The application of social network analysis algorithms in a system supporting money laundering detection

Dreżewski, Rafał; Sepielak, Jan; Filipkowski, Wojciech

doi:10.1016/j.ins.2014.10.015

Cited by 103 publications

(52 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…We propose to use top-level theory to identify which topological feature should be considered in the calculations and to use domain knowledge explicitly. As an example, similar to our proposed strategy, the authors in [34] use well known social network metrics, like centrality and PageRank, to determine roles each criminal has in a money laundering network. The link between topological metrics and top-level roles was only possible through the cooperation of investigators with field knowledge of laundering methods, an approximation between domain knowledge, and bottom-up metrics.…”

Section: Influence Analysis Background From Social Network Analysis Rmentioning

confidence: 99%

Metrics for network power based on Castells’ Network Theory of Power: a case study on Brazilian elections

Verona

Oliveira

Hisse

et al. 2018

J Internet Serv Appl

View full text Add to dashboard Cite

The identification of power groups that act within the political structure is a tool for citizens and also a challenging research topic as an unstable and complex force of interests system. This paper presents metrics based on sociologist Manuel Castells' Network Theory of Power that reflect key factors for evaluating power: the imbalance between relationships; the ability to program the rules and protocols of the network; and the ability to serve as a switcher between two or more networks. A case study was developed using a network built on data from Brazilian Elections about electoral donations since 2002. The application of the metrics enabled to highlight some of the corporate and party interests dominant in the Brazilian context. The proposed metrics reflect the main contribution of this work: an approximation between sociology theory and topological analysis of a network. The use of domain knowledge combined with bottom-up strategies can leverage the comprehension of power and influence in political networks.

show abstract

Section: Influence Analysis Background From Social Network Analysis Rmentioning

confidence: 99%

Metrics for network power based on Castells’ Network Theory of Power: a case study on Brazilian elections

Verona

Oliveira

Hisse

et al. 2018

J Internet Serv Appl

View full text Add to dashboard Cite

show abstract

“…A number of extensive studies have been made over the past few years in behaviour analysis on Social Networks such as, Rafa Drezewski [1] presented a social network analysis component for detecting money laundering that makes use of data from bank statements and the National Court Register and construct and analyse social networks during an investigation into money laundering cases. The paper presented by Mamoun Alazab [2] examines the evolution of malware including the nature of its activity and variants, and the implication of this for computer security industry practices.…”

Section: Related Workmentioning

confidence: 99%

Recommendation System for Criminal Behavioral Analysis on Social Network using Genetic Weighted K-Means Clustering

Soundarya¹

2017

JCP

View full text Add to dashboard Cite

The accessibility and usage of social networking sites constructs both prospects and menaces for the users. In this research article, we propose a new recommendation system for predicting and recommending the criminal behavioral users on social network based upon the activities of the users. Our recommender system uses the proposed nine factor analysis method, clustering technique called Genetic Weighted K-Means clustering (GWKMC) and the existing classification algorithm namely Negative Selection Algorithm (NSA). The proposed recommendation system is evaluated by conducting various experiments using the Face book dataset (Latest) which is prepared on our own and also the Weblog dataset (Timeworn). The conducted experiments confirmed the efficacy of the proposed Recommender System.

show abstract

“…Interesting use of heuristics to create models of different processes can be found, among others, in [6], where the heuristics were used for traffic modelling, or in [7] which presents a heuristic approach to the semantic classification of text documents. With the use of the adopted heuristics it is possible to construct a model of a process, bearing in mind the fact that dependencies (relationships) obtained in this way can describe this model in an approximate way only.…”

Section: Heuristics and Heuristic Modelsmentioning

confidence: 99%

The Heuristic Model Based on LPR in the Context of Material Conversion

Wilk-Kołodziejczyk¹,

Kluska-Nawarecka²,

Nawarecki³

et al. 2017

Archives of Metallurgy and Materials

View full text Add to dashboard Cite

High complexity of the physical and chemical processes occurring in liquid metal is the reason why it is so difficult, impossible even sometimes, to make analytical models of these phenomena. In this situation, the use of heuristic models based on the experimental data and experience of technicians is fully justified since, in an approximate manner at least, they allow predicting the mechanical properties of the metal manufactured under given process conditions. The study presents a methodology applicable in the design of a heuristic model based on the formalism of the logic of plausible reasoning (LPR).The problem under consideration consists in finding a technological variant of the process that will give the desired product parameters while minimizing the cost of production.The conducted tests have shown the effectiveness of the proposed approach.

show abstract

The application of social network analysis algorithms in a system supporting money laundering detection

Cited by 103 publications

References 5 publications

Metrics for network power based on Castells’ Network Theory of Power: a case study on Brazilian elections

Metrics for network power based on Castells’ Network Theory of Power: a case study on Brazilian elections

Recommendation System for Criminal Behavioral Analysis on Social Network using Genetic Weighted K-Means Clustering

The Heuristic Model Based on LPR in the Context of Material Conversion

Contact Info

Product

Resources

About