Please use this identifier to cite or link to this item:
|Title:||BiVA : Bitcoin network visualization & analysis||Authors:||Oggier, Frédérique
DRNTU::Engineering::Computer science and engineering
|Issue Date:||2018||Source:||Oggier, F., Phetsouvanh, S., & Datta, A. (2018). BiVA : Bitcoin network visualization & analysis. Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW). doi:10.1109/ICDMW.2018.00210||Abstract:||We showcase a graph mining tool, BiVA, for visualization and analysis of the Bitcoin network. It enables data exploration, visualization of subgraphs around nodes of interest, and integrates both standard and new algorithms, including a general algorithm for flow based clustering for directed graphs, and other Bitcoin network specific wallet address aggregation mechanisms. The BiVA user interface makes it easy to get started with a basic visualization that gives insights into nodes of interests, and the tool is modular, allowing easy integration of new algorithms. Its functionalities are demonstrated with a case study of extortion of Ashley Madison data breach victims.||URI:||https://hdl.handle.net/10356/88895
|DOI:||https://doi.org/10.1109/ICDMW.2018.00210||Rights:||© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/ICDMW.2018.00210||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||SCSE Conference Papers|
SPMS Conference Papers
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.