*Image from Ding Zhu-Du
A list of influence maximization and influence learning papers, organized based on the type of data they rely on, their aim and their constraints:
Mining the network value of customers
Maximizing the spread of influence through a social network
Influential nodes in a diffusion model for social networks
On the submodularity of influence in social networks
Cost-effective outbreak detection in networks
Efficient influence maximization in social networks
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Simpath: An efficient Algorithm for Influence Maximization under the Linear Threshold model
** Simulated annealing based influence maximization in social networks **
Irie: Scalable and robust influence maximization in social networks
Scalable and parallelizable processing of influence maximization for large-scale social networks?
Staticgreedy: solving the scalability-accuracy dilemma in influence maximization
On budgeted influence maximization in social networks
Latency-Bounded Target Set Selection in Social Networks
Fast and accurate influence maximization on large networks with pruned monte-carlo simulations
Maximizing social influence in nearly optimal time
IMRank: influence maximization via finding self-consistent ranking
Sketch-based Influence Maximization and Computation: Scaling up with Guarantees
Influence maximization: Near-optimal time complexity meets practical efficiency
Fast and accurate influence maximization on large networks with pruned monte-carlo simulations
Influence maximization in near-linear time: A martingale approach
A genetic newgreedy algorithm for influence maximization in social network
Asim: A scalable algorithm for influence maximization under the independent cascade model
On the upper bounds of spread for greedy algorithms in social network influence maximization
Better approximation algorithms for influence maximization in online social networks
A fast and effective heuristic for discovering small target sets in social networks
A fast algorithm for finding most influential people based on the linear threshold model
Influence maximization in social networks with genetic algorithms
Stop-and-stare: Optimal sampling algorithms for viral marketing in billion-scale networks
Influence Maximization in Social Networks Based on Discrete Particle Swarm Optimization
Holistic influence maximization: Combining scalability and efficiency with opinion-aware models
Holistic influence maximization: Combining scalability and efficiency with opinion-aware models
INCIM: A community-based algorithm for influence maximization problem under the linear threshold model
Diffusion centrality: a paradigm to maximize spread in social networks
Revisiting the stop-and-stare algorithms for influence maximization
Social influence spectrum at scale: near-optimal solutions for multiple budgets at once
Leveraging cross-network information for graph sparsification in influence maximization
A billion-scale approximation algorithm for maximizing benefit in viral marketing
On the approximability of influence in social networks
Optimizing influence diffusion in a social network with fuzzy costs for targeting nodes
MATI: An efficient algorithm for influence maximization in social networks
An Inapproximability Result for the Target Set Selection Problem on Bipartite Graphs.
An efficient and effective hop-based approach for influence maximization in social networks
Community-based seeds selection algorithm for location aware influence maximization
Maximizing positive influence spread in online social networks via fluid dynamics
Scalable Lattice Influence Maximization
Influence Maximization in Signed Social Networks with Opinion Formation
LAPSO-IM: A learning-based influence maximization approach for social networks
Self-Activation Influence Maximization
A Centrality Measure for Influence Maximization Across Multiple Social Networks
Accelerating influence maximization using heterogeneous algorithms
Efficient Influence Maximization Under Network Uncertainty
Influence Maximization on Large-Scale Networks with a Group-Based Method via Network Embedding
A Multi-criteria Approximation Algorithm for Influence Maximization with Probabilistic Guarantees
"Robust Influence Maximization for Hyperparametric Models
An Exact Algorithm for Robust Influence Maximization
Tiptop:(almost) exact solutions for influence maximization in billion-scale networks
Group-fairness in influence maximization
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Sample Complexity Bounds for Influence Maximization
Sample Complexity Bounds for Influence Maximization
Earned Benefit Maximization in Social Networks Under Budget Constraint
Continuous Influence Maximization
Targeted Influence Maximization Based on Cloud Computing Over Big Data in Social Networks
Influence maximization through user interaction modeling
A Unifying Framework for Fairness-Aware Influence Maximization
The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches
Cores matter? An analysis of graph decomposition effects on influence maximization problems
CutTheTail: An Accurate and Space-Efficient Heuristic Algorithm for Influence Maximization
A Unifying Framework for Fairness-Aware Influence Maximization
Improving Fairness of Influence Maximization in Social Networks Using Grey Wolf Optimizer
Influence Maximization with Priority in Online Social Networks
Geodemographic Influence Maximization
Taxonomy of Influence Maximization Techniques in Unknown Social Networks
Time-critical influence maximization in social networks with time-delayed diffusion process
Time constrained influence maximization in social networks
Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships
Influence spreading path and its application to the time constrained social influence maximization problem and beyond
Maximizing rumor containment in social networks with constrained time
Influence spreading path and its application to the time constrained social influence maximization problem and beyond
Cost-effective viral marketing for time-critical campaigns in large-scale social networks
Influence maximization with novelty decay in social networks
Time-sensitive influence maximization in social networks
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization
Credit distribution for influence maximization in online social networks with time constraint
Towards time-discounted influence maximization
Maximizing time-decaying influence in social networks
Time-sensitive influence maximization in social networks
Influence Maximization: A Time-Space Efficient Algorithm
On the Fairness of Time-Critical Influence Maximization in Social Networks
Influence maximization on undirected graphs: Towards closing the (1-1/e) gap
Efficient location-aware influence maximization
Location-based influence maximization in social networks
Influence maximization in trajectory databases
Distance-aware influence maximization in geo-social network
Efficient distance-aware influence maximization in geo-social networks
Geo-social influence spanning maximization
Location-aware targeted influence maximization in social networks
Topology-driven diversity for targeted influence maximization with application to user engagement in social networks
Location-aware influence maximization over dynamic social streams
Multi-location Influence Maximization in Location-Based Social Networks
Topic-aware social influence propagation models
Social influence analysis in large-scale networks
Online Topic-aware Influence Maximization Queries
Scalable topic-specific influence analysis on microblogs
Efficient topic-aware influence maximization using preprocessing
Online topic-aware influence maximization
Microblogging content propagation modeling using topic-specific behavioral factors
Real-time topic-aware influence maximization using preprocessing
Octopus: An online topic-aware influence analysis system for social networks
Competitive influence maximization in social networks
Threshold models for competitive influence in social networks
Diffusion in social networks with competing products
Influence blocking maximization in social networks under the competitive linear threshold model
A game-theoretic analysis of a competitive diffusion process over social networks
Clash of the contagions: Cooperation and competition in information diffusion
Game theoretic analysis of a strategic model of competitive contagion and product adoption in social networks
The bang for the buck: fair competitive viral marketing from the host perspective
Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships
Competitive contagion in networks
Influence maximization in switching-selection threshold models
Strategic resource allocation for competitive influence in social networks
Social networks with competing products
New models for competitive contagion
From competition to complementarity: comparative influence diffusion and maximization
Containment of competitive influence spread in social networks
Competitive propagation: Models, asymptotic behavior and quality-seeding games
Competitive diffusion in social networks: Quality or seeding?
Competitive rumor spread in social networks
Community-based influence maximization in social networks under a competitive linear threshold model
Dominated competitive influence maximization with time-critical and time-delayed diffusion in social networks
A game-theoretic approach for modeling competitive diffusion over social networks
IDR: Positive Influence Maximization and Negative Influence Minimization Under Competitive Linear Threshold Model
Influence Minimization Algorithm Based on Coordination Game
Adversarial Influence Maximization
Recurrent Neural Variational Model for Follower-based Influence Maximization
Real-Time Influence Maximization in a RTB Setting
Balancing spreads of influence in a social network
On influential node discovery in dynamic social networks
Influence maximization in dynamic social networks
On influential nodes tracking in dynamic social networks
Diffusion maximization in evolving social networks
Dynamic influence analysis in evolving networks
Incremental influence maximization for dynamic social networks
Tracking influential individuals in dynamic networks
Real-time influence maximization on dynamic social streams
Fast influence maximization in dynamic graphs: A local updating approach
RTIM: A Real-Time Influence Maximization Strategy
A Data-Based Approach to Social Influence Maximization
Two evidential data based models for influence maximization in Twitter
DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades
Identifying topical influencers on twitter based on user behavior and network topology
Influence maximization by leveraging the crowdsensing data in information diffusion network
Multi-task Learning for Influence Estimation and Maximization
Influence Maximization Using Influence and Susceptibility Embeddings
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Adaptive influence maximization in social networks: Why commit when you can adapt?
No time to observe: Adaptive influence maximization with partial feedback
Adaptive influence maximization in dynamic social networks
Efficient algorithms for adaptive influence maximization
Adaptive submodular influence maximization with myopic feedback
Adaptive Influence Maximization with Myopic Feedback
On adaptivity gaps of influence maximization under the independent cascade model with full adoption feedback
Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
Efficient Approximation Algorithms for Adaptive Influence Maximization
Time-constrained Adaptive Influence Maximization
Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
Prediction of information diffusion probabilities for independent cascade model
Learning continuous-time information diffusion model for social behavioral data analysis
Learning influence probabilities in social networks
Learning the graph of epidemic cascades
Sparsification of influence networks
Strip: stream learning of influence probabilities
Scalable influence estimation in continuous-time diffusion networks
Efficient topic-aware influence maximization using preprocessing
Who influenced you? predicting retweet via social influence locality
Seismic: A self-exciting point process model for predicting tweet popularity
Microblogging content propagation modeling using topic-specific behavioral factors
Recurrent marked temporal point processes: Embedding event history to vector
Recurrent marked temporal point processes: Embedding event history to vector
Representation learning for information diffusion through social networks: an embedded cascade model
Continuous influence maximization: What discounts should we offer to social network users?
Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks.
Predicting information diffusion probabilities in social networks: A Bayesian networks based approach
Cascade dynamics modeling with attention-based recurrent neural network
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
Topological recurrent neural network for diffusion prediction
DeepCas: An end-to-end predictor of information cascades
Data-Driven Influence Learning in Social Networks
COSINE: community-preserving social network embedding from information diffusion cascades
Inf2vec: Latent Representation Model for Social Influence Embedding
A Sequential Neural Information Diffusion Model with Structure Attention
Learning Diffusion using Hyperparameters
DeepInf: Modeling influence locality in large social networks
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades
Neural diffusion model for microscopic cascade prediction
Information Cascades Modeling via Deep Multi-Task Learning
DeepInfer: Diffusion Network Inference through Representation Learning
Information Cascades Modeling via Deep Multi-Task Learning
Learning Influence Probabilities and Modelling Influence Diffusion in Twitter
Information Diffusion Prediction with Network Regularized Role-based User Representation Learning
Hierarchical diffusion attention network
Joint Learning of Embedding-based Parent Components and Information Diffusion for Social Networks
Personalized DeepInf: enhanced social influence prediction with deep learning and transfer learning
DiffusionGAN: Network Embedding for Information Diffusion Prediction with Generative Adversarial Nets
Inf-VAE: A Variational Autoencoder Framework to IntegrateHomophily and Influence in Diffusion Prediction
Network Diffusions via Neural Mean-Field Dynamics
HID: Hierarchical Multiscale Representation Learning for Information Diffusion
Online influence maximization
A learning-based framework to handle multi-round multi-party influence maximization on social networks
Combinatorial multi-armed bandit and its extension to probabilistically triggered arms
Influence maximization with bandits
Stochastic online greedy learning with semi-bandit feedbacks
Online influence maximization under independent cascade model with semi-bandit feedback
Model-Independent Online Learning for Influence Maximization
Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network
Viral cascade probability estimation and maximization in diffusion networks
Maximizing influence in an unknown social network
Multi-round influence maximization
Factorization Bandits for Online Influence Maximization
Online Influence Maximization with Local Observations
Online Competitive Influence Maximization
Budgeted Online Influence Maximization
A survey of models and algorithms for social influence analysis
Information and influence propagation in social networks
Recent advances in information diffusion and influence maximization in complex social networks
Diffusion models and approaches for influence maximization in social networks
Influence maximization in the field: The arduous journey from emerging to deployed application
Debunking the myths of influence maximization: An in-depth benchmarking study
Influence maximization in large social networks: Heuristics, models and parameters
A Survey on Influence Maximization in a Social Network
Influence maximization on social graphs: A survey
A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics
A survey on influence maximization in a social network
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