Work

DAPA-V10: Discovery and Analysis of Patterns and Anomalies in Volatile Time-Evolving Networks

Year: 2009

Type: article

Abstract: We address the problems of finding patterns and detecting anomalous activities in volatile time-evolving networks such as communication networks (as opposed to slowly evolving networks like co-authorship graphs). Our approach, DAPA-V10, utilizes a simple compact graph representation that assigns weights to edges in a way that captures the frequency, duration, and recency of edges. Given this weighted “cumulative ” graph, DAPA-V10 finds

Source: OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Authors: Brian Thompson, Tina Eliassi‐Rad

Institutions: Rutgers, The State University of New Jersey, Lawrence Livermore National Laboratory

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W424829636

FWCI: 0.423

Cites: 12

Cited by: 11

Related to: 10