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Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis
Summary: Introduces a cohesion-oriented subgraph model and I/O-efficient discovery algorithm for large-scale social graphs. An integrated visual analytics system retrieves keyword-local communities, hierarchically lays out influential actors, and summarizes interactions via tag clouds.
(summarized by gpt-5.6-luna on Jul 24 2026)
Paper ID
h253f655d2eaafb7f
Venue
VLDB
Year
2013
Pagerank
0.00015905948
Overall Rank
589 | 96.05%
DOI
10.14778/2535568.2535570
Incoming Non-self Citations Over Time
BibTeX Citation
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@article{zhao_vldb13,
title = {{Large Scale Cohesive Subgraphs Discovery for Social Network Visual Analysis}},
author = {Zhao, Feng and Tung, Anthony K. H.},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {2},
pages = {85--96},
doi = {10.14778/2535568.2535570},
url = {https://doi.org/10.14778/2535568.2535570},
year = {2013}
}
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