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Influence maximization by probing partial communities in dynamic online social networks

https://doi.org/10.1002/ett.3054
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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/ett.2814openalex-snapshot
Information‐centric networking for multimedia, social and peer‐to‐peer communications
inferredcites →https://doi.org/10.1002/ett.2889openalex-snapshot
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Steganalysis of least significant bit matching using multi‐order differences
inferredcites →https://doi.org/10.1007/11564126_17openalex-snapshot
Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication
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Prediction of Information Diffusion Probabilities for Independent Cascade Model
inferredcites →https://doi.org/10.1007/s10618-012-0262-1openalex-snapshot
Scalable influence maximization for independent cascade model in large-scale social networks
inferredcites →https://doi.org/10.1007/s10878-013-9684-yopenalex-snapshot
Neighborhood-based uncertainty generation in social networks
inferredcites →https://doi.org/10.1007/s11280-004-4872-4openalex-snapshot
On the Bursty Evolution of Blogspace
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.004openalex-snapshot
An exploration of broader influence maximization in timeliness networks with opportunistic selection
inferredcites →https://doi.org/10.1016/j.neunet.2015.03.013openalex-snapshot
Incremental learning for ν -Support Vector Regression
inferredcites →https://doi.org/10.1016/j.promfg.2015.07.938openalex-snapshot
Analysis of Opinion Evolution in a Multi-cultural Student Social Network
inferredcites →https://doi.org/10.1038/30918openalex-snapshot
Collective dynamics of ‘small-world’ networks
inferredcites →https://doi.org/10.1103/physreve.76.036106openalex-snapshot
Near linear time algorithm to detect community structures in large-scale networks
inferredcites →https://doi.org/10.1109/icdcs.2015.29openalex-snapshot
Modeling Propagation Dynamics and Developing Optimized Countermeasures for Rumor Spreading in Online Social Networks
inferredcites →https://doi.org/10.1109/icdm.2013.145openalex-snapshot
Influence Maximization in Dynamic Social Networks
inferredcites →https://doi.org/10.1109/infocom.2016.7524471openalex-snapshot
Using crowdsourced data in location-based social networks to explore influence maximization
inferredcites →https://doi.org/10.1109/tpds.2015.2506573openalex-snapshot
Enabling Personalized Search over Encrypted Outsourced Data with Efficiency Improvement
inferredcites →https://doi.org/10.1145/1281192.1281239openalex-snapshot
Cost-effective outbreak detection in networks
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A measurement-driven analysis of information propagation in the flickr social network
inferredcites →https://doi.org/10.1145/1557019.1557047openalex-snapshot
Efficient influence maximization in social networks
inferredcites →https://doi.org/10.1145/1557019.1557108openalex-snapshot
Social influence analysis in large-scale networks
inferredcites →https://doi.org/10.1145/1718487.1718518openalex-snapshot
Learning influence probabilities in social networks
inferredcites →https://doi.org/10.1145/1835804.1835934openalex-snapshot
Scalable influence maximization for prevalent viral marketing in large-scale social networks
inferredcites →https://doi.org/10.1145/1835804.1835935openalex-snapshot
Community-based greedy algorithm for mining top-K influential nodes in mobile social networks
inferredcites →https://doi.org/10.1145/1963192.1963217openalex-snapshot
CELF++
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Who will follow you back?
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PatentMiner
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Modeling dynamic behavior in large evolving graphs
inferredcites →https://doi.org/10.1145/2487575.2487691openalex-snapshot
Confluence
inferredcites →https://doi.org/10.1145/2588555.2593670openalex-snapshot
Influence maximization
inferredcites →https://doi.org/10.1145/956750.956769openalex-snapshot
Maximizing the spread of influence through a social network
inferredcites →https://doi.org/10.1186/1471-2105-16-s5-s8openalex-snapshot
Re-alignment of the unmapped reads with base quality score
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Graph clustering based on structural/attribute similarities
inferredcites →https://doi.org/10.14778/2047485.2047492openalex-snapshot
A data-based approach to social influence maximization
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Influential community search in large networks
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Achieving Efficient Cloud Search Services: Multi-Keyword Ranked Search over Encrypted Cloud Data Supporting Parallel Computing
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Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems
inferredcites →https://doi.org/10.5963/jcei0102002openalex-snapshot
Learning Asynchronous-Time Information Diffusion Models and Its Application to Behavioral Data Analysis over Social Networks

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.4658122openalex-extracted
Influential Nodes Detection in Multiplex Social Networks: A Comprehensive Study
inferred← citeshttps://doi.org/10.1002/cpe.5692openalex-snapshot
Opinion leaders' detection in dynamic social networks
inferred← citeshttps://doi.org/10.1007/978-3-030-04651-4_47openalex-snapshot
On the Complexity of Resilience for Aggregation Queries
inferred← citeshttps://doi.org/10.1007/978-3-030-37484-6_4openalex-snapshot
Community Based Emotional Behaviour Using Ekman’s Emotional Scale
inferred← citeshttps://doi.org/10.1007/978-3-030-59016-1_1openalex-snapshot
Reinforcement Learning Based Group Event Invitation Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-030-60796-8_43openalex-snapshot
An Adaptive Seed Node Mining Algorithm Based on Graph Clustering to Maximize the Influence of Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-94953-1_19openalex-snapshot
Influence Maximization in Dynamic Social Networks by Probing Communities
inferred← citeshttps://doi.org/10.1007/978-3-319-59575-7_33openalex-snapshot
Differential Privacy Preserving Genomic Data Releasing via Factor Graph
inferred← citeshttps://doi.org/10.1007/978-3-319-60033-8_23openalex-snapshot
Fair Multi-influence Maximization in Competitive Social Networks
inferred← citeshttps://doi.org/10.1007/s11042-021-11606-4openalex-snapshot
GNPA: a hybrid model for social influence maximization in dynamic networks
inferred← citeshttps://doi.org/10.1007/s11227-017-1976-zopenalex-snapshot
An attribute-based community search method with graph refining
inferred← citeshttps://doi.org/10.1007/s11280-018-0607-9openalex-snapshot
Minimum cost seed set for threshold influence problem under competitive models
inferred← citeshttps://doi.org/10.1007/s11280-018-0651-5openalex-snapshot
Cost-efficient viral marketing in online social networks
inferred← citeshttps://doi.org/10.1007/s11280-021-00935-xopenalex-snapshot
Community-based influence maximization in location-based social network
inferred← citeshttps://doi.org/10.1007/s41109-023-00594-zopenalex-snapshot
Link prediction for ex ante influence maximization on temporal networks
inferred← citeshttps://doi.org/10.1007/s41109-024-00625-3openalex-snapshot
Influence maximization on temporal networks: a review
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110062openalex-snapshot
ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.111867openalex-snapshot
A resilience control method for mitigating the sudden change in online group opinion based on Q-Learning and PSO
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.109693openalex-snapshot
Dominant coverage for target users at the lowest cost under competitive propagation in social networks
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125990openalex-snapshot
A theoretical review on multiplex influence maximization models: Theories, methods, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.future.2018.07.015openalex-snapshot
Influence maximization in large social networks: Heuristics, models and parameters
inferred← citeshttps://doi.org/10.1016/j.ins.2018.03.048openalex-snapshot
Exploring influence maximization in online and offline double-layer propagation scheme
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.06.013openalex-snapshot
Maximizing the spread of influence via the collective intelligence of discrete bat algorithm
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.04.084openalex-snapshot
Link prediction-based influence maximization in online social networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126936openalex-snapshot
Influence maximization algorithm based on group trust and local topology structure
inferred← citeshttps://doi.org/10.1016/j.physa.2016.11.029openalex-snapshot
Deep community detection in topologically incomplete networks
inferred← citeshttps://doi.org/10.1016/j.physa.2019.04.202openalex-snapshot
Efficient and effective influence maximization in large-scale social networks via two frameworks
inferred← citeshttps://doi.org/10.1016/j.physa.2021.126480openalex-snapshot
An improved influence maximization method for social networks based on genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.procs.2020.06.037openalex-snapshot
Efficient Influence Maximization in Social-Networks Under Independent Cascade Model
inferred← citeshttps://doi.org/10.1016/j.tcs.2019.07.032openalex-snapshot
Community based acceptance probability maximization for target users on social networks: Algorithms and analysis
inferred← citeshttps://doi.org/10.1016/j.tcs.2020.06.008openalex-snapshot
Target users' activation probability maximization with different seed set constraints in social networks
inferred← citeshttps://doi.org/10.1016/j.tele.2018.11.008openalex-snapshot
A trust model for analysis of trust, influence and their relationship in social network communities
inferred← citeshttps://doi.org/10.1088/1742-6596/1631/1/012064openalex-snapshot
Research on a Novel Influence Maximization Algorithm Based on Community Structure
inferred← citeshttps://doi.org/10.1103/physreve.102.042307openalex-snapshot
Influence maximization on temporal networks
inferred← citeshttps://doi.org/10.1103/physreve.106.034301openalex-snapshot
Effective submodularity of influence maximization on temporal networks
inferred← citeshttps://doi.org/10.1109/access.2018.2805464openalex-snapshot
Cognitive Approach for Location Privacy Protection
inferred← citeshttps://doi.org/10.1109/access.2019.2925905openalex-snapshot
An Adaptive Model for Identification of Influential Bloggers Based on Case-Based Reasoning Using Random Forest
inferred← citeshttps://doi.org/10.1109/access.2020.3048610openalex-snapshot
Predicting Influential Blogger’s by a Novel, Hybrid and Optimized Case Based Reasoning Approach With Balanced Random Forest Using Imbalanced Data
inferred← citeshttps://doi.org/10.1109/access.2026.3663417openalex-snapshot
NAMSA: A Non-Dominated Archived Multi-Objective Simulated Annealing Algorithm for Detecting Influencers in Social Networks
inferred← citeshttps://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.36openalex-snapshot
A Task Recommendation Model for Mobile Crowdsourcing Systems Based on Dwell-Time
inferred← citeshttps://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.44openalex-snapshot
An Efficient Social Event Invitation Framework Based on Historical Data of Smart Devices
inferred← citeshttps://doi.org/10.1109/bdcloud-socialcom-sustaincom.2016.51openalex-snapshot
Privacy Reserved Influence Maximization in GPS-Enabled Cyber-Physical and Online Social Networks
inferred← citeshttps://doi.org/10.1109/cscloud-edgecom54986.2022.00028openalex-snapshot
Maximizing the Influence in Dynamic Social Networks: An Entropy-Based Linear Threshold Model
inferred← citeshttps://doi.org/10.1109/dsaa53316.2021.9564111openalex-snapshot
NEDRL-CIM:Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks
inferred← citeshttps://doi.org/10.1109/jiot.2017.2679483openalex-snapshot
Follow But No Track: Privacy Preserved Profile Publishing in Cyber-Physical Social Systems
inferred← citeshttps://doi.org/10.1109/msn.2016.009openalex-snapshot
The Roles of Social Network Mavens
inferred← citeshttps://doi.org/10.1109/swc62898.2024.00108openalex-snapshot
Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata
inferred← citeshttps://doi.org/10.1109/tbdata.2016.2625307openalex-snapshot
Exploiting Efficient Densest Subgraph Discovering Methods for Big Data
inferred← citeshttps://doi.org/10.1109/tcss.2019.2921422openalex-snapshot
A Second-Order Diffusion Model for Influence Maximization in Social Networks
inferred← citeshttps://doi.org/10.1109/tkde.2018.2840998openalex-snapshot
Viral Cascade Probability Estimation and Maximization in Diffusion Networks
inferred← citeshttps://doi.org/10.1109/tkde.2019.2934447openalex-snapshot
Influence Analysis in Evolving Networks: A Survey
inferred← citeshttps://doi.org/10.1109/tnse.2018.2801798openalex-snapshot
A Fair Mechanism for Private Data Publication in Online Social Networks
inferred← citeshttps://doi.org/10.1109/tnse.2024.3362903openalex-snapshot
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology
inferred← citeshttps://doi.org/10.1109/tvt.2017.2780228openalex-snapshot
Exploiting Active Sub-areas for Multi-copy Routing in VDTNs
inferred← citeshttps://doi.org/10.1145/3125649.3125652openalex-snapshot
Information Privacy of Cyber Transportation System
inferred← citeshttps://doi.org/10.1145/3301286openalex-snapshot
Identifying Top- k Nodes in Social Networks
inferred← citeshttps://doi.org/10.1145/3539732openalex-snapshot
Social Network Analysis: A Survey on Measure, Structure, Language Information Analysis, Privacy, and Applications
inferred← citeshttps://doi.org/10.1155/2022/6329014openalex-snapshot
Research on Fake News Detection Based on Diffusion Growth Rate
inferred← citeshttps://doi.org/10.1177/15501477211004112openalex-snapshot
Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence–powered Internet of Things
inferred← citeshttps://doi.org/10.1186/s13638-019-1405-5openalex-snapshot
Context-based influence maximization with privacy protection in social networks
inferred← citeshttps://doi.org/10.1186/s40649-021-00088-xopenalex-snapshot
Understanding social media beyond text: a reliable practice on Twitter
inferred← citeshttps://doi.org/10.1504/ijcse.2017.10008085openalex-snapshot
Time constraint influence maximization algorithm in the age of big data
inferred← citeshttps://doi.org/10.17559/tv-20181105122320openalex-snapshot
Maximum Recommendation in Geo-social Network for Business
inferred← citeshttps://doi.org/10.26599/bdma.2018.9020034openalex-snapshot
Spreading social influence with both positive and negative opinions in online networks
inferred← citeshttps://doi.org/10.26599/bdma.2020.9020006openalex-snapshot
Survey on data analysis in social media: A practical application aspect
inferred← citeshttps://doi.org/10.3390/land11030338openalex-snapshot
Selecting Graph Metrics with Ecological Significance for Deepening Landscape Characterization: Review and Applications
inferred← citeshttps://doi.org/10.3390/s17010138openalex-snapshot
Adaptive Information Dissemination Control to Provide Diffdelay for the Internet of Things
inferred← citeshttps://doi.org/10.4108/eai.13-7-2017.2270271openalex-snapshot
Smart and Private Social Activity Invitation Framework Based on Historical Data from Smart Devices
inferred← citeshttps://doi.org/10.4108/eai.13-7-2018.162690openalex-snapshot
Criminal Network Community Detection Using Graphical Analytic Methods: A Survey
inferred← citeshttps://doi.org/10.48550/arxiv.2010.10950openalex-snapshot
Influence Maximization on Dynamic Social Networks with Conjugate Learning Automata
inferred← citeshttps://doi.org/10.57709/12479456openalex-snapshot
Privacy Leakage through Sensory Data on Smart Devices
inferred← citeshttps://doi.org/10.57709/12535402openalex-snapshot
Data Collection and Aggregation in Mobile Sensing
inferred← citeshttps://doi.org/10.57709/14853423openalex-snapshot
Game Theory Based Privacy Protection for Context-Aware Services
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