scholarly journals Use of Social Network Analysis for Tax Control in Spain

2021 ◽  
Vol 239 (4) ◽  
pp. 159-197
Author(s):  
Ignacio González ◽  
◽  
Alfonso Mateos ◽  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Best Practices ◽  
Expert Knowledge ◽  
Lessons Learned ◽  
Research Strategies ◽  
Comprehensive Overview ◽  
Net Worth ◽  
Experienced User

The Spanish Tax Agency is an experienced user of big data and has now deployed social network analysis (SNA) tools. SNA tools have led to a qualitative leap in such wide-ranging areas as tax collection, enforcement, control of ultra-high-net-worth individuals, and money laundering. This paper presents a comprehensive overview of the different lines of research, strategies and results of nine projects over the last five years, including the lessons learned. We present the best practices in pattern discovery, the tools developed for the control of big fortunes and the strategy developed to create a bridge between expert knowledge and SNA technologies. We highlight the results of investigating interposed entities used to channel personal remuneration, complex corporate structures, and opaque companies.

SNA Based Expert Knowledge Map Design for Ship-Block Scheduling Decision-Making

2013 ◽  
Vol 694-697 ◽  
pp. 3522-3525 ◽  
Author(s):  
Yong Wen Huang ◽  
Zu Hua Jiang ◽  
Li Jun Liu
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Block Scheduling ◽  
Expert Knowledge ◽  
Knowledge Map ◽  
Map Building ◽  
Map Design ◽  
Reliable Basis

To organize the experts rationally and facilitate the sharing of expert knowledge, an expert knowledge map framework based on social network analysis (SNA) for ship-block scheduling is proposed. The function of expert knowledge map is analyzed, and the approaches of SNA based knowledge map building are introduced. Then, the network structure was analyzed quantitatively to find the factors that hold back the spreading and innovating of knowledge by SNA. The result indicates that SNA can offer the reliable basis on how to take strong measures to organize the experts, which can improve the expert knowledge map’s structure and the effectiveness of knowledge navigation and sharing.

scholarly journals Using Social Network Analysis to Strengthen Organizational Relationships to Better Serve Expectant and Parenting Young People

2020 ◽  
Vol 24 (S2) ◽  
pp. 232-242 ◽  
Author(s):  
Amanda Purington ◽  
Erica Stupp ◽  
Dora Welker ◽  
Jane Powers ◽  
Mousumi Banikya-Leaseburg
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Young People ◽  
Service Providers ◽  
Lessons Learned ◽  
Local Network ◽  
Analysis Tool ◽  
Survey Analysis ◽  
Young Parents

Abstract Introduction Expectant and parenting young people (young parents) need a range of supports but may have difficulty accessing existing resources. An optimally connected network of organizations can help young parents navigate access to available services. Community organizations participating in the Pathways to Success (Pathways) initiative sought to strengthen their network of support for young parents through social network analysis (SNA) undertaken within an action research framework. Method Evaluators and community partners utilized a survey and analysis tool to map and describe the local network of service providers offering resources to young parents. Respondents were asked to characterize their relationship with all other organizations in the network. Following survey analysis, all participants were invited to discuss and interpret the results and plan the next actions to improve the network on behalf of young parents. Results Scores described the diversity of organizations in the network, density of connections across the community, degree to which the network was centralized or decentralized, which organizations were central or outliers, frequency of contact, levels of collaboration, and levels of trust. Findings were interpreted with survey participants and used by Pathways staff for action planning to improve their network. Discussion SNA clarified complex relationships and set service providers on a path toward optimizing their network. The usefulness of SNA to impact and improve a network approach to supporting young parents is discussed, including lessons learned from this project.

Use of Social Network Analysis to Identify Popular Opinion Leaders for a Youth-Led Sexual Violence Prevention Initiative

2021 ◽  
pp. 107780122199490
Author(s):  
Katie M. Edwards ◽  
Victoria L. Banyard ◽  
Emily A. Waterman ◽  
Skyler L. Hopfauf ◽  
Hee-Sung Shin ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Violence Prevention ◽  
Sexual Violence ◽  
Lessons Learned ◽  
Opinion Leaders ◽  
Participation Rates ◽  
Popular Opinion ◽  
Current Article

In the current article, we describe an innovative sexual violence (SV) prevention initiative that used social network analysis to identify youth and adult popular opinion leaders who were subsequently trained in best practices in SV prevention (e.g., bystander intervention) at a kickoff event (i.e., camp) of the initiative. We provide information on recruitment strategies, participation rates and how those rates varied by some demographic factors, reasons for nonattendance, the initial impact of the camp, and lessons learned. Despite challenges with youth and adult engagement, this innovative approach has the potential to transform the way we approach SV prevention among youth.

Exploring government networks through interorganizational relationships: research strategies based on social network analysis (SNA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Diogo Ribeiro da Fonseca
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Public Sector ◽  
Network Analysis ◽  
Theoretical Development ◽  
Research Strategies ◽  
Exchange Relationships ◽  
Content Type ◽  
The Public ◽  
Methodological Guidelines

PurposeThe purpose of this paper is to provide methodological guidelines and examples of how social network analysis (SNA) can be used in public management network research. SNA describes network structures formed by the patterns of relationships between different actors. Exchange relationships between government, market and society, which conceptualize public sector policies and goals, can be analyzed as a means to highlight underlying governance structures, coordination and management mechanisms, organizational capabilities and strategies of government activities.Design/methodology/approachDrawing from key aspects and concepts of network management, structuring, and modes of governance, research strategies are presented for the analysis of public networks through an illustrative study of relational patterns between providers and receivers of training in the public sector.FindingsSNA highlights prevalent modes of organizing – bureaucratic, market or collaborative (networked) – key actors, roles and strategies that influence network structure, and collective and individual results. Network data can provide information on the relationship between context, organizations' roles and characteristics, and the effectiveness of public policies.Practical implicationsInformation regarding patterns of exchange relationships such as services, resources, influence, knowledge and personnel, are relevant for policymaking processes and may subsidize new approaches and policy instruments that seek to optimize, develop and prescribe structural arrangements for better coordination and effective provision of public services.Originality/valueThe paper advances current literature by presenting a general methodological approach to large interorganizational networks, useful for the consistent theoretical development of governance network theory in the public administration field.

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