SocialMeta 2024

The 3rd International Workshop on Social and Metaverse Computing, Sensing and Networking

(In conjunction with ACM SenSys'24)

Monday, November 4, 2024 / Hangzhou, China

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Call for papers


While online social network services and applications have found unprecedented presence today (e.g., messaging, gaming, advertising, and recommendation), multiple novel and emerging technologies have already started to shape the next-generation online social networks, including the “metaverse”. On the one hand, Augmented/Virtual Reality (AR/VR), Internet of Things (IoT), and Multi-access Edge Computing (MEC) are bringing new mobile computing and communication paradigms for provisioning and accessing online social networks, social media, massive gaming, etc. On the other hand, Artificial Intelligence (AI) and Machine Learning (ML), characterized by recent breakthroughs of deep learning and large language model, are finding successful applications to online social networks, including detecting/preventing spam and fraud, and enhancing service experience via intelligent user interactions (e.g., recognition) with texts, images, and voices. Yet, how to exploit and synergize all such state-of-the-art technologies to revolutionize online social networks is still in its infancy and demands comprehensive investigation and research.

The goal of the 3rd International Workshop on Social and Metaverse Computing, Sensing and Networking (SocialMeta) is to bring together scientists, researchers, engineers, and practitioners to identify new problems and discuss the latest research ideas and results, especially those related to novel and emerging technologies, regarding online social networks and the metaverse. SocialMeta focuses on all aspects of online social networks and the metaverse, including architecture, design, sensing, implementation, measurement, modeling, algorithm, analysis, and theory. The topics include but are not limited to the following:

  • Sensing in mobile and location-based online social networks and the AR/VR-based metaverse
  • Reputation, incentives, and economics in online social networks and the metaverse
  • AR/VR, IoT, wearables, and crowdsourcing for online social networks and the metaverse
  • Cloud, edge, SDN, and NFV for online social networks and the metaverse
  • Non-terrestrial networks, UAV, and 5G/6G for online social networks and the metaverse
  • AI/ML, Data Science, Large Language Models, and Blockchains for online social networks and the metaverse
  • Measurement and Sensing of online social network and metaverse systems and applications
  • Modeling, algorithms, and theories for online social networks and the metaverse
  • Anomaly sensing and detection in online social networks and the metaverse
  • Ethical aspects and bias mitigation in Artificial Intelligence and the metaverse
  • Future trends in sensing for social networks and the metaverse

Submission

Important Dates

Submission deadline
Notification
Camera-ready paper deadline
Workshop
September 11, 2024, 23:59 (AoE)
October 2, 2024
October 16, 2024, 23:59 (AoE)
November 4, 2024
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Authors are encouraged to submit papers describing original and unpublished research, not currently under review in other venues, addressing state-of-the-art research and development in all aspects of mobile computing, online social networks, or the intersection of both. In particular, innovative, early-stage ideas and preliminary results are welcome. Submissions must be at most 6 single-spaced 8.5”x 11” pages with 10-pt font size in two-column format, including figures and tables. As for references, submissions may include as many pages as needed. All submissions must use the LaTeX (preferred) or Word styles found here. LaTeX submissions should use the acmart.cls template (sigconf option), with the 10-pt font. The first page must contain an abstract, the name(s) and affiliation(s) of the author(s). Each submission will receive at least three independent, blind peer reviews from the program committee. At least one of the authors of every accepted paper must register and present the paper at the workshop.


Accepted submissions will be available on the ACM digital library and presented in person at the conference.

Keynote


Prof. Xiangjie Kong

Keynote: Data and Knowledge Driven Computational Urban Science
Abstract: The rapid development of online social networks, intelligent monitoring, automatic data collection, intelligent perception, and high-performance computing technologies in recent years has facilitated an explosive growth of big data. The accessibility of various data about humanity has greatly influenced the research topics or methods that researchers focus on. Using these data, traditional social issues can be examined from new perspectives, revealing more social phenomena. At the same time, the availability of data has led to the emergence of new research topics and methods. Consequently, exploring research themes in the field of data and knowledge driven computational social science has garnered increasing attention. Data and knowledge driven computational social science employs theories from network science along with data processing and analysis techniques from computer science to address these social issues, attracting significant interest from research institutions and scholars in fields such as computer science, network science, data science, management science, social science, behavioral science, and physics. This talk will illustrate some related research work in computational urban science based on urban big data in the field of smart cities.
Bio: Dr. Xiangjie Kong is currently a Full Professor and Vice Dean in the College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. His research interests include big data, network science, and computational social science. 5 of his papers are selected as ESI- Hot Paper (Top 1‰), and 20 papers are ESI-Highly Cited Papers (Top 1%). His research has been reported by Nature Index and other medias. He has an h-index of 53 and i10-index of 130, and a total of more than 9500 citations to his work according to Google Scholar. He is named in the 2019 - 2024 world' s top 2% of Scientists List published by Stanford University, and the 2022-2024 Best Computer Science Scientists List published by Research.com. Dr. Kong received IEEE Vehicular Technology Society 2020 Best Land Transportation Paper Award, IEEE CSCWD 2024 Best Paper Award, and The Natural Science Fund of Zhejiang Province for Distinguished Young Scholars.

Program


Monday, November 4, 2024

Venue: The Dragon Hotel Hangzhou (Diamond Ballroom, Sub-Ballroom 1), 120 Shuguang Road, Xihu Area, Hangzhou, China

8:30-8:40 Opening Session
8:40-9:40 Keynote

Data and Knowledge Driven Computational Urban Science

Prof. Xiangjie Kong (Zhejiang University of Technology)

9:40-10:25 Session 1
9:40-9:55
Influential-nodes Identification in Hypergraphs Based on Degree-heterogeneous Hierarchical Spherical Algorithm

Daxi Liu (Hangzhou Normal University), Susu Zhang (Hangzhou Normal University), Chuang Liu (Hangzhou Normal University), Xin Pei (Taiyuan University of Technology), Xiu-Xiu Zhan (Hangzhou Normal University)


9:55-10:10
Historical Patterns, Evolution of Models, and Future Perspectives of Interdisciplinary Collaboration an Empirical Study Based on Global Scientific Literature Data from 1950 to 2020

Hui Zou (Shanghai University), Kunpeng XU (Fudan University) , Liwei Chen (Fudan University), Boen Liu (Duke Kunshan University), Jingjing Qu (Shanghai Artificial Intelligence Laboratory), Xiaoming Fu (Fudan University)


10:10-10:25
Revealing the Difficulty in Jailbreak Defense on Language Models for Metaverse

Zuting Kang (The Hong Kong University of Science and Technology (Guangzhou)), Yule Liu (The Hong Kong University of Science and Technology (Guangzhou)), Zhen Sun (The Hong Kong University of Science and Technology (Guangzhou)), Jingyi Zheng (The Hong Kong University of Science and Technology (Guangzhou))

10:25-10:40 Group Photo and Tea Break
10:40-11:25 Session 2
10:40-10:55
A Novel Multi-view Hypergraph Adaptive Fusion Approach for Representation Learning

Zheng Yang (Shenyang University of Technology), Yang Yu (Shenyang University of Technology), Yue Zhang (Shenyang University of Technology), Shanshan Lin (Shenyang University of Technology)


10:55-11:10
EGGPU: Enabling Efficient Large-Scale Network Analysis with Consumer-Grade GPUs

Jiawei Tang (Fudan University), Min Gao (Fudan University), Yu Xiao (Aalto University), Cong Li (Fudan University), Yang Chen (Fudan University)


11:10-11:25
Fair Influence Maximization in Hypergraphs

Jinfeng Xie (Hangzhou Normal University), Su-Su Zhang (Hangzhou Normal University), Chuang Liu (Hangzhou Normal University), Xiu-Xiu Zhan (Hangzhou Normal University)


11:25-12:10 Session 3
11:25-11:40
AdSpectorX: A Multimodal Expert Spector for Covert Advertising Detection on Chinese Social Media

Zongmin Zhang (The Hong Kong University of Science and Technology (Guangzhou)), Yujie Han (Institut Polytechnique de Paris), Zhou Zhang (Dalian University of Technology), Yule Liu (The Hong Kong University of Science and Technology (Guangzhou)), Jingyi Zheng (Hong Kong University of Science and Technology (Guangzhou)), Zhen Sun (The Hong Kong University of Science and Technology (Guangzhou))


11:40-11:55
SCI-MKGC: A MKGC Method Based on Spatial Context and Interaction Attention

Rui Wen (Dalian Univerisity of Technology), Zhe Zhan (Dalian Univerisity of Technology), RuoLin Li (Dalian Univerisity of Technology), Duo Yu (Dalian Univerisity of Technology), Anni Chen (University of Wollongong), JiaXi Chen (Dalian Univerisity of Technology), Shuo Yu (Dalian Univerisity of Technology), Qiang Zhang (Dalian Univerisity of Technology)


11:55-12:10
Confronting The Dark Side of the Metaverse: A Vision of Criminal Punishment for Safeguarding Metaverse Users

Chan-In Sio (The Hong Kong Polytechnic Unversity), Xian Wang (The Hong Kong Polytechnic University), Lik-Hang Lee (The Hong Kong Polytechnic University)

12:10-12:15 Closing Remarks

Registration

Organizers

General Chairs:

  • Yupeng Li (Hong Kong Baptist University, China)
  • Lei Jiao (University of Oregon, USA)

TPC Chairs:

  • Qingyuan Gong (Fudan University, China)
  • Xinlei He (Hong Kong University of Science and Technology (Guangzhou), China)

TPC Members:

  • Shenghui Cheng (WestLake University, China)
  • Pengyuan Zhou (Aarhus University, Denmark)
  • Zeyang Sha (CISPA, Germany)
  • Lik-Hang Lee (The Hong Kong Polytechnic University, China)
  • Jianxiong Guo (Beijing Normal University, China)
  • Hong-Ning Dai (Hong Kong Baptist University, China)
  • Xueyan Tang (National University of Singapore, Singapore)
  • Shuai Xu (Nanjing University of Aeronautics and Astronautics, China)
  • Xiang Su (Norwegian University of Science and Technology, Norway)
  • Dimitrios Chatzopoulos (University College Dublin, Ireland)
  • Xiu-Xiu Zhan (Hangzhou Normal University, China)
  • Shuo Yu (Dalian Univerisity of Technology, China)
  • Ruiqi Li (Beijing University of Chemical Technology, China)
  • Zehua Guo (Beijing Institute of Technology, China)
  • Philipp A. Rauschnabel (Universität der Bundeswehr München, Germany)
  • Gerd Bruder (University of Central Florida, USA)
  • Danda B. Rawat (Howard University, USA)
  • Hao-Chiang Koong Lin (National University of Tainan, China)
  • Yong Cih Yang (National Taiwan Normal University, China)
  • Weiwei Gu (Beijing University of Chemical Technology, China)

    • Web Chair:

    • Kebing Liu (Fudan University, China)
    • Yifeng Luo (Hong Kong Baptist University, Hong Kong)

History

SocialMeta has a long-established history itself and is in fact a successor of the previous workshop series, HotPOST, which refers to “Hot Topics in Pervasive Mobile and Online Social Networking”. HotPOST has been held annually during 2009-2020, in conjunction with ACM MobiHoc and IEEE ICDCS during 2012-2017 and with IEEE INFOCOM during 2018-2020.


In 2022, we renamed HotPOST to SocialMeta, which incorporated the various topics about the social network and metaverse. SocialMeta has been held in conjunction with IEEE ICDCS during 2022 and 2023, and has also kept adjusting its focuses and themes as time goes in order to capture and reflect the state-of-the-art technology advances. It keeps attracting submissions from all over the world, including many renowned universities and institutes.