A list of influence maximization and influence learning papers, organized based on the type of data they rely on, their aim and their constraints:
- Static network
- Time constraint
- Location constraint
- Topic constraint
- Competitive
- Dynamic network
- Ground-truth cascades
- Adaptive
- Influence learning
- Learning and Maximization
- Surveys
-
Mining the network value of customers
- Domingos, Pedro and Richardson, Matt
- KDD 2001 [Paper]
-
Maximizing the spread of influence through a social network
- Kempe, David and Kleinberg, Jon and Tardos, Eva
- KDD 2003 [Paper]
-
Influential nodes in a diffusion model for social networks
- Kempe, David and Kleinberg, Jon and Tardos, Eva
- ICALP2005 [Paper]
-
On the submodularity of influence in social networks
- Mossel, Elchanan and Roch, Sebastien
- Theory of computing 2007 [Paper]
-
Cost-effective outbreak detection in networks
- Leskovec, Jure and Krause, Andreas and Guestrin, Carlos and Faloutsos, Christos and VanBriesen, Jeanne and Glance, Natalie
- KDD 2008 [Paper]
-
Efficient influence maximization in social networks
- Chen, Wei and Wang, Yajun and Yang, Siyu
- KDD 2009 [Paper]
-
Scalable influence maximization for prevalent viral marketing in large-scale social networks
- Chen, Wei and Wang, Chi and Wang, Yajun
- KDD 2010 [Paper]
-
Simpath: An efficient Algorithm for Influence Maximization under the Linear Threshold model
- Goyal, Amit and Lu, Wei and Lakshmanan, Laks VS
- ICDM 2011 [Paper]
-
** Simulated annealing based influence maximization in social networks **
- Jiang, Qingye, Guojie Song, Cong Gao, Yu Wang, Wenjun Si, and Kunqing Xie
- AAAI 2011.
-
Irie: Scalable and robust influence maximization in social networks
- Jung, Kyomin, Wooram Heo, and Wei Chen
- ICDM 2012
-
Scalable and parallelizable processing of influence maximization for large-scale social networks?
- Kim, Jinha and Kim, Seung-Keol and Yu, Hwanjo
- ICDE 2013
-
Staticgreedy: solving the scalability-accuracy dilemma in influence maximization
- Cheng, Suqi and Shen, Huawei and Huang, Junming and Zhang, Guoqing and Cheng, Xueqi
- CIKM 2013 [Paper]
-
On budgeted influence maximization in social networks
- Nguyen, Huy, and Rong Zheng
- IEEE Journal on Selected Areas in Communications 2013
-
Latency-Bounded Target Set Selection in Social Networks
- Ferdinando, Cicalese, Gennaro Cordasco, Gargano Luisa, Milanic Martin, and Vaccaro Ugo
- Theoretical Computer Science 2013
-
Fast and accurate influence maximization on large networks with pruned monte-carlo simulations
- Ohsaka, Naoto and Akiba, Takuya and Yoshida, Yuichi and Kawarabayashi, Ken-ichi
- AAAI 2014 [Paper]
-
Maximizing social influence in nearly optimal time
- Borgs, Christian and Brautbar, Michael and Chayes, Jennifer and Lucier, Brendan
- SODA 2014 [Paper]
-
IMRank: influence maximization via finding self-consistent ranking
- Cheng, Suqi and Shen, Huawei and Huang, Junming and Chen, Wei and Cheng, Xueqi
- SIGIR 2014 [Paper]
-
Sketch-based Influence Maximization and Computation: Scaling up with Guarantees
- Cohen, Edith and Delling, Daniel and Pajor, Thomas and Werneck, Renato F
- CIKM 2014 [Paper]
-
Influence maximization: Near-optimal time complexity meets practical efficiency
- Tang, Youze and Xiao, Xiaokui and Shi, Yanchen
- SIGMOD 2014 [Paper]
-
Fast and accurate influence maximization on large networks with pruned monte-carlo simulations
- Ohsaka, Naoto and Akiba, Takuya and Yoshida, Yuichi and Kawarabayashi, Ken-ichi
- AAAI 2014 [Paper]
-
Influence maximization in near-linear time: A martingale approach
- Tang, Youze and Shi, Yanchen and Xiao, Xiaokui
- SIGMOD 2015
-
A genetic newgreedy algorithm for influence maximization in social network
- Tsai, Chun-Wei, Yo-Chung Yang, and Ming-Chao Chiang
- ICS 2015
-
Asim: A scalable algorithm for influence maximization under the independent cascade model
- Galhotra, Sainyam, Akhil Arora, Srinivas Virinchi, and Shourya Roy
- The WebConf 2015 [Paper]
-
Influence maximization in complex networks through optimal percolation
- Morone, Flaviano, and Hernán A. Makse
- Nature 524, no. 7563 (2015) [Paper]
-
On the upper bounds of spread for greedy algorithms in social network influence maximization
- Zhou, Chuan and Zhang, Peng and Zang, Wenyu and Guo, Li
- TKDE 2015 [Paper]
-
Better approximation algorithms for influence maximization in online social networks
- Zhu, Yuqing, Weili Wu, Yuanjun Bi, Lidong Wu, Yiwei Jiang, and Wen Xu
- Journal of Combinatorial Optimization 2015
-
A fast and effective heuristic for discovering small target sets in social networks
- Cordasco, Gennaro, Luisa Gargano, Marco Mecchia, Adele A. Rescigno, and Ugo Vaccaro
- Combinatorial Optimization and Applications 2015
-
A fast algorithm for finding most influential people based on the linear threshold model
- Rahimkhani, Khadije, Abolfazl Aleahmad, Maseud Rahgozar, and Ali Moeini
- Expert Systems with Applications 2015
-
Influence maximization in social networks with genetic algorithms
- Bucur, Doina, and Giovanni Iacca
- European conference on the applications of evolutionary computation 2016 [Paper]
-
Stop-and-stare: Optimal sampling algorithms for viral marketing in billion-scale networks
- Nguyen, Hung T and Thai, My T and Dinh, Thang N
- SIGMOD 2016 [Paper]
-
Influence Maximization in Social Networks Based on Discrete Particle Swarm Optimization
- Gonga, Maoguo, Jianan Yana, Bo Shena, Lijia Maa, and Qing Caia. "." (2016).
- Information Sciences 2016 [Paper]
-
Holistic influence maximization: Combining scalability and efficiency with opinion-aware models
- Galhotra, Sainyam, Akhil Arora, and Shourya Roy
- SIGMOD 2016
-
Holistic influence maximization: Combining scalability and efficiency with opinion-aware models
- Galhotra, Sainyam and Arora, Akhil and Roy, Shourya
- SIGMOD 2016 [Paper]
-
INCIM: A community-based algorithm for influence maximization problem under the linear threshold model
- Bozorgi, Arastoo, Hassan Haghighi, Mohammad Sadegh Zahedi, and Mojtaba Rezvani.
- Information Processing & Management 2016
-
Diffusion centrality: a paradigm to maximize spread in social networks
- Kang, Chanhyun, Sarit Kraus, Cristian Molinaro, Francesca Spezzano, and V. S. Subrahmanian
- Artificial Intelligence 2016
-
Revisiting the stop-and-stare algorithms for influence maximization
- Huang, Keke and Wang, Sibo and Bevilacqua, Glenn and Xiao, Xiaokui and Lakshmanan, Laks VS
- VLDB 2017 [Paper]
-
Social influence spectrum at scale: near-optimal solutions for multiple budgets at once
- Nguyen HT, Ghosh P, Mayo ML, Dinh TN
- ACM Transactions on Information Systems 2017
-
Leveraging cross-network information for graph sparsification in influence maximization
- Shen, Xiao, Fu-lai Chung, and Sitong Mao
- SIGIR 2017
-
A billion-scale approximation algorithm for maximizing benefit in viral marketing
- Nguyen, Hung T., My T. Thai, and Thang N. Dinh.
- IEEE/ACM Transactions on Networking 2017
-
On the approximability of influence in social networks
- Chen Ning
- SIAM J Discrete Math 2017
-
Optimizing influence diffusion in a social network with fuzzy costs for targeting nodes
- Ni, Yaodong and Shi, Qiaoni and Wei, Zhiyuan
- Journal of Ambient Intelligence and Humanized Computing 2017
-
MATI: An efficient algorithm for influence maximization in social networks
- Rossi, Maria-Evgenia G and Shi, Bowen and Tziortziotis, Nikolaos and Malliaros, Fragkiskos D and Giatsidis, Christos and Vazirgiannis, Michalis
- PloS one 2018
-
An Inapproximability Result for the Target Set Selection Problem on Bipartite Graphs.
- Banerjee, Suman, and Rogers Mathew
- arXiv 2018 [Paper]
-
An efficient and effective hop-based approach for influence maximization in social networks
- Tang, Jing, Xueyan Tang, and Junsong Yuan
- ASONAM 2018
-
Maximizing positive influence spread in online social networks via fluid dynamics
- Wang, Feng, Wenjun Jiang, Xiaolin Li, and Guojun Wang
- Future Generation Computer Systems 2018
-
Scalable Lattice Influence Maximization
- Wu, Ruihan, Zheng Yu, and Wei Chen
- arXiv 2018 [Paper]
-
Influence Maximization in Signed Social Networks with Opinion Formation
- Liang, Wenxin and Shen, Chengguang and Li, Xiao and Nishide, Ryo and Piumarta, Ian and Takada, Hideyuki
- IEEE Access 2019 [Paper]
-
LAPSO-IM: A learning-based influence maximization approach for social networks
- Singh, Shashank Sheshar and Kumar, Ajay and Singh, Kuldeep and Biswas, Bhaskar
- Applied Soft Computing 2019
-
Self-Activation Influence Maximization
- Sun, Lichao and Chen, Albert and Yu, Philip S and Chen, Wei
- arXiv 2019 [Paper]
-
A Centrality Measure for Influence Maximization Across Multiple Social Networks
- Singh, Shashank Sheshar, Ajay Kumar, Shivansh Mishra, Kuldeep Singh, and Bhaskar Biswas
- Advanced Informatics for Computing Research 2019 [Paper]
-
Accelerating influence maximization using heterogeneous algorithms
- Haque, Mridul, and Dip Sankar Banerjee
- The Journal of Supercomputing 2019 [Paper]
-
Efficient Influence Maximization Under Network Uncertainty
- Eshghi, Soheil, Setareh Maghsudi, Valerio Restocchi, Sebastian Stein, and Leandros Tassiulas
- INFOCOM 2019 [Paper]
-
Influence Maximization on Large-Scale Networks with a Group-Based Method via Network Embedding
- Ji, Yaoxuan, Li Pan, and Peng Wu
- DSC 2019
-
A Multi-criteria Approximation Algorithm for Influence Maximization with Probabilistic Guarantees
- Khan, Maleq, Gopal Pandurangan, Nguyen Dinh Pham, Anil Vullikanti, and Qin Zhang
- SIAM ALENEX 2019
-
"Robust Influence Maximization for Hyperparametric Models
- Kalimeris, Dimitris, Gal Kaplun, and Yaron Singer
- ICML 2019 [Paper]
-
An Exact Algorithm for Robust Influence Maximization
- Nannicini, Giacomo, Giorgio Sartor, Emiliano Traversi, and Roberto Wolfler-Calvo
- Integer Programming and Combinatorial Optimization 2019
-
Tiptop:(almost) exact solutions for influence maximization in billion-scale networks
- Li, Xiang, J. David Smith, Thang N. Dinh, and My T. Thai.
- Transactions on Networking 2019 [Paper]
-
Group-fairness in influence maximization
- Tsang, Alan, Bryan Wilder, Eric Rice, Milind Tambe, and Yair Zick
- arXiv 2019[Paper]
-
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
- Khajehnejad, Moein, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, and Adrian Weller
- IJCAI 2020[Paper]
-
Sample Complexity Bounds for Influence Maximization
- Sadeh, Gal, Edith Cohen, and Haim Kaplan
- ITCS 2020 [Paper]
-
Sample Complexity Bounds for Influence Maximization
- Sadeh, Gal, Edith Cohen, and Haim Kaplan
- ITCS 2020 [Paper]
-
Earned Benefit Maximization in Social Networks Under Budget Constraint
- Banerjee, Suman, Mamata Jenamani, and Dilip Kumar Pratihar
- arXiv 2020 [Paper]
-
Continuous Influence Maximization
- Yang, Y., Mao, X., Pei, J., & He, X.
- TKDD 2020 [Paper]
-
Targeted Influence Maximization Based on Cloud Computing Over Big Data in Social Networks
- Chen, Shiyu, Xiaochun Yin, Qi Cao, Qianmu Li, and Huaqiu Long
- IEEE Access 2020 [Paper]
-
Influence maximization through user interaction modeling
- Oriedi, David, Cyril de Runz, Zahia Guessoum, Amine Aït Younes, and Henry Nyongesa
- ACM SAC 2020
-
A Unifying Framework for Fairness-Aware Influence Maximization
- Farnad, Golnoosh, Behrouz Babaki, and Michel Gendreau
- The WebConf 2020 [Paper]
-
The Solution Distribution of Influence Maximization: A High-level Experimental Study on Three Algorithmic Approaches
- Ohsaka, Naoto
- SIGMOD 2020 [Paper]
-
Cores matter? An analysis of graph decomposition effects on influence maximization problems
- Caliò, Antonio, Andrea Tagarelli, and Francesco Bonch
- Web Science 2020
-
CutTheTail: An Accurate and Space-Efficient Heuristic Algorithm for Influence Maximization
- Popova, Diana, Ken-ichi Kawarabayashi, and Alex Thomo
- The Computer Journal 2020
-
A Unifying Framework for Fairness-Aware Influence Maximization
- Farnad, Golnoosh, Behrouz Babaki, and Michel Gendreau
- Web Science 2020[Paper]
-
Improving Fairness of Influence Maximization in Social Networks Using Grey Wolf Optimizer
- Razzaghi, Behnam, and Mehdy Roayaei Ardakany
- JEWR 2020 [Paper]
-
Influence Maximization with Priority in Online Social Networks
- Pham, Canh V., Dung KT Ha, Quang C. Vu, Anh N. Su, and Huan X. Hoang
- Algorithms 2020 [Paper]
-
Geodemographic Influence Maximization
- Zhang, Kaichen, Jingbo Zhou, Donglai Tao, Panagiotis Karras, Qing Li, and Hui Xiong
- KDD 2020 [Paper]
-
Taxonomy of Influence Maximization Techniques in Unknown Social Networks
- Ahamed, B. Bazeer, and Sudhakaran Periakaruppan
- In Research Advancements in Smart Technology, Optimization, and Renewable Energy (pp. 351-363) 2020
-
Influence Maximization: Seeding Based on Community Structure
- Guo, Jianxiong, and Weili Wu.
- ACM TKDD 2020 Paper
-
Balanced Influence Maximization in Attributed Social Network Based on Sampling
- Lin, Mingkai, Wenzhong Li, and Sanglu Lu
- WSDM 2020 Paper
-
Influence maximization with spontaneous user adoption
- Sun, Lichao, Albert Chen, Philip S. Yu, and Wei Chen
- WSDM 2020 Paper
-
Time-critical influence maximization in social networks with time-delayed diffusion process
- Chen, Wei and Lu, Wei and Zhang, Ning
- AAAI 2012 [Paper]
-
Time constrained influence maximization in social networks
- Liu, Bo and Cong, Gao and Xu, Dong and Zeng, Yifeng
- ICDM 2012 [Paper]
-
Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships
- Li, Yanhua and Chen, Wei and Wang, Yajun and Zhang, Zhi-Li
- WSDM 2013 [Paper]
-
Influence spreading path and its application to the time constrained social influence maximization problem and beyond
- Liu, Bo and Cong, Gao and Zeng, Yifeng and Xu, Dong and Chee, Yeow Meng
- TKDE 2013 [Paper]
-
Maximizing rumor containment in social networks with constrained time
- Fan, Lidan and Wu, Weili and Zhai, Xuming and Xing, Kai and Lee, Wonjun and Du, Ding-Zhu
- ASONAM 2014 [Paper]
-
Influence spreading path and its application to the time constrained social influence maximization problem and beyond
- Liu, Bo and Cong, Gao and Zeng, Yifeng and Xu, Dong and Chee, Yeow Meng
- TKDE 2014 [Paper]
-
Cost-effective viral marketing for time-critical campaigns in large-scale social networks
- Dinh, Thang N and Zhang, Huiyuan and Nguyen, Dzung T and Thai, My T
- Transactions on Networking 2014 [Paper]
-
Influence maximization with novelty decay in social networks
- Feng, Shanshan and Chen, Xuefeng and Cong, Gao and Zeng, Yifeng and Chee, Yeow Meng and Xiang, Yanping
- AAAI 2014 [Paper]
-
Time-sensitive influence maximization in social networks
- Mohammadi, Azadeh and Saraee, Mohamad and Mirzaei, Abdolreza
- Journal of Information Science 2015 [Paper]
-
DynaDiffuse: A Dynamic Diffusion Model for Continuous Time Constrained Influence Maximization
- Xie, Miao and Yang, Qiusong and Wang, Qing and Cong, Gao and De Melo, Gerard
- AAAI 2015 [Paper]
-
Credit distribution for influence maximization in online social networks with time constraint
- Pan, Yan and Deng, Xiaoheng and Shen, Hailan
- Smartcity 2015
-
Towards time-discounted influence maximization
- Khan, Arijit
- CIKM 2016 [Paper]
-
Maximizing time-decaying influence in social networks
- Ohsaka, Naoto and Yamaguchi, Yutaro and Kakimura, Naonori and Kawarabayashi, Ken-Ichi
- ECML/PKDD 2016 [Paper]
-
Time-sensitive influence maximization in social networks
- Min Hu, Qin Liu, Hejiao Huang, Xiaohua Jia
- ICCT 2018 [Paper]
-
Influence Maximization: A Time-Space Efficient Algorithm
- Xia, Ganming
- Materials Science and Engineering 2019 [Paper]
-
On the Fairness of Time-Critical Influence Maximization in Social Networks
- Ali, Junaid and Babaei, Mahmoudreza and Chakraborty, Abhijnan and Mirzasoleiman, Baharan and Gummadi, Krishna P and Singla, Adish
- arXiv 2019 [Paper]
-
Influence maximization on undirected graphs: Towards closing the (1-1/e) gap
- Schoenebeck, Grant, and Biaoshuai Tao
- CEC 2019 [Paper]
-
Efficient location-aware influence maximization
- Li, Guoliang and Chen, Shuo and Feng, Jianhua and Tan, Kian-lee and Li, Wen-syan
- SIGMOD 2014 [Paper]
-
Location-based influence maximization in social networks
- Zhou, Tao and Cao, Jiuxin and Liu, Bo and Xu, Shuai and Zhu, Ziqing and Luo, Junzhou
- CIKM 2015 [Paper]
-
Influence maximization in trajectory databases
- Guo, Long and Zhang, Dongxiang and Cong, Gao and Wu, Wei and Tan, Kian-Lee
- TKDE 2016 [Paper]
-
Distance-aware influence maximization in geo-social network
- Wang, Xiaoyang and Zhang, Ying and Zhang, Wenjie and Lin, Xuemin
- ICDE 2016
-
Efficient distance-aware influence maximization in geo-social networks
- Wang, Xiaoyang and Zhang, Ying and Zhang, Wenjie and Lin, Xuemin
- TKDE 2016
-
Geo-social influence spanning maximization
- Li, Jianxin and Sellis, Timos and Culpepper, J Shane and He, Zhenying and Liu, Chengfei and Wang, Junhu
- TKDE 2017
-
Location-aware targeted influence maximization in social networks
- Su, Sen and Li, Xiao and Cheng, Xiang and Sun, Chenna
- Association for Information Science and Technology 2018
-
Community-based seeds selection algorithm for location aware influence maximization
- Li, Xiao, Xiang Cheng, Sen Su, and Chenna Sun
- Neurocomputing 2018
-
Topology-driven diversity for targeted influence maximization with application to user engagement in social networks
- Caliò, Antonio, Roberto Interdonato, Chiara Pulice, and Andrea Tagarelli
- TKDE 2018 [Paper]
-
Location-aware influence maximization over dynamic social streams
- Wang, Yanhao and Li, Yuchen and Fan, Ju and Tan, Kian-Lee
- TOIS 2018 [Paper]
-
Multi-location Influence Maximization in Location-Based Social Networks
- Zhang, Zhen and Zhao, Xiangguo and Wang, Guoren and Bi, Xin
- APWeb 2018
-
Topic-aware social influence propagation models
- Barbieri, Nicola and Bonchi, Francesco and Manco, Giuseppe
- Knowledge and information systems 2013
-
Social influence analysis in large-scale networks
- Tang, Jie and Sun, Jimeng and Wang, Chi and Yang, Zi
- KDD 2019 [Paper]
-
Online Topic-aware Influence Maximization Queries
- Aslay, Cigdem and Barbieri, Nicola and Bonchi, Francesco and Baeza-Yates, Ricardo A
- EDBT 2014 [Paper]
-
Scalable topic-specific influence analysis on microblogs
- Bi, Bin and Tian, Yuanyuan and Sismanis, Yannis and Balmin, Andrey and Cho, Junghoo
- WSDM 2014 [Paper]
-
Efficient topic-aware influence maximization using preprocessing
- Chen, Wei and Lin, Tian and Yang, Cheng
- Corr 2014 [Paper]
-
Online topic-aware influence maximization
- Chen, Shuo and Fan, Ju and Li, Guoliang and Feng, Jianhua and Tan, Kian-lee and Tang, Jinhui
- VLDB 2015 [Paper]
-
Microblogging content propagation modeling using topic-specific behavioral factors
- Hoang, Tuan-Anh and Lim, Ee-Peng
- TKDE 2016 [Paper]
-
Real-time topic-aware influence maximization using preprocessing
- Chen, Wei and Lin, Tian and Yang, Cheng
- Computational Social Networks 2016
-
Content recommendation for viral social influence
- Ivanov, Sergei, Konstantinos Theocharidis, Manolis Terrovitis, and Panagiotis Karras
- SIGIR 2017 [Paper]
-
Octopus: An online topic-aware influence analysis system for social networks
- Fan, Ju and Qiu, Jiarong and Li, Yuchen and Meng, Qingfei and Zhang, Dongxiang and Li, Guoliang and Tan, Kian-Lee and Du, Xiaoyong
- ICDE 2018 [Paper]
-
Competitive influence maximization in social networks
- Bharathi, Shishir and Kempe, David and Salek, Mahyar
- Workshop on web and internet economics 2007 [Paper]
-
Threshold models for competitive influence in social networks
- Borodin, Allan and Filmus, Yuval and Oren, Joel
- Workshop on Internet and Network Economics 2010 [Paper]
-
Diffusion in social networks with competing products
- Apt, Krzysztof R and Markakis, Evangelos
- Symposium on Algorithmic Game Theory 2011 [Paper]
-
Influence blocking maximization in social networks under the competitive linear threshold model
- He, Xinran and Song, Guojie and Chen, Wei and Jiang, Qingye
- SDM 2012 [Paper]
-
A game-theoretic analysis of a competitive diffusion process over social networks
- Tzoumas, Vasileios and Amanatidis, Christos and Markakis, Evangelos
- Workshop on Internet and Network Economics 2012 [Paper]
-
Clash of the contagions: Cooperation and competition in information diffusion
- Myers, Seth A and Leskovec, Jure
- ICDM 2012 [Paper]
-
Game theoretic analysis of a strategic model of competitive contagion and product adoption in social networks
- Fazeli, Arastoo and Jadbabaie, Ali
- Decision and Control 2012 [Paper]
-
The bang for the buck: fair competitive viral marketing from the host perspective
- Lu, Wei and Bonchi, Francesco and Goyal, Amit and Lakshmanan, Laks VS
- KDD 2013 [Paper]
-
Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships
- Li, Yanhua and Chen, Wei and Wang, Yajun and Zhang, Zhi-Li
- WSDM 2013 [Paper]
-
Competitive contagion in networks
- Goyal, Sanjeev and Heidari, Hoda and Kearns, Michael
- Games and Economic Behavior 2014 [Paper]
-
Influence maximization in switching-selection threshold models
- Fotakis, Dimitris and Lykouris, Thodoris and Markakis, Evangelos and Obraztsova, Svetlana
- Symposium on Algorithmic Game Theory 2014 [Paper]
-
Strategic resource allocation for competitive influence in social networks
- Masucci, Antonia Maria and Silva, Alonso
- Allerton 2014 [Paper]
-
Social networks with competing products
- Apt, Krzysztof R and Markakis, Evangelos
- Fundamenta Informaticae 2014 [Paper]
-
New models for competitive contagion
- Draief, Moez and Heidari, Hoda and Kearns, Michael
- AAAI 2014 [Paper]
-
From competition to complementarity: comparative influence diffusion and maximization
- Lu, Wei and Chen, Wei and Lakshmanan, Laks VS
- VLDB 2015 [Paper]
-
Containment of competitive influence spread in social networks
- Liu, Weiyi and Yue, Kun and Wu, Hong and Li, Jin and Liu, Donghua and Tang, Duanping
- Knowledge-Based Systems 2016
-
Competitive propagation: Models, asymptotic behavior and quality-seeding games
- Mei, Wenjun and Bullo, Francesco
- IEEE Transactions on Network Science and Engineering 2017 [Paper]
-
Competitive diffusion in social networks: Quality or seeding?
- Fazeli, Arastoo and Ajorlou, Amir and Jadbabaie, Ali
- Transactions on Control of Network Systems 2016 [Paper]
-
Competitive rumor spread in social networks
- Lim, Yongwhan and Ozdaglar, Asuman and Teytelboym, Alexander
- SIGMETRICS 2017 [Paper]
-
Community-based influence maximization in social networks under a competitive linear threshold model
- Bozorgi, Arastoo, Saeed Samet, Johan Kwisthout, and Todd Wareham
- Knowledge-Based Systems 2017
-
Dominated competitive influence maximization with time-critical and time-delayed diffusion in social networks
- Li, Huijuan and Pan, Li and Wu, Peng
- Journal of computational science 2018
-
A game-theoretic approach for modeling competitive diffusion over social networks
- Jafari, Shahla and Navidi, Hamidreza
- Games 2018 [Paper]
-
IDR: Positive Influence Maximization and Negative Influence Minimization Under Competitive Linear Threshold Model
- Chi-Lung Lee, Cheng-En Sung, Hao-Shang Ma, and Jen-Wei Huang
- IEEE MDM 2019 [Paper]
-
Influence Minimization Algorithm Based on Coordination Game
- Yi Yang, Ming He, Bo Zhou, and Chi Zhang
- IEEE Access 7 2019 [Paper]
-
Adversarial Influence Maximization
- Khim, Justin, Varun Jog, and Po-Ling Loh
- ISIT 2019 [Paper]
-
Recurrent Neural Variational Model for Follower-based Influence Maximization
- Huang, Huimin, Zaiqiao Meng, and Shangsong Liang
- Information Sciences 2020
-
Real-Time Influence Maximization in a RTB Setting
- Dupuis, David, Cédric du Mouza, Nicolas Travers, and Gaël Chareyron
- Data Science and Engineering 2020
-
Balancing spreads of influence in a social network
- Becker, Ruben, Federico Coro, Gianlorenzo D'Angelo, and Hugo Gilbert
- AAAI 2020
-
On influential node discovery in dynamic social networks
- Aggarwal, Charu C and Lin, Shuyang and Yu, Philip S
- SDM 2012 [Paper]
-
Influence maximization in dynamic social networks
- Zhuang, Honglei and Sun, Yihan and Tang, Jie and Zhang, Jialin and Sun, Xiaoming
- ICDM 2013
-
On influential nodes tracking in dynamic social networks
- Chen, Xiaodong and Song, Guojie and He, Xinran and Xie, Kunqing
- SDM 2015
-
Diffusion maximization in evolving social networks
- Gayraud, Nathalie TH and Pitoura, Evaggelia and Tsaparas, Panayiotis
- Online Social Networks [Paper]
-
Dynamic influence analysis in evolving networks
- Ohsaka, Naoto and Akiba, Takuya and Yoshida, Yuichi and Kawarabayashi, Ken-ichi
- VLDB 2016 [Paper]
-
Incremental influence maximization for dynamic social networks
- Wang, Yake and Zhu, Jinghua and Ming, Qian
- International Conference of Pioneering Computer Scientists, Engineers and Educators 2017
-
Tracking influential individuals in dynamic networks
- Yang, Yu and Wang, Zhefeng and Pei, Jian and Chen, Enhong
- TKDE 2017 [Paper]
-
Real-time influence maximization on dynamic social streams
- Wang, Yanhao and Fan, Qi and Li, Yuchen and Tan, Kian-Lee
- VLDB 2017 [Paper]
-
Fast influence maximization in dynamic graphs: A local updating approach
- Yalavarthi, Vijaya Krishna and Khan, Arijit
- arXiv 2018 [Paper]
-
RTIM: A Real-Time Influence Maximization Strategy
- Dupuis, David, Cédric du Mouza, Nicolas Travers, and Gaël Chareyron
- International Conference on Web Information Systems Engineering 2019 [Paper]
-
A Data-Based Approach to Social Influence Maximization
- Amit Goyal, Francesco Bonchi, Laks V. S. Lakshmanan
- VLDB 2011 [Paper]
-
Two evidential data based models for influence maximization in Twitter
- Jendoubi, Siwar and Martin, Arnaud and Li{'e}tard, Ludovic and Hadji, Hend Ben and Yaghlane, Boutheina Ben
- Knowledge-Based Systems 2017 [Paper]
-
DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades
- Panagopoulos, George and Malliaros, Fragkiskos D and Vazirgiannis, Michalis
- Complex Networks and their Applications 2018 [Paper]
-
Identifying topical influencers on twitter based on user behavior and network topology
- Alp, Zeynep Zengin and ŞG Öğüdücü
- Knowledge-Based Systems 2018
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Influence Maximization Using Influence and Susceptibility Embeddings
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On adaptivity gaps of influence maximization under the independent cascade model with full adoption feedback
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Adaptive Greedy versus Non-adaptive Greedy for Influence Maximization
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Time-constrained Adaptive Influence Maximization
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Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback
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Inf2vec: Latent Representation Model for Social Influence Embedding
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Learning Influence Probabilities and Modelling Influence Diffusion in Twitter
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DiffusionGAN: Network Embedding for Information Diffusion Prediction with Generative Adversarial Nets
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Inf-VAE: A Variational Autoencoder Framework to IntegrateHomophily and Influence in Diffusion Prediction
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Uncharted but not Uninfluenced: Influence Maximization with an Uncertain Network
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Budgeted Online Influence Maximization
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