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Topic Aware Influential Member Detection in Meetup

Published: 07 June 2023 Publication History

Abstract

Hosting popular Meetup events is one of the primary objectives of the Meetup organizers. This paper explores the possibility of inviting a few key influential members to attend Meetup events, who may further influence their followers to attend and boost the popularity of those Meetup events. Importantly, our pilot study reveals that topics of the Meetup events play a key role behind the effectiveness of the influential members. Leveraging this observation, in this paper, we develop Topic Aware Influencer Detection (TAID) heuristics, which recommends (i) top-k influential members Ik, and (ii) top-b influence badges Rb based on the topical interest of a Meetup group. This indicates that Ik. will be most effective in influencing the Meetup members to attend the events hosted on topic Rb. TAID heuristics contains two major blocks (a) influence propagation graph construction, and (b) recommendation generation. Rigorous evaluation of TAID on 1447 Meetup groups with three different topics reveals that TAID comfortably outperforms the baselines by influencing (on average) 15% more Meetup members.

References

[1]
Zahra Aghaee and Sahar Kianian. 2020. Efficient influence spread estimation for influence maximization. SNAM (2020).
[2]
Nicola Barbieri, Francesco Bonchi, and Giuseppe Manco. 2013. Topic-aware social influence propagation models. Knowledge and information systems (2013).
[3]
Ayan Kumar Bhowmick, Soumajit Pramanik, Sayan Pathak, and Bivas Mitra. 2020. On the splitting dynamics of meetup social groups. In ICWSM.
[4]
Bin Bi, Yuanyuan Tian, Yannis Sismanis, Andrey Balmin, and Junghoo Cho. 2014. Scalable topic-specific influence analysis on microblogs. In WSDM.
[5]
Christian Borgs, Michael Brautbar, Jennifer Chayes, and Brendan Lucier. 2014. Maximizing social influence in nearly optimal time. In SODA22.
[6]
Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alípio Jorge, Célia Nunes, and Adam Jatowt. 2020. YAKE! Keyword extraction from single documents using multiple local features. Information Sciences (2020).
[7]
Elizabeth M Daly and Werner Geyer. 2011. Effective event discovery: using location and social information for scoping event recommendations. In ACM conference on Recommender systems.
[8]
A. Chin W. Wang C. Tong J. Han, J. Niu and X. Wang. 2012. How online social network affects offline events: A case study on douban. In UIC.
[9]
A. Chin W. Wang C. Tong J. Han, J. Niu and X. Wang. 2014. Predicting Activity Attendance in Event-Based Social Networks: Content, Context and Social Influence. In UbiComp'14.
[10]
Xiangyu Ke, Arijit Khan, and Gao Cong. 2018. Finding seeds and relevant tags jointly: For targeted influence maximization in social networks. In 2018 SIGMOD.
[11]
David Kempe, Jon Kleinberg, and Éva Tardos. 2003. Maximizing the spread of influence through a social network. In ACM SIGKDD.
[12]
Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, and Wei Wang. 2021. Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multitask Multi-relational Learning. In ICWSM.
[13]
Roy Ka-Wei Lee, Tuan-Anh Hoang, and Ee-Peng Lim. 2019. Discovering hidden topical hubs and authorities across multiple online social networks. IEEE Transactions on Knowledge and Data Engineering 33, 1 (2019), 70--84.
[14]
Simone Leonardi, Diego Monti, Giuseppe Rizzo, and Maurizio Morisio. 2020. Mining micro-influencers from social media posts. In Proceedings of the 35th Annual ACM Symposium on Applied Computing. 867--874.
[15]
Tomer Lev, Irad Ben-Gal, and Erez Shmueli. 2021. Influence maximization through scheduled seeding in a real-world setting. IEEE Transactions on Computational Social Systems 9, 2 (2021), 494--507.
[16]
Xiao Li, Chenna Sun, and Muhammad Azam Zia. 2020. Social influence based community detection in event-based social networks. Information Processing & Management (2020).
[17]
Guoqiong Liao, Xiaomei Huang, Mingsong Mao, Changxuan Wan, Xiping Liu, and Dexi Liu. 2019. Group event recommendation in event-based social networks considering unexperienced events. IEEE Access (2019).
[18]
Dhendra Marutho, Sunarna Hendra Handaka, Ekaprana Wijaya, et al. [n. d.]. The determination of cluster number at k-mean using elbow method and purity evaluation on headline news. In 2018 ISemantic.
[19]
Einat Minkov, Ben Charrow, Jonathan Ledlie, Seth Teller, and Tommi Jaakkola. 2010. Collaborative future event recommendation. In CIKM. 819--828.
[20]
Ahmet Anil Müngen and Mehmet Kaya. 2017. A novel method for event recommendation in meetup. In ASONAM. IEEE.
[21]
David Oriedi, Cyril de Runz, Zahia Guessoum, Amine Ait Younes, and Henry Nyongesa. 2020. Influence maximization through user interaction modeling. In Proceedings of the 35th Annual ACM Symposium on Applied Computing. 1888--1890.
[22]
George Panagopoulos, Fragkiskos D Malliaros, and Michalis Vazirgianis. 2020. Influence maximization using influence and susceptibility embeddings. In AAAI Conference on Web and Social Media.
[23]
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014. Glove: Global vectors for word representation. In EMNLP.
[24]
Tribikram Pradhan and Sukomal Pal. 2020. A hybrid personalized scholarly venue recommender system integrating social network analysis and contextual similarity. Future Generation Computer Systems (2020).
[25]
Soumajit Pramanik, Midhun Gundapuneni, Sayan Pathak, and Bivas Mitra. 2016. Can i foresee the success of my meetup group?. In 2016 IEEE/ACM (ASONAM).
[26]
Fatemeh Salehi Rizi and Michael Granitzer. 2019. Predicting event attendance exploring social influence. In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. 2131--2134.
[27]
Guangmo Tong, Ruiqi Wang, Zheng Dong, and Xiang Li. 2020. Time-constrained adaptive influence maximization. IEEE Transactions on Computational Social Systems 8, 1 (2020), 33--44.
[28]
Sen Su* Shuchen Li Jianyu Yang Xiao Li, Xiang Cheng. 2017. A hybrid collaborative filtering model for social influence prediction in event-based social networks. Neurocomputing (2017).
[29]
Lei Yu, Guohui Li, and Ling Yuan. 2021. Compatible influence maximization in online social networks. IEEE Transactions on Computational Social Systems (2021).
[30]
Cheng Zheng, Qin Zhang, Sean Young, and Wei Wang. 2020. On-demand influencer discovery on social media. In CIKM.

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      cover image ACM Conferences
      SAC '23: Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
      March 2023
      1932 pages
      ISBN:9781450395175
      DOI:10.1145/3555776
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 07 June 2023

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      Author Tags

      1. meetup
      2. influence propagation
      3. recommendation heuristics

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