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Talk of the Network: A Complex Systems Look at the Underlying Process of Word-of-Mouth

inferredcites →https://doi.org/10.1038/30918openalex-snapshot

Collective dynamics of ‘small-world’ networks

inferredcites →https://doi.org/10.1057/jors.1977.92openalex-snapshot

The Mathematical Theory of Infectious Diseases and Its Applications

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Threshold Models of Collective Behavior

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The patient-zero problem with noisy observations

inferredcites →https://doi.org/10.1093/comjnl/6.3.293openalex-snapshot

Permutations by Interchanges

inferredcites →https://doi.org/10.1098/rspa.1932.0171openalex-snapshot

Contributions to the mathematical theory of epidemics. II. —The problem of endemicity

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Branching dynamics of viral information spreading

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Identifying the starting point of a spreading process in complex networks

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Inferring the origin of an epidemic with a dynamic message-passing algorithm

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Locating the source of diffusion in complex networks by time-reversal backward spreading

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Locating the Source of Diffusion in Large-Scale Networks

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Bayesian Inference of Epidemics on Networks via Belief Propagation

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Characterizing the Dynamical Importance of Network Nodes and Links

inferredcites →https://doi.org/10.1109/icdm.2012.136openalex-snapshot

Spotting Culprits in Epidemics: How Many and Which Ones?

inferredcites →https://doi.org/10.1109/icdm.2015.116openalex-snapshot

Information Source Detection via Maximum A Posteriori Estimation

inferredcites →https://doi.org/10.1109/icdm.2015.117openalex-snapshot

Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective

inferredcites →https://doi.org/10.1109/isit.2013.6620711openalex-snapshot

Rooting out the rumor culprit from suspects

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Rooting our Rumor Sources in Online Social Networks: The Value of Diversity From Multiple Observations

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Sources of misinformation in Online Social Networks: Who to suspect?

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Rumors in a Network: Who's the Culprit?

inferredcites →https://doi.org/10.1109/tnet.2014.2364972openalex-snapshot

Information Source Detection in the SIR Model: A Sample-Path-Based Approach

inferredcites →https://doi.org/10.1109/tsipn.2017.2668141openalex-snapshot

Temporally Agnostic Rumor-Source Detection

inferredcites →https://doi.org/10.1109/tsmc.2016.2531690openalex-snapshot

Using Node Centrality and Optimal Control to Maximize Information Diffusion in Social Networks

inferredcites →https://doi.org/10.1109/tsmc.2016.2608419openalex-snapshot

A Cognitive Monitoring System for Detecting and Isolating Contaminants and Faults in Intelligent Buildings

inferredcites →https://doi.org/10.1109/tsmc.2016.2636240openalex-snapshot

Competitiveness Maximization on Complex Networks

inferredcites →https://doi.org/10.1109/tsmc.2017.2690827openalex-snapshot

Utility-Based Model for Characterizing the Evolution of Social Networks

inferredcites →https://doi.org/10.1109/tsp.2013.2256902openalex-snapshot

Identifying Infection Sources and Regions in Large Networks

inferredcites →https://doi.org/10.1117/1.2819119openalex-snapshot

Book Review: Pattern Recognition and Machine Learning

inferredcites →https://doi.org/10.1117/12.2023039openalex-snapshot

A fast Monte Carlo algorithm for source localization on graphs

inferredcites →https://doi.org/10.1126/science.286.5439.509openalex-snapshot

Emergence of Scaling in Random Networks

inferredcites →https://doi.org/10.1145/1217299.1217301openalex-snapshot

Graph evolution

inferredcites →https://doi.org/10.1145/1718487.1718518openalex-snapshot

Learning influence probabilities in social networks

inferredcites →https://doi.org/10.1145/1772690.1772756openalex-snapshot

Predicting positive and negative links in online social networks

inferredcites →https://doi.org/10.1145/1811039.1811063openalex-snapshot

Detecting sources of computer viruses in networks

inferredcites →https://doi.org/10.1145/1835804.1835937openalex-snapshot

Finding effectors in social networks

inferredcites →https://doi.org/10.1145/2187836.2187907openalex-snapshot

The role of social networks in information diffusion

inferredcites →https://doi.org/10.1145/2365952.2366005openalex-snapshot

Influential seed items recommendation

inferredcites →https://doi.org/10.1145/2492517.2492629openalex-snapshot

Recovering information recipients in social media via provenance

inferredcites →https://doi.org/10.1145/2505515.2505633openalex-snapshot

Seeking provenance of information using social media

inferredcites →https://doi.org/10.1145/2661829.2662009openalex-snapshot

Influence Maximization over Large-Scale Social Networks

inferredcites →https://doi.org/10.1145/2983323.2983817openalex-snapshot

Multiple Infection Sources Identification with Provable Guarantees

inferredcites →https://doi.org/10.1145/3046941openalex-snapshot

An Influence Propagation View of PageRank

inferredcites →https://doi.org/10.1145/3131781openalex-snapshot

Price Shock Detection With an Influence-Based Model of Social Attention

inferredcites →https://doi.org/10.1145/956750.956769openalex-snapshot

Maximizing the spread of influence through a social network

inferredcites →https://doi.org/10.12988/ams.2014.49693openalex-snapshot

Predicting the sources of an outbreak with a spectral technique

inferredcites →https://doi.org/10.1515/crll.1869.70.185openalex-snapshot

Sur les assemblages de lignes.

inferredcites →https://doi.org/10.5860/choice.44-5091openalex-snapshot

Pattern recognition and machine learning

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Bi-objective Source Hiding Method for Network Propagation

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Information Source Estimation with Multi-Channel Graph Neural Network

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Locating the propagation source in complex networks with observers-based similarity measures and direction-induced search

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The Propagation Background in Social Networks: Simulating and Modeling

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State of the art in rumor source detection: an in-depth survey

inferred← citeshttps://doi.org/10.1016/j.amc.2020.125093openalex-snapshot

Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control

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Source localization in complex networks with optimal observers based on maximum entropy sampling

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Locating the source node of diffusion process in cyber-physical networks via minimum observers

inferred← citeshttps://doi.org/10.1109/icc45855.2022.9838272openalex-snapshot

The Effect of Source Location on the Effectiveness of Source Detection in Finite Networks

inferred← citeshttps://doi.org/10.1109/infocom59046.2026.11571170openalex-snapshot

PLOS-RS: Probabilistic Localization of Odor Sources via Random Search

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Statistical Approach for Sky Clouds Density Classification

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Motives and Spread Pattern in Focus for Rumor Source Detection Using Class-Balanced Embedded MLP

inferred← citeshttps://doi.org/10.1109/tifs.2021.3050604openalex-snapshot

Information Sources Estimation in Time-Varying Networks

inferred← citeshttps://doi.org/10.1109/tits.2020.3010056openalex-snapshot

Multi-Robot Source Location of Scalar Fields by a Novel Swarm Search Mechanism With Collision/Obstacle Avoidance

inferred← citeshttps://doi.org/10.1109/tits.2023.3237570openalex-snapshot

PSO-Based Sparse Source Location in Large-Scale Environments With a UAV Swarm

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Using Tabu Search to Avoid Concave Obstacles for Source Location

inferred← citeshttps://doi.org/10.1109/tnse.2022.3153968openalex-snapshot

Locating Multi-Sources in Social Networks With a Low Infection Rate

inferred← citeshttps://doi.org/10.1109/tnse.2022.3186159openalex-snapshot

Locating Sources in Multiplex Networks for Linear Diffusion Systems

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On the Privacy Guarantees of Gossip Protocols in General Networks

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Random Full-Order-Coverage Based Rapid Source Localization With Limited Observations for Large-Scale Networks

inferred← citeshttps://doi.org/10.1109/tsmc.2019.2945055openalex-snapshot

A Binary Particle Swarm Optimizer With Priority Planning and Hierarchical Learning for Networked Epidemic Control

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Expensive Multiobjective Optimization Based on Information Transfer Surrogate

inferred← citeshttps://doi.org/10.1109/tsmc.2024.3448226openalex-snapshot

A Heuristic Framework for Sources Detection in Social Networks via Graph Convolutional Networks

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EPA

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Fighting False Information from Propagation Process: A Survey

inferred← citeshttps://doi.org/10.1371/journal.pone.0285563openalex-snapshot

Diffusion characteristics classification framework for identification of diffusion source in complex networks

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