Linkage Analysis is a networking process that links correlated entities with aims to extract certain patterns or movements in data. (Byrne 2002)
Link Analysis is applied in various areas as it is useful in searching and clearly defining the relation among each different entity on big data.
|Finance||Financial transaction data, profile||Anti-Money Laundering|
|Communications Network||Communications records, profile||Telecommunication Fraud|
|Business Intelligence||Customer, service, supplier, partner, transaction history||Informal network analysis, sub-groups|
|GIS||Traffic flow data||Bottleneck section, shortest distance|
|Crime/Fraud Investigation||Transaction history, call history, regional information, incident information||Insurance fraud, criminal identification|
ECMinerLA™ Monitor consists of four windows; menu window, linkage window showing relations between entities, attribute window showing values for entities and links and summary report window showing all information above in a simple grid.
ECMinerLA ensures efficiency of linkage analysis by providing diverse layout in tree, bundle, circle and radial form.
The feature allows search for different entity attributes, link attributes and score information.
Summary Reports function displays information including transaction history, bank account holder and bank account information (customized by tasks related to each client). With a click on the variables header, data are aligned either in ascending or descending order. By synchronizing data in grid and linkage, choosing data on the grid automatically lead to picking the equivalent data on linkage window.
The filtering feature allows users to choose data as they see fit so that they can efficiently process large-scale data.
The feature allows users to intuitively figure out the concentration of linkages by looking at different thickness of linkages that are determined by the number of inter-entity links.