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A new learning automata‐based sampling algorithm for social networks

https://doi.org/10.1002/dac.3091
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What this work says

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

inferredcites →https://doi.org/10.1002/dac.1380openalex-snapshot
Mobile social networks: state‐of‐the‐art and a new vision
inferredcites →https://doi.org/10.1002/dac.2343openalex-snapshot
On low‐complexity adaptive wireless push‐based data broadcasting
inferredcites →https://doi.org/10.1002/dac.2375openalex-snapshot
On the efficient use of multiple channels by single‐receiver clients in wireless data broadcasting
inferredcites →https://doi.org/10.1002/dac.2630openalex-snapshot
Virus infection control in online social networks based on probabilistic communities
inferredcites →https://doi.org/10.1002/dac.2648openalex-snapshot
Performance fairness across multiple applications in wireless push systems
inferredcites →https://doi.org/10.1002/dac.2704openalex-snapshot
Stochastic learning automata‐based channel selection in cognitive radio/dynamic spectrum access for WiMAX networks
inferredcites →https://doi.org/10.1002/dac.2815openalex-snapshot
Sampling from social network to maintain community structure
inferredcites →https://doi.org/10.1002/dac.2857openalex-snapshot
Bio‐inspired packet dropping for ad‐hoc social networks
inferredcites →https://doi.org/10.1002/dac.2908openalex-snapshot
User communities and contents co‐ranking for user‐generated content quality evaluation in social networks
inferredcites →https://doi.org/10.1002/dac.2977openalex-snapshot
A distributed adaptive landmark clustering algorithm based onmOverlayandlearning automatafor topology mismatch problem in unstructured peer‐to‐peer networks
inferredcites →https://doi.org/10.1002/sec.867openalex-snapshot
Secure socket layer certificate verification: a learning automata approach
inferredcites →https://doi.org/10.1007/978-3-642-31235-9_13openalex-snapshot
Sampling Connected Induced Subgraphs Uniformly at Random
inferredcites →https://doi.org/10.1007/978-3-642-32063-7_47openalex-snapshot
A Novel Community Detection Algorithm for Privacy Preservation in Social Networks
inferredcites →https://doi.org/10.1007/s00607-013-0337-xopenalex-snapshot
Grid resource discovery based on distributed learning automata
inferredcites →https://doi.org/10.1007/s10489-014-0577-2openalex-snapshot
Extended distributed learning automata
inferredcites →https://doi.org/10.1007/s11227-014-1289-4openalex-snapshot
Distributed optimization Grid resource discovery
inferredcites →https://doi.org/10.1007/s11277-014-1616-3openalex-snapshot
Learning Automata Based Face-Aware Mobicast
inferredcites →https://doi.org/10.1016/j.eswa.2009.06.010openalex-snapshot
Effective page recommendation algorithms based on distributed learning automata and weighted association rules
inferredcites →https://doi.org/10.1016/j.ins.2012.02.057openalex-snapshot
Finding minimum weight connected dominating set in stochastic graph based on learning automata
inferredcites →https://doi.org/10.1016/j.jpdc.2009.10.002openalex-snapshot
Clustering the wireless Ad Hoc networks: A distributed learning automata approach
inferredcites →https://doi.org/10.1016/j.physa.2013.11.015openalex-snapshot
Sampling from complex networks using distributed learning automata
inferredcites →https://doi.org/10.1017/cbo9781139015165openalex-snapshot
Graph Algorithms
inferredcites →https://doi.org/10.1038/30918openalex-snapshot
Collective dynamics of ‘small-world’ networks
inferredcites →https://doi.org/10.1063/1.4712602openalex-snapshot
Sampling from complex networks with high community structures
inferredcites →https://doi.org/10.1073/pnas.1000261107openalex-snapshot
Assessing respondent-driven sampling
inferredcites →https://doi.org/10.1080/01969722.2015.1082407openalex-snapshot
Finding Minimum Vertex Covering in Stochastic Graphs: A Learning Automata Approach
inferredcites →https://doi.org/10.1103/physreve.73.016102openalex-snapshot
Statistical properties of sampled networks
inferredcites →https://doi.org/10.1103/physreve.75.046114openalex-snapshot
Statistical properties of sampled networks by random walks
inferredcites →https://doi.org/10.1109/cason.2012.6412388openalex-snapshot
Solving maximum clique problem in stochastic graphs using learning automata
inferredcites →https://doi.org/10.1109/cyberc.2011.63openalex-snapshot
Unbiased Sampling of Bipartite Graph
inferredcites →https://doi.org/10.1109/dasc.2011.196openalex-snapshot
Characterizing Twitter with Respondent-Driven Sampling
inferredcites →https://doi.org/10.1109/infcom.2010.5462078openalex-snapshot
Walking in Facebook: A Case Study of Unbiased Sampling of OSNs
inferredcites →https://doi.org/10.1109/infcom.2012.6195540openalex-snapshot
Sampling directed graphs with random walks
inferredcites →https://doi.org/10.1109/itc.2010.5608727openalex-snapshot
On the bias of BFS (Breadth First Search)
inferredcites →https://doi.org/10.1109/jsac.2011.111005openalex-snapshot
Towards Unbiased BFS Sampling
inferredcites →https://doi.org/10.1109/jsac.2011.111012openalex-snapshot
Multigraph Sampling of Online Social Networks
inferredcites →https://doi.org/10.1109/jsac.2013.130604openalex-snapshot
On Set Size Distribution Estimation and the Characterization of Large Networks via Sampling
inferredcites →https://doi.org/10.1109/jsyst.2014.2335451openalex-snapshot
Collaborative Learning Automata-Based Routing for Rescue Operations in Dense Urban Regions Using Vehicular Sensor Networks
inferredcites →https://doi.org/10.1109/jsyst.2014.2355113openalex-snapshot
Collaborative-Learning-Automata-Based Channel Assignment With Topology Preservation for Wireless Mesh Networks Under QoS Constraints
inferredcites →https://doi.org/10.1109/mcom.2013.6400445openalex-snapshot
Learning automata as a utility for power management in smart grids
inferredcites →https://doi.org/10.1109/mnet.2010.5578916openalex-snapshot
Sizing up online social networks
inferredcites →https://doi.org/10.1109/mwc.2014.7000970openalex-snapshot
Networks of learning automata for the vehicular environment: a performance analysis study
inferredcites →https://doi.org/10.1109/tcc.2014.2305151openalex-snapshot
Decreasing Impact of SLA Violations:A Proactive Resource Allocation Approachfor Cloud Computing Environments
inferredcites →https://doi.org/10.1109/tits.2014.2354372openalex-snapshot
Intelligent Mobile Video Surveillance System as a Bayesian Coalition Game in Vehicular Sensor Networks: Learning Automata Approach
inferredcites →https://doi.org/10.1109/tkde.2011.254openalex-snapshot
Sampling Online Social Networks
inferredcites →https://doi.org/10.1109/tsmc.1987.6499323openalex-snapshot
Learning automata with changing number of actions
inferredcites →https://doi.org/10.1111/j.1467-9531.2010.01223.xopenalex-snapshot
7. Respondent-Driven Sampling: An Assessment of Current Methodology
inferredcites →https://doi.org/10.1126/science.286.5439.509openalex-snapshot
Emergence of Scaling in Random Networks
inferredcites →https://doi.org/10.1140/epjb/e2004-00316-5openalex-snapshot
Problems with fitting to the power-law distribution
inferredcites →https://doi.org/10.1140/epjb/e2007-00033-7openalex-snapshot
Reliability of rank order in sampled networks
inferredcites →https://doi.org/10.1142/s0129183114400075openalex-snapshot
An improved sampling method of complex network
inferredcites →https://doi.org/10.1142/s0218488506004217openalex-snapshot
UTILIZING DISTRIBUTED LEARNING AUTOMATA TO SOLVE STOCHASTIC SHORTEST PATH PROBLEMS
inferredcites →https://doi.org/10.1142/s0218488515500014openalex-snapshot
Finding Maximum Clique in Stochastic Graphs Using Distributed Learning Automata
inferredcites →https://doi.org/10.1145/1150402.1150479openalex-snapshot
Sampling from large graphs
inferredcites →https://doi.org/10.1145/1772690.1772762openalex-snapshot
Sampling community structure
inferredcites →https://doi.org/10.1145/1879141.1879192openalex-snapshot
Estimating and sampling graphs with multidimensional random walks
inferredcites →https://doi.org/10.1145/1993744.1993773openalex-snapshot
Walking on a graph with a magnifying glass
inferredcites →https://doi.org/10.1145/2000172.2000178openalex-snapshot
Albatross sampling
inferredcites →https://doi.org/10.1145/2007116.2007145openalex-snapshot
Walking on a graph with a magnifying glass
inferredcites →https://doi.org/10.1145/2187980.2188235openalex-snapshot
A fast algorithm to find all high degree vertices in power law graphs
inferredcites →https://doi.org/10.1145/2254756.2254795openalex-snapshot
Beyond random walk and metropolis-hastings samplers
inferredcites →https://doi.org/10.1145/2392622.2392628openalex-snapshot
Sampling online social networks by random walk
inferredcites →https://doi.org/10.1145/2487788.2487879openalex-snapshot
Semantically sampling in heterogeneous social networks
inferredcites →https://doi.org/10.1145/2487788.2487880openalex-snapshot
Sampling bias in user attribute estimation of OSNs
inferredcites →https://doi.org/10.4135/9781446294413.n26openalex-snapshot
Survey Sampling in Networks
inferredcites →https://doi.org/10.5860/choice.49-1790openalex-snapshot
The SAGE handbook of social network analysis

What points at this work

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

inferred← citeshttps://doi.org/10.1002/dac.3387openalex-snapshot
A novel organizing scheme of single topic user group based on trust chain model in social network
inferred← citeshttps://doi.org/10.1002/dac.3490openalex-snapshot
Toward a hierarchical and architecture‐based virtual machine allocation in cloud data centers
inferred← citeshttps://doi.org/10.1002/dac.3707openalex-snapshot
Channel estimation based on learning automata for OFDM systems
inferred← citeshttps://doi.org/10.1007/978-3-030-10767-3_1openalex-snapshot
Introduction to Learning Automata Models
inferred← citeshttps://doi.org/10.1007/978-3-030-10767-3_4openalex-snapshot
Social Network Sampling
inferred← citeshttps://doi.org/10.1007/978-3-030-10767-3_8openalex-snapshot
Social Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-030-10883-0_4openalex-snapshot
Conclusions and Future Directions
inferred← citeshttps://doi.org/10.1007/978-3-030-20965-0_11openalex-snapshot
Assessing Criticality in Experiments
inferred← citeshttps://doi.org/10.1007/978-3-030-53141-6_1openalex-snapshot
Varieties of Cellular Learning Automata: An Overview
inferred← citeshttps://doi.org/10.1007/978-3-030-76291-9_1openalex-snapshot
An Introduction to Learning Automata and Optimization
inferred← citeshttps://doi.org/10.1007/s00138-016-0788-0openalex-snapshot
Motion estimation using learning automata
inferred← citeshttps://doi.org/10.1007/s00521-021-06777-yopenalex-snapshot
A novel reduced parameter s-model of estimator learning automata in the switching non-stationary environment
inferred← citeshttps://doi.org/10.1007/s10489-017-0987-zopenalex-snapshot
Minimum positive influence dominating set and its application in influence maximization: a learning automata approach
inferred← citeshttps://doi.org/10.1007/s10489-017-1005-1openalex-snapshot
A streaming sampling algorithm for social activity networks using fixed structure learning automata
inferred← citeshttps://doi.org/10.1007/s10878-020-00605-0openalex-snapshot
A rapid learning automata-based approach for generalized minimum spanning tree problem
inferred← citeshttps://doi.org/10.1007/s11227-021-03905-2openalex-snapshot
Sampling in weighted social networks using a levy flight-based learning automata
inferred← citeshttps://doi.org/10.1007/s13278-016-0371-8openalex-snapshot
Sampling algorithms for weighted networks
inferred← citeshttps://doi.org/10.1007/s13278-021-00836-xopenalex-snapshot
CS- and GA-based hybrid evolutionary sampling algorithm for large-scale social networks
inferred← citeshttps://doi.org/10.1016/j.chb.2016.07.032openalex-snapshot
Stochastic graph as a model for social networks
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.049openalex-snapshot
A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment
inferred← citeshttps://doi.org/10.1016/j.jocs.2017.09.008openalex-snapshot
Learning Automata Clustering
inferred← citeshttps://doi.org/10.1016/j.jocs.2017.10.005openalex-snapshot
A Michigan memetic algorithm for solving the vertex coloring problem
inferred← citeshttps://doi.org/10.1016/j.jocs.2017.10.009openalex-snapshot
A new cellular learning automata-based algorithm for community detection in complex social networks
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.04.012openalex-snapshot
Sampling algorithms for stochastic graphs: A learning automata approach
inferred← citeshttps://doi.org/10.1016/j.knosys.2017.06.034openalex-snapshot
Trust propagation algorithm based on learning automata for inferring local trust in online social networks
inferred← citeshttps://doi.org/10.1038/s41598-023-33010-8openalex-snapshot
A new stochastic diffusion model for influence maximization in social networks
inferred← citeshttps://doi.org/10.1109/access.2020.2989504openalex-snapshot
Fast Representative Sampling in Large-Scale Online Social Networks
inferred← citeshttps://doi.org/10.1109/ikt.2016.7777792openalex-snapshot
An adaptive algorithm for managing gradient topology in peer-to-peer networks
inferred← citeshttps://doi.org/10.1109/tnet.2023.3237978openalex-snapshot
Predicting Learning Interactions in Social Learning Networks: A Deep Learning Enabled Approach
inferred← citeshttps://doi.org/10.1111/coin.12148openalex-snapshot
Balancing exploration and exploitation in memetic algorithms: A learning automata approach
inferred← citeshttps://doi.org/10.22133/ijwr.2018.91426openalex-snapshot
Modeling the Information Spreading in Online Blog Communities Using Learning Automata
inferred← citeshttps://doi.org/10.48550/arxiv.1907.06768openalex-snapshot
Partitioning Graphs for the Cloud using Reinforcement Learning
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