Bubbles behind Oceanus’ Fishing Market

This paper presents a visualization system designed to address the IEEE VAST Challenge 2024 Mini-Challenge 3. Our system allows for exploration both between and within communities. Users can freely explore the detailed information of a specific point and its neighbors within custom layers. Additionally, they can drag the timeline to observe changes, enabling the identification of collaboration shifts and anomalies among companies in the fishing market.

Authors

Institutions

Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/vastchallenge64683.2024.00006
Primary Topic
Coastal and Marine Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bubbles behind Oceanus’ Fishing Market

Xujian Shu, Meng Guo, Ailing Guo, Yi Shan et al.
Coastal and Marine Management
article

Bubbles behind Oceanus’ Fishing Market

Xujian Shu, Meng Guo, Ailing Guo, Yi Shan, Qianhui Li, Siming Chen, Tian Qiu
article en

Abstract

This paper presents a visualization system designed to address the IEEE VAST Challenge 2024 Mini-Challenge 3. Our system allows for exploration both between and within communities. Users can freely explore the detailed information of a specific point and its neighbors within custom layers. Additionally, they can drag the timeline to observe changes, enabling the identification of collaboration shifts and anomalies among companies in the fishing market.

Fudan University (CN)
Openalex Percentile: Top 70%
Coastal and Marine Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.