Survey and Book
- TKDE: Influence Maximization on Social Graphs: A Survey | IEEE Journals & Magazine | IEEE Xplore
- KIS A survey on influence maximization in a social network
- Computational Social Systems Social Bots and Their Coordination During Online Campaigns: A Survey | IEEE Journals & Magazine | IEEE Xplore
- A decade of social bot detection
- Book: Information and Influence Propagation in Social Networks (# 332)
- Comm. of ACM Computational epidemiology (# 104)
- CSUR 20 Identifying Top- k Nodes in Social Networks: A Survey
- New trends in influence maximization models - ScienceDirect
- AI review 19 Empirically grounded agent-based models of innovation diffusion: a critical review
- ASONAM tutorial 21: Influence Learning and Maximization
- Influence maximization frameworks, performance, challenges and directions on social network: A theoretical study - ScienceDirect
IM
ICML / NIPS / ICLR / AISTAT / UAI
- ICML 12 Influence estimation and maximization in continuous - time diffusion networks | Journal
- ICML 12 [1205.1682] Influence Maximization in Continuous Time Diffusion Networks
- ICML 13 Modeling Information Propagation with Survival Theory
- ICML 19 Robust influence maximization for hyperparametric models
- ICML 21 Network Inference and Influence Maximization from Samples
- ICML 14 Influence function learning in information diffusion networks (# 68)
- ICML 17 Model-independent online learning for influence maximization
- JMLR 17 Coevolve: A joint point process model for information diffusion and network evolution (# 163)
- NIPS 13 Scalable Influence Estimation in Continuous-Time Diffusion Networks
- NIPS 14 Shaping social activity by incentivizing users
- NIPS 15 COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution
- NIPS 16 Learning and forecasting opinion dynamics in social networks (# 51)
- NIPS 15 Learnability of influence in networks (# 42)
- NIPS 17 Online influence maximization under independent cascade model with semi-bandit feedback
- NIPS 19 Adaptive Influence Maximization with Myopic Feedback
- NIPS 19 Dynamic influence maximization
- NIPS 20 Correlation Robust Influence Maximization
- NIPS 21 Minimizing Polarization and Disagreement in Social Networks via Link Recommendation
- ICLR 17 Deep Inforamtion Propagation
- UAI 15 Revisiting non-progressive influence models: Scalable influence maximization in social networks
KDD / ICDM / WWW / SDM / CIKM / ICWSM / ASONAM
- KDD 12: Inferring Networks of Diffusion and Influence
- KDD 14: Scalable diffusion-aware optimization of network topology
- KDD 12 How to win friends and influence people, truthfully: influence maximization mechanisms for social networks) (# 128)
- KDD 16 Robust influence maximization
- KDD 18 Quantifying and Minimizing Risk of Conflict in Social Networks
- KDD 18 Multi-round influence maximization
- KDD 19 Adaptive Influence Maximization
- SIGMOD 15 Influence maximization in near-linear time: A martingale approach
- WWW 11 Who says what to whom on Twitter (# 1194)
- WWW 11 Social media analytics: tracking, modeling and predicting the flow of information through networks (# 179)
- WWW 13 Predicting information diffusion on social networks with partial knowledge (# 40)
- WWW 15 Beyond models: Forecasting complex network processes directly from data
- WWW 14 Can cascades be predicted? (# 710)
- WWW 18 Minimizing Polarization and Disagreement in Social Networks
- WWW 19 Learning clusters through information diffusion
- WWW 20 A Unifying Framework for Fairness-Aware Influence Maximization
- WWW 20 Seeding network influence in biased networks and the benefits of diversity
- WSDM 13 Structure and dynamics of information pathways in online media
- WSDM 14 Modeling opinion dynamics in social networks(# 117)
- WSDM 10: Learning influence probabilities in social networks
- WSDM 14 Learning social network embeddings for predicting information diffusion (# 94)
- WSDM 21 RePBubLik: Reducing Polarized Bubble Radius with Link Insertions
- WSDM 18 Influence maximization in online social networks
- CIKM 12 Gelling, and melting, large graphs by edge manipulation (# 195)
- CIKM 12 Evaluating geo-social influence in location-based social networks (#96)
- CIKM 10 Mining topic-level influence in heterogeneous networks (# 323)
- CIKM 21 On Influencing the Influential: Disparity Seeding
- TKDE 18: Influence Maximization on Social Graphs: A Survey (# 163)
- TKDE 21 On the Robustness of Diffusion in a Network Under Node Attacks | IEEE Journals & Magazine | IEEE Xplore
- TKDD 20 Continuous influence maximization
- TKDD 21 Parallel Greedy Algorithm to Multiple Influence Maximization in Social Network
- ICWSM 11 Why do people retweet? anti-homophily wins the day! (# 204)
- ICWSM Memes online: extracted, subtracted, injected, and recollected. （#105）
- A robust optimization model for influence maximization in social networks with heterogeneous nodes | Computational Social Networks | Full Text
- Time-constrained adaptive influence maximization
- Maximizing the influence and profit in social networks
- Adaptive Influence Maximization in Dynamic Social Networks | IEEE Journals & Magazine | IEEE Xplore (# 166)
- KBS 19 Location driven influence maximization: Online spread via offline deployment - ScienceDirect
– CPS coupled network - KIS 16 Influence estimation and maximization in continuous-time diffusion networks
AAAI / IJCAI
- AAAI 21 [2006.07906] Fair Influence Maximization: A Welfare Optimization Approach
- AAAI 21 Fairness in Influence Maximization through Randomization | Proceedings of the AAAI Conference on Artificial Intelligence
- AAAI 20 Balancing Spreads of Influence in a Social Network | Proceedings of the AAAI Conference on Artificial Intelligence
- AAAI 20 Adaptive Greedy versus Non-Adaptive Greedy for Influence Maximization | Proceedings of the AAAI Conference on Artificial Intelligence
- AAAI 20 Better bounds on the adaptivity gap of influence maximization under full-adoption feedback
- AAAI 11 Detecting and tracking political abuse in social media (# 616)
- IJCAI 19 [1903.00967] Group-Fairness in Influence Maximization
- JAIR 21 Election Manipulation on Social Networks: Seeding, Edge Removal, Edge Addition
- IJCAI 20 [2005.04074] Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
ACL / EMNLP
CVPR / ECCV / ICCV
IM to sort
- Social influence maximization under empirical influence models
- Influence maximization with partial feedback
- ESIS: emotion-based spreader–ignorant–stifler model for information diffusion
- Modelling the dynamic emotional information propagation and guiding the public sentiment in the Chinese Sina-microblog - ScienceDirect
- Information cascades in complex networks (# 203)
- Graph hierarchy: a novel framework to analyse hierarchical structures in complex networks | Scientific Reports
- Nature 14 The simple rules of social contagion (# 171)
- Modeling information propagation with survival theory (# 156)
- Opinionflow: Visual analysis of opinion diffusion on social media (# 158)
- Quantifying information overload in social media and its impact on social contagions (# 150)
- Inheritance patterns in citation networks reveal scientific memes (# 113)
- Learning the graph of epidemic cascades (#165)
- Confluence: Conformity influence in large social networks (# 128)
- Epidemiological modeling of news and rumors on Twitter (# 258)
- The consequences of the internet for politics (# 450)
- Supervised random walks: predicting and recommending links in social networks ()
- Inferring full diffusion history from partial timestamps
- Deep Learning for Social Network Information Cascade Analysis: a survey
- Network Science Uncovering the structure and temporal dynamics of information propagation (# 114)
- Anomalous information diffusion in social networks: Twitter and Digg
- Predicting Information Diffusion in Social Networks Using Content and User’s Profiles
- Investor networks in the stock market (# 158)
- Composite social network for predicting mobile apps installation (# 145)
- Diffusive logistic model towards predicting information diffusion in online social networks （#119）
- Social influence modeling using information theory in mobile social networks (# 109)
- Who creates trends in online social media: The crowd or opinion leaders? (# 110)
- TIST 14 CIM: Community-based influence maximization in social networks (#105)
- SPM 12 Modeling dynamical influence in human interaction: Using data to make better inferences about influence within social systems (# 97)
- Modeling contagion through social networks to explain and predict gunshot violence in Chicago, 2006 to 2014 (# 105)
- The current state of fake news: challenges and opportunities (#100)
- Discovering the geographical borders of human mobility (#78)
- Spread of hate speech in online social media
- Simpath: An efficient algorithm for influence maximization under the linear threshold model
Virus Propagation
-
IEEE/ACM Transactions on Networking - Virus Spread in Networks (# 909)
– great citing papers, check out the citing papers.
– Epidemic processes in complex networks (# 2128)
– Graph spectra for complex networks (# 733)
– Statistical physics of vaccination(# 591)
– Controllability metrics, limitations and algorithms for complex networks (# 480)
– Analysis and control of epidemics: A survey of spreading processes on complex networks (# 404)
– Dynamics of information diffusion and its applications on complex networks(# 259)
– Mathematics of epidemics on networks(# 267)
– Nature of the epidemic threshold for the susceptible-infected-susceptible dynamics in networks(# 232)
– Generalized epidemic mean-field model for spreading processes over multilayer complex networks(# 232)
Vaccine
- Mean field control problems for vaccine distribution
- Optimal vaccine allocation to control epidemic outbreaks in arbitrary networks (# 140)
- Science 09: Optimizing influenza vaccine distribution (# 388)
- Optimizing infectious disease interventions during an emerging epidemic (# 145)
Homophily and Causality
- Book by Dr. Huan Liu Social Network Mining: Chapt 8
- KDD 14 Influence and correlation in social networks (# 819)
- Homophily and contagion are generically confounded in observational social network studies (# 881)
- WWW 10 Randomization tests for distinguishing social influence and homophily effects (#254)
- PANS 09 Distinguishing influence-based contagion from homophily-driven diffusion in dynamic networks (# 1345)
- " Birds of a Feather": Does User Homophily Impact Information Diffusion in Social Media? (# 88)
- Trans. of Web Friendship prediction and homophily in social media(#338)
- The “unfriending” problem: The consequences of homophily in friendship retention for causal estimates of social influence(#131)
- Network Sci. Engineering social contagions: Optimal network seeding in the presence of homophily(#129)
- JMLR Estimation of causal peer influence effects (#107)
- Latent homophily or social influence? An empirical analysis of purchase within a social network (#98)
Network Inference
- Trace complexity of network inference (# 79)
- NIPS 10 On the convexity of latent social network inference (# 294)
- WSDM 12 The life and death of online groups: Predicting group growth and longevity (# 221)
- SDM 11 The network completion problem: Inferring missing nodes and edges in networks (# 214)
- JMLR 14 Estimating diffusion network structures: Recovery conditions, sample complexity & soft-thresholding algorithm (# 97)
- Connecting the dots: Identifying network structure via graph signal processing (# 78)