What Can Political Science Learn from Business and Management?

2017 ◽  
Author(s):  
Steven Borgatti
Keyword(s):  
Political Science ◽  
Network Science ◽  
Political Networks ◽  
Science Learn ◽  
Business And Management

This chapter is one of six in this book in which leading scholars from other fields are interviewed about network science. These scholars bring to bear the perspective and experience of their fields, as well as insights about how network science integrates with questions that tend to be of interest to political scientists. They have knowledgeable and unique perspectives on the potential intellectual contributions that political scientists can make using network science approaches. This interview brings perspectives from the field of business and management to the study of political networks. Importantly, Stephen Borgatti has been a leader in the field in terms of developing applications and demonstrating productive application of network tools to questions of relevance. In this interview he brings these insights to political science.

What Can Political Science Learn from Computer Science?

2017 ◽  
Author(s):  
Derek Ruths
Keyword(s):  
Computer Science ◽  
Political Science ◽  
Network Science ◽  
Political Networks ◽  
Science Learn

This chapter is one of six in this book in which a leading scholar from another field is interviewed about network science. These scholars bring to bear the perspective and experience of their fields, as well as insights about how network science integrates with questions that tend to be of interest to political scientists. They have knowledgeable and unique perspectives on the potential intellectual contributions that political scientists can make using network science approaches. In this chapter, Derek Ruths describes how computer science has contributed to, and learned from, applications of political networks emphasizing areas where collaborations between scholars of these fields are likely to be most fruitful.

What Can Political Science Learn from Sociology?

2017 ◽  
Author(s):  
James Moody
Keyword(s):  
Political Science ◽  
Network Science ◽  
Science Learn

This chapter is one of six in this book in which a leading scholar from another field is interviewed about network science. These scholars bring to bear the perspective and experience of their fields, as well as insights about how network science integrates with questions that tend to be of interest to political scientists. They have knowledgeable and unique perspectives on the potential intellectual contributions that political scientists can make using network science approaches.

What Can Political Science Learn from Economics?

2017 ◽  
Author(s):  
Matthew Jackson
Keyword(s):  
Political Science ◽  
Network Science ◽  
Science Learn

This chapter is one of six in this book in which a leading scholar from another field is interviewed about network science. These scholars bring to bear the perspective and experience of their fields, as well as insights about how network science integrates with questions that tend to be of interest to political scientists. They have knowledgeable and unique perspectives on the potential intellectual contributions that political scientists can make using network science approaches.

What Can Political Science Learn from Statistics and Psychology?

2017 ◽  
Author(s):  
Stanley Wasserman
Keyword(s):  
Political Science ◽  
Network Science ◽  
Science Learn

This chapter is one of six in this book in which a leading scholar from another field is interviewed about network science. These scholars bring to bear the perspective and experience of their fields, as well as insights about how network science integrates with questions that tend to be of interest to political scientists. They have knowledgeable and unique perspectives on the potential intellectual contributions that political scientists can make using network science approaches.

What Can Political Science Learn from Mathematics?

2017 ◽  
Author(s):  
Peter Mucha
Keyword(s):  
Political Science ◽  
Network Science ◽  
Science Learn

This chapter is one of six in this book in which a leading scholar from another field is interviewed about network science. These scholars bring to bear the perspective and experience of their fields, as well as insights about how network science integrates with questions that tend to be of interest to political scientists. They have knowledgeable and unique perspectives on the potential intellectual contributions that political scientists can make using network science approaches.

The Oxford Handbook of Political Networks

2016 ◽  
Keyword(s):  
Political Science ◽  
Network Theory ◽  
The State ◽  
Social Worlds ◽  
Political Networks ◽  
Terrorist Networks ◽  
Key Questions ◽  
State Of The Field

This volume is a foundational resource on the study of networks in politics. It is grounded in the understanding that networks are omnipresent in the natural and social worlds, and they are at the heart of politics. The 43 essays in this volume offer instruction on network theory and methods at beginning and advanced levels; they also provide an assessment of the state-of-the-discipline on a variety of applied network topics in politics. Leading scholars in the field address key questions in political science such as: Why do people vote? How can governments foster innovations? How can countries build ties that promote peace? What are the most fruitful strategies for disrupting arms or terrorist networks? In answering these questions, the volume provides both a summary of the state of the field and a roadmap for moving forward.

Introduction

2017 ◽  
Author(s):  
Jennifer Nicoll Victor ◽  
Alexander H. Montgomery ◽  
Mark Lubell
Keyword(s):  
Network Analysis ◽  
Political Science ◽  
Visual Analysis ◽  
Political Networks ◽  
Political Network ◽  
The Future ◽  
History Of ◽  
The Cross ◽  
Insight Into

This volume is meant to be a foundational resource on the study of networks in politics. This introductory chapter sets the stage for the chapters in this volume, which revolve around three central questions: What is political network analysis? How does it provide insight into important political phenomena? Why is it crucial for all political analysts to engage in network analysis? The opening argument is that networks are crucial for the study of politics and can bridge the micro-macro divide. After providing a brief history of the application of networks in political science, this chapter engages in a visual analysis of the development of the literature on political networks. This investigation shows the cross-cutting ties among academic subfields and highlights the central contributions to the literature. It also provides an overview of the chapters and concludes with the editors’ thoughts on the future of political network analysis.

scholarly journals Modern Slavery in Business: The Sad and Sorry State of a Non-Field

2020 ◽  
pp. 000765032093041
Author(s):  
Robert Caruana ◽  
Andrew Crane ◽  
Stefan Gold ◽  
Genevieve LeBaron
Keyword(s):  
Political Science ◽  
Business And Society ◽  
Management Research ◽  
Significant Potential ◽  
Modern Slavery ◽  
Labor Exploitation ◽  
Research Questions ◽  
Business And Management ◽  
Society Research

“Modern slavery,” a term used to describe severe forms of labor exploitation, is beginning to spark growing interest within business and society research. As a novel phenomenon, it offers potential for innovative theoretical and empirical pathways to a range of business and management research questions. And yet, development into what we might call a “field” of modern slavery research in business and management remains significantly, and disappointingly, underdeveloped. To explore this, we elaborate on the developments to date, the potential drawbacks, and the possible future deviations that might evolve within six subdisciplinary areas of business and management. We also examine the value that nonmanagement disciplines can bring to research on modern slavery and business, examining the connections, critiques, and catalysts evident in research from political science, law, and history. These, we suggest, offer significant potential for building toward a more substantial subfield of research.

Network Theory and Political Science

2016 ◽  
Author(s):  
John W. Patty ◽  
Elizabeth Maggie Penn
Keyword(s):  
Political Science ◽  
Network Theory ◽  
Theoretical Basis ◽  
Network Formation ◽  
Future Directions ◽  
Science Models ◽  
Political Networks ◽  
Empirical Measurement ◽  
The Relationship

This chapter considers the role of network theory in the study of political phenomena, the analytical theoretical basis of network analysis as applied in political science. Using the concepts of centrality, community, and connectivity, it discusses the relationship between the primitives of network theory and their relationship to empirical measurement of political networks. The chapter then discusses one of the most active areas of work on network theory in political science, models of network formation, and offers some concluding thoughts about future directions of network theory in political science. We argue that the deeper theorizing about political networks will complement and improve empirical scholarship on the role of networks in politics.

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