Chronoweb: An open-source platform for analyzing temporal information diffusion on the web

被引:0
作者
Gaza, Haifa [1 ]
Byun, Jaewook [1 ]
机构
[1] Sejong Univ, Dept Software, 209 Neungdong Ro, Seoul 05006, South Korea
基金
新加坡国家研究基金会;
关键词
Chronoweb; Temporal network; Temporal graph; Temporal information diffusion; ChronoGraph; Graph database;
D O I
10.1016/j.softx.2024.101738
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Analyzing information diffusion on temporal networks provides invaluable insights into how information spreads throughout a network over time, such as cryptocurrency money flow and virus propagation. Chronoweb is an open-source web information system that analyzes temporal information diffusion. The proposed system embraces existing analytical approaches with a unified RESTful web service. The paper presents the system architecture and its architectural decisions to resolve the challenges of embracing the state-of-theart approaches: temporal graph traversals and incremental computation. We share the additional in-depth quantitative experiments to evaluate the decisions.
引用
收藏
页数:6
相关论文
共 26 条
  • [21] Motifs in Temporal Networks
    Paranjape, Ashwin
    Benson, Austin R.
    Leskovec, Jure
    [J]. WSDM'17: PROCEEDINGS OF THE TENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING, 2017, : 601 - 610
  • [22] Beyond COVID-19 pandemic: Topology-aware optimization of vaccination strategy for minimizing virus spreading
    Petrizzelli, Francesco
    Guzzi, Pietro Hiram
    Mazza, Tommaso
    [J]. COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2022, 20 : 2664 - 2671
  • [23] Ponge J., 2020, Vert. x in action: Asynchronous and reactive java
  • [24] Raphtory: Streaming analysis of distributed temporal graphs
    Steer, Benjamin
    Cuadrado, Felix
    Clegg, Richard
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2020, 102 (453-464): : 453 - 464
  • [25] Tsoukanara E., 2023, P 26 INT C EXT DAT T, P221
  • [26] CJS']JSpector: A Novel Cryptojacking Detection Method Using Hardware Trace and Deep Learning
    Ying, Qianjin
    Yu, Yulei
    Tian, Donghai
    Jia, Xiaoqi
    Ma, Rui
    Hu, Changzhen
    [J]. JOURNAL OF GRID COMPUTING, 2022, 20 (03)