Social Network Analysis of Cryptocurrency using Business Intelligence Dashboard

被引:0
|
作者
Setyono J.C. [1 ]
Suryawidjaja W.S. [1 ]
Girsang A.S. [2 ]
机构
[1] Computer Science Department, School of Computer Science, Bina Nusantara University, Jakarta
[2] Computer Science Department, BINUS Graduate Program, Bina Nusantara University, Jakarta
来源
HighTech and Innovation Journal | 2022年 / 3卷 / 02期
关键词
Business Intelligence; Cryptocurrency; Social Media; Social Network Analysis;
D O I
10.28991/HIJ-2022-03-02-09
中图分类号
学科分类号
摘要
There are currently more than 10.000 cryptocurrencies available to buy from the online market, with a vast range of prices for each coin it sells. The fluctuation of each coin is affected by any social events or by several important companies or people behind it. The aim of this research is to compare three cryptocurrencies, which are Bitcoin, Ethereum, and Binance Coin, using Social Network Analysis (SNA) by visualizing them using Business Intelligence (BI Dashboard). This study uses the SNA parameters of degree, diameter, modularity, centrality, and path length for each network and its actors and their actual market price by crawling (data collecting process) from Twitter as one of the social media platforms. From the research conducted, the popularity of cryptocurrencies is affected by their market price and the activeness of their actors on social media. These results are important because they could help in the decision-making to buy cryptocurrencies with high popularity on social media because they tend to retain their value over time and could benefit from price spikes from influential people. © Authors retain.
引用
收藏
页码:220 / 229
页数:9
相关论文
共 50 条
  • [41] Profile Analysis for Cryptocurrency in Social Media
    Narman, Husnu S.
    Uulu, Alymbek Damir
    Liu, Jinwei
    [J]. 2018 IEEE INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT), 2018, : 229 - 234
  • [42] How cryptocurrency affects economy? A network analysis using bibliometric methods
    Yue, Yao
    Li, Xuerong
    Zhang, Dingxuan
    Wang, Shouyang
    [J]. INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2021, 77
  • [43] Developing an intelligence analysis process through social network analysis
    Waskiewicz, Todd
    LaMonica, Peter
    [J]. EVOLUTIONARY AND BIO-INSPIRED COMPUTATION: THEORY AND APPLICATIONS II, 2008, 6964
  • [44] An early look at the LDBC Social Network Benchmark's Business Intelligence workload
    Szarnyas, Gabor
    Prat-Perez, Arnau
    Averbuch, Alex
    Marton, Jozsef
    Paradies, Marcus
    Kaufmann, Moritz
    Erling, Orri
    Boncz, Peter
    Haprian, Vlad
    Antal, Janos Benjamin
    [J]. GRADES-NDA '18: PROCEEDINGS OF THE 1ST ACM SIGMOD JOINT INTERNATIONAL WORKSHOP ON GRAPH DATA MANAGEMENT EXPERIENCES & SYSTEMS (GRADES) AND NETWORK DATA ANALYTICS (NDA) 2018 (GRADES-NDA 2018), 2018,
  • [45] Social media and business intelligence: defining and understanding social media intelligence
    Dutot, Vincent
    Mosconi, Elaine
    [J]. JOURNAL OF DECISION SYSTEMS, 2016, 25 (03) : 191 - 192
  • [46] Sentiment Analysis using Machine Learning for Business Intelligence
    Chaturvedi, Saumya
    Mishra, Vimal
    Mishra, Nitin
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON POWER, CONTROL, SIGNALS AND INSTRUMENTATION ENGINEERING (ICPCSI), 2017, : 2162 - 2166
  • [47] Data Analysis using Business Intelligence in the educational context
    Hernandez Cruz, Luz Maria
    Barrera Lao, Francisco Javier
    Mex Alvarez, Diana Concepcion
    Estrada Segovia, Guadalupe Manuel
    Uc Rios, Carlos Eduardo
    Lopez Aban, Luis Angel
    [J]. PROCEEDINGS OF 2021 16TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2021), 2021,
  • [48] Business Process Reengineering Using Enterprise Social Network
    Al-Thuhli, Amjed
    Al-Badawi, Mohammed
    [J]. 2017 9TH IEEE-GCC CONFERENCE AND EXHIBITION (GCCCE), 2018,
  • [49] Realization Business Intelligence in Commerce using Microsoft Business Intelligence
    Krneta, Dragoljub
    Radosav, Dragica
    Radulovic, Biljana
    [J]. 2008 6TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS, 2008, : 210 - +
  • [50] Social Media Analytics Using Business Intelligence and Social Media Tools - Differences and Implications
    Wittwer, Matthias
    Reinhold, Olaf
    Alt, Rainer
    Jessen, Finn
    Stueber, Richard
    [J]. BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2016, 2017, 263 : 252 - 259