Frequent Links: An Approach That Combines Attributes and Structure for Extracting Frequent Patterns in Social Networks
type: Dataset
description: International audience
issued: 2026-05-30T06:09:51.516345
language: en
modified: 2026-05-30T06:09:51.516351
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: frequent-links
keyword: frequent-patterns
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-mocomputer-science-csmodeling-and-simulation
keyword: social-network
landing page: Advances in Database (Weston, Conn.)s and Information Systems

Frequent Links: An Approach That Combines Attributes and Structure for Extracting Frequent Patterns in Social Networks
type: Distribution
format: HTML
issued: 2026-05-30T06:09:51.569330
modified: 2026-05-30T06:09:51.488821
access URL: https://hal.science/hal-00767050

test_moissonnage_selune
type: Agent