Social Network Analytics: Hidden and Complex Fraud Schemes

Author(s):  
Flavio Villanustre ◽  
Borko Furht
2013 ◽  
Vol 19 (7) ◽  
pp. 1095-1108 ◽  
Author(s):  
A. Perer ◽  
I. Guy ◽  
E. Uziel ◽  
I. Ronen ◽  
M. Jacovi

2018 ◽  
Vol 8 (4) ◽  
pp. 60 ◽  
Author(s):  
Oana Fodor ◽  
Alina Fleștea ◽  
Iulian Onija ◽  
Petru Curșeu

Multiparty systems (MPSs) are defined as collaborative task-systems composed of various stakeholders (organizations or their representatives) that deal with complex issues that cannot be addressed by a single group or organization. Our study uses a behavioral simulation in which six stakeholder groups engage in interactions in order to reach a set of agreements with respect to complex educational policies. We use a social network perspective to explore the dynamics of network centrality during intergroup interactions in the simulation and show that trust self-enhancement at the onset of the simulation has a positive impact on the evolution of network centrality throughout the simulation. Our results have important implications for the social networks dynamics in MPSs and point towards the benefit of using social network analytics as exploration and/or facilitating tools in MPSs.


2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Janea Triplet ◽  
Andrew Harrison ◽  
Brian Mennecke ◽  
Akmal Mirsadikov

This paper introduces an approach for the examination and organization of unstructured text to identify relationships between networks of individuals. This approach uses discourse analysis to identify information providers and recipients and determines the structure of covert organizations irrespective of the language that facilitate conversations between members. Then, this method applies social network analytics to determine the arrangement of a covert organization without any a priori knowledge of the network structure. This approach is tested and validated using communication data collected in a virtual world setting. Our analysis indicates that the proposed framework successfully detected the covert structure of three information networks, and their cliques, within an online gaming community during a simulation of a large-scale event.


2017 ◽  
Vol 85 ◽  
pp. 204-220 ◽  
Author(s):  
María Óskarsdóttir ◽  
Cristián Bravo ◽  
Wouter Verbeke ◽  
Carlos Sarraute ◽  
Bart Baesens ◽  
...  

2016 ◽  
Vol 40 (5) ◽  
pp. 500 ◽  
Author(s):  
Shahadat Uddin ◽  
Margaret Kelaher ◽  
Uma Srinivasan

Previous studies have documented the application of electronic health insurance claim data for health services research purposes. In addition to administrative and billing details of healthcare services, insurance data reveal important information regarding professional interactions and/or links that emerge among healthcare service providers through, for example, informal knowledge sharing. By using details of such professional interactions and social network analysis methods, the aim of the present study was to develop a research framework to explore health care coordination and collaboration. The proposed framework was used to analyse a patient-centric care coordination network and a physician collaboration network. The usefulness of this framework and its applications in exploring collaborative efforts of different healthcare professionals and service providers is discussed. What is known about the topic? Application of methods and measures of social network analytics in exploring different health care collaboration and coordination networks is a comparatively new research direction. It is apparent that no other study in the present healthcare literature proposes a generic framework for examining health care collaboration and coordination using an administrative claim dataset. What does this paper add? Using methods and measures of social network analytics, this paper proposes a generic framework for analysing various health care collaboration and coordination networks extracted from an administrative claim dataset. What are the implications for the practitioners? Healthcare managers or administrators can use the framework proposed in the present study to evaluate organisational functioning in terms of effective collaboration and coordination of care in their respective healthcare organisations.


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