{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T15:50:22Z","timestamp":1783439422126,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":51,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,13]],"date-time":"2024-05-13T00:00:00Z","timestamp":1715558400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Guangdong Provincial Key Laboratory","award":["2020B121201001"],"award-info":[{"award-number":["2020B121201001"]}]},{"name":"Singapore Ministry of Education Academic Research Fund Tier 3","award":["A-8001561-00-00"],"award-info":[{"award-number":["A-8001561-00-00"]}]},{"name":"Proxima Beta","award":["A-8000177-00-00"],"award-info":[{"award-number":["A-8000177-00-00"]}]},{"DOI":"10.13039\/501100006374","name":"Shenzhen Fundamental Research Program","doi-asserted-by":"publisher","award":["20220815112848002"],"award-info":[{"award-number":["20220815112848002"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,5,13]]},"DOI":"10.1145\/3589335.3648337","type":"proceedings-article","created":{"date-parts":[[2024,5,12]],"date-time":"2024-05-12T18:41:21Z","timestamp":1715539281000},"page":"383-392","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Information Diffusion Meets Invitation Mechanism"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7155-9579","authenticated-orcid":false,"given":"Shiqi","family":"Zhang","sequence":"first","affiliation":[{"name":"National University of Singapore & Southern University of Science and Technology, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1315-6448","authenticated-orcid":false,"given":"Jiachen","family":"Sun","sequence":"additional","affiliation":[{"name":"Tencent, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4741-801X","authenticated-orcid":false,"given":"Wenqing","family":"Lin","sequence":"additional","affiliation":[{"name":"Tencent, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0914-4580","authenticated-orcid":false,"given":"Xiaokui","family":"Xiao","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-5601-3439","authenticated-orcid":false,"given":"Yiqian","family":"Huang","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8424-0092","authenticated-orcid":false,"given":"Bo","family":"Tang","sequence":"additional","affiliation":[{"name":"Southern University of Science and Technology, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,5,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"crossref","unstructured":"Ashton Anderson Daniel Huttenlocher Jon Kleinberg Jure Leskovec and Mitul Tiwari. 2015. Global diffusion via cascading invitations: Structure growth and homophily. In WWW.","DOI":"10.1145\/2736277.2741672"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"Nicola Barbieri and Francesco Bonchi. 2014. Influence maximization with viral product design. In ICDM.","DOI":"10.1137\/1.9781611973440.7"},{"key":"e_1_3_2_2_3_1","volume-title":"Topic-aware social influence propagation models. KIS","author":"Barbieri Nicola","year":"2013","unstructured":"Nicola Barbieri, Francesco Bonchi, and Giuseppe Manco. 2013. Topic-aware social influence propagation models. KIS (2013)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Smriti Bhagat Amit Goyal and Laks VS Lakshmanan. 2012. Maximizing product adoption in social networks. In WSDM.","DOI":"10.1145\/2124295.2124368"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Christian Borgs Michael Brautbar Jennifer Chayes and Brendan Lucier. 2014. Maximizing social influence in nearly optimal time. In SODA. 946--957.","DOI":"10.1137\/1.9781611973402.70"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Simon Bourigault Cedric Lagnier Sylvain Lamprier Ludovic Denoyer and Patrick Gallinari. 2014. Learning social network embeddings for predicting information diffusion. In WSDM.","DOI":"10.1145\/2556195.2556216"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Simon Bourigault Sylvain Lamprier and Patrick Gallinari. 2016. Representation learning for information diffusion through social networks: an embedded cascade model. In WSDM.","DOI":"10.1145\/2835776.2835817"},{"key":"e_1_3_2_2_8_1","unstructured":"Meeyoung Cha Alan Mislove and Krishna P Gummadi. 2009. A measurementdriven analysis of information propagation in the flickr social network. InWWW."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Wei Chen Alex Collins Rachel Cummings Te Ke Zhenming Liu David Rincon Xiaorui Sun YajunWang WeiWei and Yifei Yuan. 2011. Influence maximization in social networks when negative opinions may emerge and propagate. In ICDM.","DOI":"10.1137\/1.9781611972818.33"},{"key":"e_1_3_2_2_10_1","unstructured":"Wei Chen Wei Lu and Ning Zhang. 2012. Time-critical influence maximization in social networks with time-delayed diffusion process. In AAAI."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Wei Chen and Shang-Hua Teng. 2017. Interplay between social influence and network centrality: a comparative study on shapley centrality and single-nodeinfluence centrality. In WWW.","DOI":"10.1145\/3038912.3052608"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Wei Chen Chi Wang and Yajun Wang. 2010. Scalable influence maximization for prevalent viral marketing in large-scale social networks. In KDD. 1029--1038.","DOI":"10.1145\/1835804.1835934"},{"key":"e_1_3_2_2_13_1","volume-title":"The anatomy of a scientific rumor. Scientific reports","author":"Domenico Manlio De","year":"2013","unstructured":"Manlio De Domenico, Antonio Lima, Paul Mougel, and Mirco Musolesi. 2013. The anatomy of a scientific rumor. Scientific reports (2013)."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Shanshan Feng Gao Cong Arijit Khan Xiucheng Li Yong Liu and Yeow Meng Chee. 2018. Inf2vec: Latent representation model for social influence embedding. In ICDE.","DOI":"10.1109\/ICDE.2018.00089"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Sharad Goel Duncan J Watts and Daniel G Goldstein. 2012. The structure of online diffusion networks. In EC.","DOI":"10.1145\/2229012.2229058"},{"key":"e_1_3_2_2_16_1","volume-title":"Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing letters","author":"Goldenberg Jacob","year":"2001","unstructured":"Jacob Goldenberg, Barak Libai, and Eitan Muller. 2001. Talk of the network: A complex systems look at the underlying process of word-of-mouth. Marketing letters (2001)."},{"key":"e_1_3_2_2_17_1","unstructured":"Manuel Gomez-Rodriguez David Balduzzi and Bernhard Sch\u00f6lkopf. 2011. Uncovering the temporal dynamics of diffusion networks. In ICML."},{"key":"e_1_3_2_2_18_1","volume-title":"Threshold models of collective behavior. American journal of sociology","author":"Granovetter Mark","year":"1978","unstructured":"Mark Granovetter. 1978. Threshold models of collective behavior. American journal of sociology (1978)."},{"key":"e_1_3_2_2_19_1","volume-title":"Influence Maximization Revisited: Efficient Sampling with Bound Tightened. TODS 47, 3","author":"Guo Qintian","year":"2022","unstructured":"Qintian Guo, SiboWang, ZheweiWei,Wenqing Lin, and Jing Tang. 2022. Influence Maximization Revisited: Efficient Sampling with Bound Tightened. TODS 47, 3 (2022), 12:1--12:45."},{"key":"e_1_3_2_2_20_1","volume-title":"Social dynamics of digg. EPJ Data Science","author":"Hogg Tad","year":"2012","unstructured":"Tad Hogg and Kristina Lerman. 2012. Social dynamics of digg. EPJ Data Science (2012)."},{"key":"e_1_3_2_2_21_1","first-page":"1","article-title":"Managing Conflicting Interests of Stakeholders in Influencer Marketing","volume":"1","author":"Huang Shixun","year":"2023","unstructured":"Shixun Huang, Junhao Gan, Zhifeng Bao, and Wenqing Lin. 2023. Managing Conflicting Interests of Stakeholders in Influencer Marketing. PACMMOD 1, 1 (2023), 1--27.","journal-title":"PACMMOD"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.14778\/3565816.3565821"},{"key":"e_1_3_2_2_23_1","volume-title":"Deepdiffuse: Predicting the'who'and'when'in cascades. In ICDM.","author":"Islam Mohammad Raihanul","year":"2018","unstructured":"Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B Aditya Prakash, and Naren Ramakrishnan. 2018. Deepdiffuse: Predicting the'who'and'when'in cascades. In ICDM."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"David Kempe Jon Kleinberg and \u00c9va Tardos. 2003. Maximizing the spread of influence through a social network. In KDD.","DOI":"10.1145\/956755.956769"},{"key":"e_1_3_2_2_25_1","volume-title":"Jeanne Van- Briesen, and Natalie Glance","author":"Leskovec Jure","year":"2007","unstructured":"Jure Leskovec, Andreas Krause, Carlos Guestrin, Christos Faloutsos, Jeanne Van- Briesen, and Natalie Glance. 2007. Cost-effective outbreak detection in networks. In KDD."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052643"},{"key":"e_1_3_2_2_27_1","volume-title":"Influence maximization in signed social networks with opinion formation. Access","author":"Liang Wenxin","year":"2019","unstructured":"Wenxin Liang, Chengguang Shen, Xiao Li, Ryo Nishide, Ian Piumarta, and Hideyuki Takada. 2019. Influence maximization in signed social networks with opinion formation. Access (2019)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Wenqing Lin. 2019. Distributed Algorithms for Fully Personalized PageRank on Large Graphs. In WWW. 1084--1094.","DOI":"10.1145\/3308558.3313555"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Wenqing Lin. 2021. Large-Scale Network Embedding in Apache Spark. In KDD. 3271--3279.","DOI":"10.1145\/3447548.3467136"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Wenqing Lin Feng He Faqiang Zhang Xu Cheng and Hongyun Cai. 2020. Initialization for Network Embedding: A Graph Partition Approach. In WSDM. 367--374.","DOI":"10.1145\/3336191.3371781"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Bo Liu Gao Cong Dong Xu and Yifeng Zeng. 2012. Time constrained influence maximization in social networks. In ICDM.","DOI":"10.1109\/ICDM.2012.158"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Alvis Logins Yuchen Li and Panagiotis Karras. 2020. On the robustness of cascade diffusion under node attacks. In WWW.","DOI":"10.1145\/3366423.3380028"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Michal Lukasik Trevor Cohn and Kalina Bontcheva. 2015. Point process modelling of rumour dynamics in social media. In ACL.","DOI":"10.3115\/v1\/P15-2085"},{"key":"e_1_3_2_2_34_1","unstructured":"Siqiang Luo Xiaokui Xiao Wenqing Lin and Ben Kao. 2019. Efficient batch one-hop personalized pageranks. In ICDE."},{"key":"e_1_3_2_2_35_1","volume-title":"BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. TKDE","author":"Luo Siqiang","year":"2020","unstructured":"Siqiang Luo, Xiaokui Xiao, Wenqing Lin, and Ben Kao. 2020. BATON: Batch One-Hop Personalized PageRanks with Efficiency and Accuracy. TKDE (2020)."},{"key":"e_1_3_2_2_36_1","volume-title":"Probability and computing: Randomization and probabilistic techniques in algorithms and data analysis","author":"Mitzenmacher Michael","unstructured":"Michael Mitzenmacher and Eli Upfal. 2017. Probability and computing: Randomization and probabilistic techniques in algorithms and data analysis. Cambridge university press."},{"key":"e_1_3_2_2_37_1","volume-title":"An analysis of approximations for maximizing submodular set functions-I. Mathematical programming","author":"Nemhauser George L","year":"1978","unstructured":"George L Nemhauser, LaurenceAWolsey, and Marshall L Fisher. 1978. An analysis of approximations for maximizing submodular set functions-I. Mathematical programming (1978)."},{"key":"e_1_3_2_2_38_1","unstructured":"Jiezhong Qiu Yixuan Li Jie Tang Zheng Lu Hao Ye Bo Chen Qiang Yang and John E Hopcroft. 2016. The lifecycle and cascade of wechat social messaging groups. In WWW."},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85567-5_9"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371811"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","unstructured":"Martin Saveski Jean Pouget-Abadie Guillaume Saint-Jacques Weitao Duan Souvik Ghosh Ya Xu and Edoardo M Airoldi. 2017. Detecting network effects: Randomizing over randomized experiments. In KDD.","DOI":"10.1145\/3097983.3098192"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Jie Tang Jimeng Sun Chi Wang and Zi Yang. 2009. Social influence analysis in large-scale networks. In KDD.","DOI":"10.1145\/1557019.1557108"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Jing Tang Xueyan Tang Xiaokui Xiao and Junsong Yuan. 2018. Online processing algorithms for influence maximization. In SIGMOD.","DOI":"10.1145\/3183713.3183749"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"crossref","unstructured":"Youze Tang Yanchen Shi and Xiaokui Xiao. 2015. Influence maximization in near-linear time: A martingale approach. In SIGMOD.","DOI":"10.1145\/2723372.2723734"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"crossref","unstructured":"Jia Wang Vincent W Zheng Zemin Liu and Kevin Chen-Chuan Chang. 2017. Topological recurrent neural network for diffusion prediction. In ICDM.","DOI":"10.1109\/ICDM.2017.57"},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"YongqingWang Huawei Shen Shenghua Liu Jinhua Gao and Xueqi Cheng. 2017. Cascade Dynamics Modeling with Attention-based Recurrent Neural Network.. In IJCAI.","DOI":"10.24963\/ijcai.2017\/416"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Shiqi Zhang Yiqian Huang Jiachen Sun Wenqing Lin Xiaokui Xiao and Bo Tang. 2023. Capacity Constrained Influence Maximization in Social Networks. In KDD. 3376--3385.","DOI":"10.1145\/3580305.3599267"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Shiqi Zhang Jiachen Sun Wenqing Lin Xiaokui Xiao and Bo Tang. 2022. Measuring Friendship Closeness: A Perspective of Social Identity Theory. In CIKM. 3664--3673.","DOI":"10.1145\/3511808.3557076"},{"key":"e_1_3_2_2_49_1","first-page":"1","article-title":"Effective and efficient pagerank-based positioning for graph visualization","volume":"1","author":"Zhang Shiqi","year":"2023","unstructured":"Shiqi Zhang, Renchi Yang, Xiaokui Xiao, Xiao Yan, and Bo Tang. 2023. Effective and efficient pagerank-based positioning for graph visualization. PACMMOD 1, 1 (2023), 1--27.","journal-title":"PACMMOD"},{"key":"e_1_3_2_2_50_1","volume-title":"RCELF: A residual-based approach for Influence Maximization Problem. Information Systems","author":"Zhang Shiqi","year":"2021","unstructured":"Shiqi Zhang, Xinxun Zeng, and Bo Tang. 2021. RCELF: A residual-based approach for Influence Maximization Problem. Information Systems (2021)."},{"key":"e_1_3_2_2_51_1","doi-asserted-by":"publisher","DOI":"10.14778\/3401960.3401961"}],"event":{"name":"WWW '24: The ACM Web Conference 2024","location":"Singapore Singapore","acronym":"WWW '24","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Companion Proceedings of the ACM Web Conference 2024"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589335.3648337","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3589335.3648337","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T00:38:35Z","timestamp":1755823115000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3589335.3648337"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,13]]},"references-count":51,"alternative-id":["10.1145\/3589335.3648337","10.1145\/3589335"],"URL":"https:\/\/doi.org\/10.1145\/3589335.3648337","relation":{},"subject":[],"published":{"date-parts":[[2024,5,13]]},"assertion":[{"value":"2024-05-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}