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Found 5 papers, 2 papers with code
Correlation analysis of node and edge centrality measures in artificial complex networks
The importance of a node in a social network is identified through a set of measures called centrality.
Social and Information Networks
Graph and Network Theory for the analysis of Criminal Networks
This chapter provides an overview of key methods and tools that may be used for the analysis of criminal networks, which are presented in a real-world case study.
Social and Information Networks Physics and Society
Disrupting Resilient Criminal Networks through Data Analysis: The case of Sicilian Mafia
Herein, we borrow methods and tools from Social Network Analysis to (i) unveil the structure of Sicilian Mafia gangs, based on two real-world datasets, and (ii) gain insights as to how to efficiently disrupt them.
XML Matchers: approaches and challenges
Schema Matching, i. e. the process of discovering semantic correspondences between concepts adopted in different data source schemas, has been a key topic in Database and Artificial Intelligence research areas for many years.
Generalized Louvain Method for Community Detection in Large Networks
In this paper we present a novel strategy to discover the community structure of (possibly, large) networks.
Social and Information Networks Physics and Society
