SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Hoang H. Nguyen
  • Dmytro Bozhkov
  • Zahra Ahmadi
  • Nhat Minh Nguyen
  • Thanh Nam Doan

Organisationseinheiten

Externe Organisationen

  • Sunshine Tech Ho Chi Minh
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksSIGIR 2022
UntertitelProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Seiten3036-3045
Seitenumfang10
ISBN (elektronisch)9781450387323
PublikationsstatusVeröffentlicht - 7 Juli 2022
Veranstaltung45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022 - Madrid, Spanien
Dauer: 11 Juli 202215 Juli 2022

Abstract

Social networks have become an inseparable part of human activities. Most existing social networks follow a centralized system model, which despite storing valuable information of users, arise many critical concerns such as content ownership and over-commercialization. Recently, decentralized social networks, built primarily on blockchain technology, have been proposed as a substitution to eliminate these concerns. Since decentralized architectures are mature enough to be on par with the centralized ones, decentralized social networks are becoming more and more popular. Decentralized social networks can offer both common options like writing posts and comments and more advanced options such as reward systems and voting mechanisms. They provide rich eco-systems for the influencers to interact with their followers and other users via staking systems based on cryptocurrency tokens. The vast and valuable data of the decentralized social networks open several new directions for the research community to extend human behavior knowledge. However, accessing and collecting data from these social networks is not easy because it requires strong blockchain knowledge, which is not the main focus of computer science and social science researchers. Hence, our work proposes the SoChainDB framework that facilitates obtaining data from these new social networks. To show the capacity and strength of SoChainDB, we crawl and publish Hive data - one of the largest blockchain-based social networks. We conduct extensive analyses to understand the insight of Hive data and discuss some interesting applications, e.g., game, non-fungible tokens market built upon Hive. It is worth mentioning that our framework is well-adaptable to other blockchain social networks with minimal modification. SoChainDB is publicly accessible at http: //sochaindb.com and the dataset is available under the CC BY-SA 4.0 license.

ASJC Scopus Sachgebiete

Zitieren

SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. / Nguyen, Hoang H.; Bozhkov, Dmytro; Ahmadi, Zahra et al.
SIGIR 2022 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022. S. 3036-3045.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Nguyen, HH, Bozhkov, D, Ahmadi, Z, Nguyen, NM & Doan, TN 2022, SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. in SIGIR 2022 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. S. 3036-3045, 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022, Madrid, Spanien, 11 Juli 2022. https://doi.org/10.1145/3477495.3531735
Nguyen, H. H., Bozhkov, D., Ahmadi, Z., Nguyen, N. M., & Doan, T. N. (2022). SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. In SIGIR 2022 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (S. 3036-3045) https://doi.org/10.1145/3477495.3531735
Nguyen HH, Bozhkov D, Ahmadi Z, Nguyen NM, Doan TN. SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data. in SIGIR 2022 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022. S. 3036-3045 doi: 10.1145/3477495.3531735
Nguyen, Hoang H. ; Bozhkov, Dmytro ; Ahmadi, Zahra et al. / SoChainDB : A Database for Storing and Retrieving Blockchain-Powered Social Network Data. SIGIR 2022 : Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 2022. S. 3036-3045
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title = "SoChainDB: A Database for Storing and Retrieving Blockchain-Powered Social Network Data",
abstract = "Social networks have become an inseparable part of human activities. Most existing social networks follow a centralized system model, which despite storing valuable information of users, arise many critical concerns such as content ownership and over-commercialization. Recently, decentralized social networks, built primarily on blockchain technology, have been proposed as a substitution to eliminate these concerns. Since decentralized architectures are mature enough to be on par with the centralized ones, decentralized social networks are becoming more and more popular. Decentralized social networks can offer both common options like writing posts and comments and more advanced options such as reward systems and voting mechanisms. They provide rich eco-systems for the influencers to interact with their followers and other users via staking systems based on cryptocurrency tokens. The vast and valuable data of the decentralized social networks open several new directions for the research community to extend human behavior knowledge. However, accessing and collecting data from these social networks is not easy because it requires strong blockchain knowledge, which is not the main focus of computer science and social science researchers. Hence, our work proposes the SoChainDB framework that facilitates obtaining data from these new social networks. To show the capacity and strength of SoChainDB, we crawl and publish Hive data - one of the largest blockchain-based social networks. We conduct extensive analyses to understand the insight of Hive data and discuss some interesting applications, e.g., game, non-fungible tokens market built upon Hive. It is worth mentioning that our framework is well-adaptable to other blockchain social networks with minimal modification. SoChainDB is publicly accessible at http: //sochaindb.com and the dataset is available under the CC BY-SA 4.0 license.",
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note = "Funding Information: This work was supported by the European Union{\textquoteright}s Horizon 2020 research and innovation program under grant agreement No. 833635 (project ROXANNE: Real-time network, text, and speaker analytics for combating organized crime, 2019-2022).; 45th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2022 ; Conference date: 11-07-2022 Through 15-07-2022",
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AU - Nguyen, Hoang H.

AU - Bozhkov, Dmytro

AU - Ahmadi, Zahra

AU - Nguyen, Nhat Minh

AU - Doan, Thanh Nam

N1 - Funding Information: This work was supported by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 833635 (project ROXANNE: Real-time network, text, and speaker analytics for combating organized crime, 2019-2022).

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N2 - Social networks have become an inseparable part of human activities. Most existing social networks follow a centralized system model, which despite storing valuable information of users, arise many critical concerns such as content ownership and over-commercialization. Recently, decentralized social networks, built primarily on blockchain technology, have been proposed as a substitution to eliminate these concerns. Since decentralized architectures are mature enough to be on par with the centralized ones, decentralized social networks are becoming more and more popular. Decentralized social networks can offer both common options like writing posts and comments and more advanced options such as reward systems and voting mechanisms. They provide rich eco-systems for the influencers to interact with their followers and other users via staking systems based on cryptocurrency tokens. The vast and valuable data of the decentralized social networks open several new directions for the research community to extend human behavior knowledge. However, accessing and collecting data from these social networks is not easy because it requires strong blockchain knowledge, which is not the main focus of computer science and social science researchers. Hence, our work proposes the SoChainDB framework that facilitates obtaining data from these new social networks. To show the capacity and strength of SoChainDB, we crawl and publish Hive data - one of the largest blockchain-based social networks. We conduct extensive analyses to understand the insight of Hive data and discuss some interesting applications, e.g., game, non-fungible tokens market built upon Hive. It is worth mentioning that our framework is well-adaptable to other blockchain social networks with minimal modification. SoChainDB is publicly accessible at http: //sochaindb.com and the dataset is available under the CC BY-SA 4.0 license.

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