The Co-Evolution and Emergence of Integrated International Financial Networks and Social Networks: Theory, Analysis, and Computations

2004 ◽  
Author(s):  
Anna Nagurney ◽  
José M. Cruz ◽  
Tina Wakolbinger
Keyword(s):  
Social Networks ◽  
Financial Networks ◽  
Theory Analysis

Business social networks and academics' entrepreneurial intentions

2014 ◽  
Vol 114 (2) ◽  
pp. 292-320 ◽  
Author(s):  
Virginia Fernández-Pérez ◽  
Patricia Esther Alonso-Galicia ◽  
María del Mar Fuentes-Fuentes ◽  
Lazaro Rodriguez-Ariza
Keyword(s):  
Social Networks ◽  
Structural Equation ◽  
Relevant Information ◽  
Entrepreneurial Intentions ◽  
Financial Networks ◽  
Sample Population ◽  
Research Knowledge ◽  
Psychological Variables ◽  
Content Type

Purpose – This study analyses the role of social networks and their effects on academics' entrepreneurial intentions (AEI), from an academic cognitive perspective. Specifically, the paper investigates how business (distinguishing between industrial and financial links) and personal social networks, through opportunity-relevant information and support, could influence academics' intentions to start a business venture on the basis of their research knowledge. The paper examines the mediator roles of entrepreneurial attitudes (EA) and self-efficacy on opportunity recognition (SOR) as important psychological variables for academics. In the same context, the paper examines the mediator role of gender. Design/methodology/approach – The hypotheses were tested using structural equation modelling analysis, on a sample population of 500 Spanish academics engaged in commercially oriented fields of research. Findings – The results obtained highlight the positive roles played by business (industrial and financial) networks, both directly in promoting AEI, and indirectly via EA and SOR. The paper finds that male and female academics differ in their perceptions of support from business and financial networks and in their use of these resources in business start-up. Practical implications – An understanding of these issues offers opportunities to shape government interventions to assist academic entrepreneurs embarking on a business venture, or those already active in this respect, increasing their effectiveness in building, utilizing and enhancing the quality of networking activities. Originality/value – The paper explores business networking for academics as a factor promoting entrepreneurship. Furthermore, the paper considers an under-researched area that of female entrepreneurship in what is traditionally considered a male-dominated activity.

scholarly journals Network diversity structure, closeness and innovation of South African micro-entrepreneurs

2014 ◽  
Vol 17 (3) ◽  
pp. 349-362 ◽  
Author(s):  
Eliada Wosu Griffin-EL
Keyword(s):  
Social Networks ◽  
Grounded Theory ◽  
South African ◽  
Innovation Process ◽  
Social Institutions ◽  
Theory Analysis ◽  
Network Diversity ◽  
Diversity Structure

This study qualitatively explores the embeddedness of the innovation process of South African microbusinesses by investigating how small local entrepreneurs in the Greater Johannesburg area utilise their social networks to source entrepreneurial value. A comparative grounded theory analysis enabled the original conceptualisation of Network Diversity Structure and formulates the central proposition that the network dimensions of diversity and closeness enable the innovation process among manufacturing microbusinesses more so than in service microbusinesses. Furthermore, the study proposes that both a structural and relational/experiential dimension of closeness, enables micro-entrepreneurs to create meaning and knowledge collaboratively with other entrepreneurs and actors. This socially facilitated process of exchanging ideas, information, and resources is central to the innovation process of firms traditionally limited by both their size and historical social institutions.

scholarly journals Data Mining in Social Networks and its Application in Counterterrorism

2019 ◽  
Vol 8 (3) ◽  
pp. 1278-1284
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Graph Theory ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Theory Analysis ◽  
Graph Theory Analysis ◽  
Insight Into ◽  
Novel Algorithm

Social Networks are best represented as complex interconnected graphs. Graph theory analysis can hence be used for insight into various aspects of these complex social networks. Privacy of such networks lately has been challenged and a detailed analysis of such networks is required. This paper applies key graph theory concepts to analyze such social networks. Moreover, it also discusses applications and proposal of a novel algorithm to analyze and gather key information from terrorist social networks. Investigative Data Mining is used for this which is defined as when Social Network Analysis (SNA) is applied to Terrorist Networks to gather useful insights about the network..

scholarly journals Mobile communication and network privatism: A literature review of the implications for diverse, weak, and new ties

2015 ◽  
Vol 3 ◽  
pp. 1-21
Author(s):  
Scott W. Campbell
Keyword(s):  
Social Networks ◽  
Literature Review ◽  
Empirical Research ◽  
Mobile Communication ◽  
Network Connectivity ◽  
Theory Analysis ◽  
Theoretical Perspectives ◽  
Insight Into

Most of the research on the implications of mobile communication for social networks has focused on its uses and consequences in the intimate realm of close friends, family, and loved ones. A number of scholars have also become interested in ways that mobile communication helps and hinders the broader realm of network connectivity, including diverse, weak, and new ties. A collection of theoretical perspectives on mobile communication and diverse, weak, and new ties proposes that heightened connectivity in the intimate realm can come at the expense of being engaged more broadly – a scenario I characterize as network privatism. At the same time, the available empirical research in the literature tends to tell a different story, or rather stories. This analysis brings theory and empirical findings into closer conversation with one another by reviewing and synthesizing the literature in this area. Observed patterns in the literature offer new insight into questions of mobile communication and network privatism, while also pointing to opportunities for refinement of theory, analysis, and measurement as this line of inquiry further develops.

scholarly journals Evaluating structural edge importance in temporal networks

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Isobel E. Seabrook ◽  
Paolo Barucca ◽  
Fabio Caccioli
Keyword(s):  
Social Networks ◽  
Financial Regulation ◽  
Synthetic Data ◽  
Network Evolution ◽  
Financial Networks ◽  
Model Parameters ◽  
Temporal Networks ◽  
Global Behaviour ◽  
Global Evolution ◽  
Largest Eigenvalues

AbstractTo monitor risk in temporal financial networks, we need to understand how individual behaviours affect the global evolution of networks. Here we define a structural importance metric—which we denote as $l_{e}$ l e —for the edges of a network. The metric is based on perturbing the adjacency matrix and observing the resultant change in its largest eigenvalues. We then propose a model of network evolution where this metric controls the probabilities of subsequent edge changes. We show using synthetic data how the parameters of the model are related to the capability of predicting whether an edge will change from its value of $l_{e}$ l e . We then estimate the model parameters associated with five real financial and social networks, and we study their predictability. These methods have applications in financial regulation whereby it is important to understand how individual changes to financial networks will impact their global behaviour. It also provides fundamental insights into spectral predictability in networks, and it demonstrates how spectral perturbations can be a useful tool in understanding the interplay between micro and macro features of networks.

Multilayer Networks in Nature, Society and Infrastructures

2018 ◽  
Author(s):  
Ginestra Bianconi
Keyword(s):  
Social Networks ◽  
Molecular Networks ◽  
Financial Networks ◽  
Network Medicine ◽  
Multilayer Networks ◽  
Multilayer Network ◽  
Main Research ◽  
Research Questions ◽  
Definition Of ◽  
Climate Networks

Chapter 4 opens Part III of the book, ‘Multilayer Networks’, which comprises chapters 4–15. The chapter starts with an informal definition of multiplex networks, multi-slice networks and networks of networks, and motivates the research interest on multilayer networks by providing a general overview of the multiple applications of the multilayer network framework in different disciplines and contexts, including social networks, complex infrastructures, financial networks, molecular networks and network medicine, brain networks, ecological networks and climate networks. This chapter discusses the major examples of multilayer network datasets studied so far in the different disciplines and highlights the main research questions emerging from the study of these real datasets.

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