On the public citation graph
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks
0 signed · 65 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/0364-0213(90)90002-eopenalex-snapshot
Finding structure in time
inferredcites →https://doi.org/10.1016/j.ins.2018.10.008openalex-snapshot
Iterative expectation maximization for reliable social sensing with information flows
inferredcites →https://doi.org/10.1016/j.physrep.2009.11.002openalex-snapshot
Community detection in graphs
inferredcites →https://doi.org/10.1016/j.physrep.2016.09.002openalex-snapshot
Community detection in networks: A user guide
inferredcites →https://doi.org/10.1073/pnas.1221839110openalex-snapshot
Efficient discovery of overlapping communities in massive networks
inferredcites →https://doi.org/10.1093/restud/rdr004openalex-snapshot
Bayesian Learning in Social Networks
inferredcites →https://doi.org/10.1109/bigdata.2017.8257911openalex-snapshot
Constraint-aware dynamic truth discovery in big data social media sensing
inferredcites →https://doi.org/10.1109/icdcs.2016.75openalex-snapshot
On Source Dependency Models for Reliable Social Sensing: Algorithms and Fundamental Error Bounds
inferredcites →https://doi.org/10.1109/icdcs.2017.56openalex-snapshot
Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing
inferredcites →https://doi.org/10.1109/icde.2017.60openalex-snapshot
LTD-RBM: Robust and Fast Latent Truth Discovery Using Restricted Boltzmann Machines
inferredcites →https://doi.org/10.1109/ipsn.2012.6920960openalex-snapshot
On truth discovery in social sensing: A maximum likelihood estimation approach
inferredcites →https://doi.org/10.1109/ipsn.2014.6846739openalex-snapshot
Using humans as sensors: An estimation-theoretic perspective
inferredcites →https://doi.org/10.1109/ipsn.2016.7460724openalex-snapshot
Topic-Aware Social Sensing with Arbitrary Source Dependency Graphs
inferredcites →https://doi.org/10.1109/jstsp.2014.2365757openalex-snapshot
Whose Opinion to Follow in Multihypothesis Social Learning? A Large Deviations Perspective
inferredcites →https://doi.org/10.1109/mass.2017.26openalex-snapshot
A Neural Network Approach for Truth Discovery in Social Sensing
inferredcites →https://doi.org/10.1109/tkde.2007.190745openalex-snapshot
Truth Discovery with Multiple Conflicting Information Providers on the Web
inferredcites →https://doi.org/10.1109/tkde.2016.2550041openalex-snapshot
Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2017.2755660openalex-snapshot
Personalized and Diverse Task Composition in Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2018.2797962openalex-snapshot
SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2018.2874003openalex-snapshot
Sequential Multi-Class Labeling in Crowdsourcing
inferredcites →https://doi.org/10.1109/tkde.2019.2936189openalex-snapshot
Truth Discovery by Claim and Source Embedding
inferredcites →https://doi.org/10.1109/tsipn.2019.2914610openalex-snapshot
Using Social Network Information in Community-Based Bayesian Truth Discovery
inferredcites →https://doi.org/10.1109/tsp.2015.2448525openalex-snapshot
Robust Decentralized Detection and Social Learning in Tandem Networks
inferredcites →https://doi.org/10.1145/2494232.2465761openalex-snapshot
Efficient crowdsourcing for multi-class labeling
inferredcites →https://doi.org/10.1145/2566486.2567989openalex-snapshot
Community-based bayesian aggregation models for crowdsourcing
inferredcites →https://doi.org/10.1145/2588555.2610509openalex-snapshot
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation
inferredcites →https://doi.org/10.1145/2818048.2819942openalex-snapshot
The Crowd is a Collaborative Network
inferredcites →https://doi.org/10.1145/2872427.2883036openalex-snapshot
The Communication Network Within the Crowd
inferredcites →https://doi.org/10.1145/2939672.2939837openalex-snapshot
From Truth Discovery to Trustworthy Opinion Discovery
inferredcites →https://doi.org/10.1145/3308558.3313459openalex-snapshot
Truth Inference at Scale: A Bayesian Model for Adjudicating Highly Redundant Crowd Annotations
inferredcites →https://doi.org/10.1162/jmlr.2003.3.4-5.993openalex-snapshot
10.1162/jmlr.2003.3.4-5.993
inferredcites →https://doi.org/10.1198/016214506000000302openalex-snapshot
Hierarchical Dirichlet Processes
inferredcites →https://doi.org/10.1214/06-ba104openalex-snapshot
Variational inference for Dirichlet process mixtures
inferredcites →https://doi.org/10.14778/1687627.1687690openalex-snapshot
Integrating conflicting data
inferredcites →https://doi.org/10.14778/2168651.2168656openalex-snapshot
A Bayesian approach to discovering truth from conflicting sources for data integration
inferredcites →https://doi.org/10.14778/2735496.2735505openalex-snapshot
A confidence-aware approach for truth discovery on long-tail data
inferredcites →https://doi.org/10.14778/3055540.3055547openalex-snapshot
Truth inference in crowdsourcing
inferredcites →https://doi.org/10.1609/aaai.v32i1.11764openalex-snapshot
Selective Verification Strategy for Learning From Crowds
inferredcites →https://doi.org/10.1609/hcomp.v3i1.13256openalex-snapshot
The ActiveCrowdToolkit: An Open-Source Tool for Benchmarking Active Learning Algorithms for Crowdsourcing Research
inferredcites →https://doi.org/10.21979/n9/l5ttrwopenalex-snapshot
Using social network information to discover truth of movie ranking
inferredcites →https://doi.org/10.23919/tst.2017.8195344openalex-snapshot
Truth discovery with memory network
inferredcites →https://doi.org/10.4230/lipics.wads.2025.45openalex-snapshot
Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences
inferredcites →https://doi.org/10.48550/arxiv.0705.4485openalex-snapshot
Mixed membership stochastic blockmodels
inferredcites →https://doi.org/10.48550/arxiv.1611.01144openalex-snapshot
Categorical Reparameterization with Gumbel-Softmax
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4691039openalex-extracted
Dependent Truth Discovery from Multiple Sources
inferred← citeshttps://doi.org/10.1007/978-981-97-2387-4_5openalex-snapshot
Truth Discovery Against Disguised Attack Mechanism in Crowdsourcing
inferred← citeshttps://doi.org/10.1007/978-981-97-5569-1_35openalex-snapshot
Dynamic Confidence-aware Truth Discovery on Unevenly Distributed Data Streams
inferred← citeshttps://doi.org/10.1007/s00778-022-00757-xopenalex-snapshot
Enhancing domain-aware multi-truth data fusion using copy-based source authority and value similarity
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.131992openalex-snapshot
Robust federated learning for dynamic and heterogeneous environments: an adaptive client selection approach
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124252openalex-snapshot
Semantics-aware truth discovery based on semi-supervised representation refinement
inferred← citeshttps://doi.org/10.1109/ddcls61622.2024.10606703openalex-snapshot
Trustworthiness Evaluation of Internet of Vehicles Nodes Based on Real-Time Perception and Long-Term Reputation
inferred← citeshttps://doi.org/10.1109/globecom59602.2025.11432297openalex-snapshot
A Truth Discovery Method for Mobile Crowd Sensing in Mines Based on a Hybrid Bi-LSTM/GRU Network
inferred← citeshttps://doi.org/10.1109/iccsmt58129.2022.00100openalex-snapshot
An ensemble approach: Combining Wisdom from Truth Discovery Methods
inferred← citeshttps://doi.org/10.1109/ojcs.2023.3326150openalex-snapshot
Finding the Truth From Uncertain Time Series by Differencing
inferred← citeshttps://doi.org/10.1109/tai.2025.3577601openalex-snapshot
Deep Variational Autoencoder-Based Parameter Learning of Bayesian Network With Multiple Latent Variables
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3378098openalex-snapshot
3A Multi-Classification Division-Aggregation Framework for Fake News Detection
inferred← citeshttps://doi.org/10.1109/tbdata.2024.3423677openalex-snapshot
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
inferred← citeshttps://doi.org/10.1109/tifs.2022.3219342openalex-snapshot
A2S2-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks
inferred← citeshttps://doi.org/10.1109/tmc.2024.3428542openalex-snapshot
Mobile Crowdsensing Ecosystem With Combinatorial Multi-Armed Bandit-Based Dynamic Truth Discovery
inferred← citeshttps://doi.org/10.1109/tnet.2021.3085000openalex-snapshot
Seeking the Truth in a Decentralized Manner
inferred← citeshttps://doi.org/10.1145/3630102openalex-snapshot
A Lightweight, Effective, and Efficient Model for Label Aggregation in Crowdsourcing
inferred← citeshttps://doi.org/10.19053/uptc.16923936.v22.n44.2024.18866openalex-snapshot
El derecho a la verdad. Reto científico entre una categoría especial de derecho humano emergente, o componente del derecho a la Paz
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.