{Scellato11} Salvatore Scellato, Cecilia Mascolo, Mirco Musolesi, Jon Crowcroft. Track Globally, Deliver Locally: Improving Content Delivery Networks by Tracking Geographic Social Cascades. Proc. of WWW, 2011. [PDF] how geographic information extracted from social cascades can be exploited to improve caching of multimedia files in a Content Delivery Network
{Mathieu12} Bertrand Mathieu, Patrick Truong, Wei You, Jean-françois Peltier. Information-centric networking: a natural design for social network applications. IEEE Communications Magazine, 2012, 50(7):44-51. [PDF] The CCN paradigm perfectly fits with the OSN applications behavior and can help to save network load
{Wang12} Zhi Wang, Lifeng Sun, Xiangwen Chen, Wenwu Zhu, Jiangchuan Liu, Minghua Chen, and Shiqiang Yang. Propagation-based social-aware replication for social video contents. Proc. of the 20th ACM International Conference on Multimedia (MM), 2012. [PDF] a propagation-based social-aware replication framework using a hybrid edge-cloud and peer-assisted architecture, namely PSAR, to serve the social video contents
{Bernardini14} César Bernardini, Thomas Silverston, Olivier Festor. Information-centric networking: a natural design for social network applications. Proc. of IFIP Networking, 2014. [PDF]
{Hu15} Han Hu, Yonggang Wen, Tat-Seng Chua, Jian Huang, Wenwu Zhu, and Xuelong Li. Joint Content Replication and Request Routing for Social Video Distribution Over Cloud CDN: A Community Clustering Method. IEEE Transactions on Circuits and Systems for Video Technology, 2016, 26(7):1320-1333. [PDF] present a social video replication and user request dispatching mechanism in the cloud content delivery network architecture to reduce the system operational cost, while guaranteeing the averaged service latency
{Wang15} Zhi Wang, Wenwu Zhu, Minghua Chen, Lifeng Sun, Shiqiang Yang. CPCDN: Content Delivery Powered by Context and User Intelligence. IEEE Transactions on Multimedia, 2015, 17(9):1460-1470. [PDF]
{Kilanioti15} Irene Kilanioti. Improving Multimedia Content Delivery via Augmentation With Social Information: The Social Prefetcher Approach. IEEE Transactions on Multimedia, 2015, 17(9):1460-1470. [PDF] Aiming to reduce bandwidth usage, we incorporated a dynamic mechanism to CDNsim, a stand-alone CDN traffic simulator. This mechanism is based on a dynamic policy that takes patterns of information transmission over OSNs into account.
{Wang15} Yichuan Wang, Xin Liu, David Chu, and Yunxin Liu. EarlyBird: Mobile Prefetching of Social Network Feeds via Content Preference Mining and Usage Pattern Analysis. Proc. of the 16th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2015. [PDF]
{Wu17} Chao Wu, Xu Chen, Wenwu Zhu, Yaoxue Zhang. Socially-Driven Learning-Based Prefetching in Mobile Online Social Networks. IEEE/ACM Transactions on Networking, 2017, 25(4):2320-2333. [PDF] reveal that the social friendship has a great impact on user's media content click behavior
{Bian19} Kaigui Bian, Chengliang Gao, Yu Tao, Yuanxing Zhang, Lingyang Song, Shaoling Dong, Xiaoming Li. Learning at the Edge: Smart Content Delivery in Real World Mobile Social Networks. IEEE Network, 2019, 33(4):208-215. [PDF] present a machine learning based framework for predicting the dynamics of content demands of MSN users at the network edge, which employs a smart content delivery scheme to dynamically deliver the content to users according to their future demands as predicted
{Huang21} Shaoyuan Huang, Heng Zhang, Xiaofei Wang, Min Chen, Jianxin Li, and Victor C. M. Leung. Spatio-Temporal-Social Multi-Feature-based Fine-Grained Hot Spots Prediction for Content Delivery Services in 5G Era. Proc. of ACM CIKM, 2021. [PDF] propose a spatio-temporal-social multi-feature extraction framework for spatio fine-grained CDSs hot spots prediction
Decentralized Online Social Networks
{Xu11} Tianyin Xu, Yang Chen, Lei Jiao, Ben Y. Zhao, Pan Hui and Xiaoming Fu. Scaling Microblogging Services with Divergent Traffic Demands. Proc. of The ACM/IFIP/USENIX 12th International Middleware Conference (Middleware), 2011. [PDF] We present Cuckoo, a new microblogging system that offloads processing and bandwidth costs away from a small centralized server base while ensuring reliable message delivery
{Zignani18} Matteo Zignani, Sabrina Gaito, Gian Paolo Rossi. Follow the “Mastodon”: Structure and Evolution of a Decentralized Online Social Network. Proc. of ICWSM, 2018.
{Raman19} Aravindh Raman, Sagar Joglekar, Emiliano De Cristofaro, Nishanth Sastry, Gareth Tyson. Challenges in the Decentralised Web: The Mastodon Case. Proc. of IMC, 2019. We found that Mastodon’s design decision of giving everyone the ability to establish an independent instance of their own has led to an active ecosystem, with instances covering a wide variety of topics. However, a common theme in our work has been the discovery of apparent forms of centralisation within Mastodon. For example, 10% of instances host almost half of the users, and certain categories exhibit remarkable reliance on a small set of instances.
{Zulli20} Diana Zulli, Miao Liu, Robert Gehl. Rethinking the “social” in “social media”: Insights into topology, abstraction, and scale on the Mastodon social network. New Media & Society, 2020, 22(7):1188–1205.
{Nguyen22} Hoang H. Nguyen, Dmytro Bozhkov, Zahra Ahmadi, Nhat-Minh Nguyen, and Thanh-Nam Doan. SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. Proc. of SIGIR, 2022.
{Cava22} Lucio La Cava, Sergio Greco, Andrea Tagarelli. Information consumption and boundary spanning in Decentralized Online Social Networks: The case of Mastodon users. Online Social Networks and Media, 2022, 30:100220.
{Logas22} Jacob Logas, Ari Schlesinger, Zhouyu Li, and Sauvik Das. Image DePO: Towards Gradual Decentralization of Online Social Networks using Decentralized Privacy Overlays. Proc. ACM Hum.-Comput. Interact., 2022, 6(CSCW1):Article 60.
{Gehl23} Robert W. Gehl & Diana Zulli. The digital covenant: non-centralized platform governance on the mastodon social network, Information, Communication & Society, 2023, 26(16):3275-3291.
{Zuo23} Wenrui Zuo, Aravindh Raman, Raul Mondragon and Gareth Tyson. Set in Stone: Analysis of an Immutable Web3 Social Media Platform. Prof. of WWW, 2023. particularly unique feature is that users must pay BCH tokens for each interaction (e.g., posting, following). We study how this may impact the social makeup of the platform. We therefore study memo.cash as both a social network and a transaction platform.
{He23} Jiahui He, Haris Bin Zia, Ignacio Castro, Aravindh Raman, Nishanth Sastry and Gareth Tyson. Flocking to Mastodon: Tracking the Great Twitter Migration. Proc. of ACM IMC, 2023. content of tweets as well as the number of URLs, the number of likes, and the length of tweets are effective metrics for the prediction of user migration
{Anaobi23} Ishaku Hassan Anaobi, Aravindh Raman, Ignacio Castro, Haris Bin Zia, Damilola Ibosiola, Gareth Tyson. Will Admins Cope? Decentralized Moderation in the Fediverse. Proc. of WWW, 2023.
{Cava23} Lucio La Cava, Luca Maria Aiello & Andrea Tagarelli. Drivers of social influence in the Twitter migration to Mastodon. Scientific Reports, 2023, volume 13, Article number: 21626. analyzed the social network and the public conversations of about 75,000 migrated users and observed that the temporal trace of their migrations is compatible with a phenomenon of social influence, as described by a compartmental epidemic model of information diffusion
{Jeong24} Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu. Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. Proc. of AAAI ICWSM, 2024. elaborate on how we investigate these questions by collecting data over 10,000 users who migrated from Twitter to Mastodon within the first ten weeks following the ownership change of Twitter
{Agarwal24} Vibhor Agarwal, Aravindh Raman, Nishanth Sastry, Ahmed M. Abdelmoniem, Gareth Tyson, Ignacio Castro Decentralised Moderation for Interoperable Social Networks: A Conversation-based Approach for Pleroma and the Fediverse. Proc. of AAAI ICWSM, 2024. Thus, each server only has a partial view of an entire conversation because conversations are often federated across servers in a non-synchronized fashion. To address this, we propose a decentralised conversation-aware content moderation approach suitable for the fediverse.
{Zia24} Haris Bin Zia, Jiahui He, Ignacio Castro and Gareth Tyson. Fediverse Migrations: A Study of User Account Portability on the Mastodon Social Network. Proc. of ACM IMC, 2024.
{Tosch24} Emma Tosch, Luis Garcia, Cynthia Li, Chris Martens. Privacy Policies on the Fediverse: A Case Study of Mastodon Instances. Proceedings on Privacy Enhancing Technologies, 2024, 4:700-733.
D2D / mobile social networks
{Hui11} Pan Hui, Jon Crowcroft, Eiko Yoneki. BUBBLE Rap: Social-Based Forwarding in Delay-Tolerant Networks. IEEE Transactions on Mobile Computing, 2011, 10(11):1576-1589. [PDF]
{Li14} Yong Li, Ting Wu, Pan Hui, Depeng Jin, and Sheng Chen. Social-Aware D2D Communications: Qualitative Insights and Quantitative Analysis. IEEE Communications Magazine, 2014, 52(6):150-158.
{Bai16} Bo Bai, Li Wang, Zhu Han, Wei Chen, Tommy Svensson. Caching based socially-aware D2D communications in wireless content delivery networks: a hypergraph framework. IEEE Wireless Communications, 2016, 23(4):74-81. [PDF]
{Wang18} Xiaofei Wang, Yuhua Zhang, Victor C. M. Leung, Nadra Guizani, Tianpeng Jiang. D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large-Scale Mobile Networks. IEEE Wireless Communications, 2018, 25(1):32-38.
{Wu20} Di Wu, Lambros Lambrinos, Thomas Przepiorka, Dmitri I. Arkhipov, Qiang Liu, Amelia C. Regan, Julie A. McCann. Enabling Efficient Offline Mobile Access to Online Social Media on Urban Underground Metro Systems. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(7):2750-2764. DeepOpp, a context-aware mobile system that facilitates offline access to online social media content
{Maqsood16} Tahir Maqsood, Osman Khalid, Rizwana Irfan, Sajjad A. Madani, and Samee U. Khan. Scalability Issues in Online Social Networks. ACM Comput. Surv., 2016, 49(2):Article 40. [PDF] We provide a comprehensive study of social networks along with their significant characteristics and categorize social network architectures into three broad categories: (a) centralized, (b) decentralized, and (c) hybrid. We also highlight various scalability issues faced by social network architectures.
{Zhou19} Ke Zhou, Si Sun, Hua Wang, Ping Huang, Xubin He, Rui Lan, Wenyan Li, Wenjie Liu, Tianming Yang. Improving Cache Performance for Large-Scale Photo Stores via Heuristic Prefetching Scheme. IEEE Transactions on Parallel and Distributed Systems, 2019, 30(9):2033-2045. [PDF] propose to incorporate a prefetcher in the cache stack based on the observed immediacy feature that is unique to the QQPhoto workload
{Yang20} Juncheng Yang, Yao Yue, K. V. Rashmi. A large scale analysis of hundreds of in-memory cache clusters at Twitter. Proc. of USENIX OSDI, 2020. [PDF] significantly further the understanding of real-world cache workloads by collecting production traces from 153 in-memory cache clusters at Twitter