scholarly journals Research on China’s Green Finance Policies Based on Text Mining

2020 ◽  
Vol 185 ◽  
pp. 02024
Author(s):  
Yuqing Liao ◽  
Jingliang Chen

Based on the green finance policies in China from 2017 to 2019, this paper extracts feature and high-frequency words from policy documents, uses word cloud diagram, co-occurrence matrix and social network analysis techniques to quantitatively analyse the information contained in the green finance policies over the past three years and highlights the hot issues in question, thus providing a multi-layered and wideranging pathway for facilitating the orderly development of green finance industries across China.

Author(s):  
Martin Bouchard ◽  
Aili Malm

This chapter discusses how the development of network analysis techniques has affected research on crime and the practice of crime control over the past two decades. It describes the contributions of network analysis to criminological research, including the new questions that network analysis techniques allowed criminologists to address, the old questions that have been addressed more adequately, and the novel evidence these techniques yielded. The ways in which network analysis been used by the police and other practitioners in their efforts to prevent and control crime is reviewed, as well as the limitations of network data in understanding crime patterns.


2019 ◽  
Vol 8 (1) ◽  
pp. 009
Author(s):  
Carlos G. Figuerola ◽  
Tamar Groves ◽  
Francisco J. Rodríguez

The practice of historical research in recent years has been substantially affected by the emergence of the so-called digital humanities. New computer tools have been appearing, software systems capable of processing vast quantities of information in ways that until recently were inconceivable. Text mining and social network analysis techniques are sophisticated instruments that can help render a more enriching reading of the available data and draw useful conclusions. We reflect on this in the first part of this article, and then apply these tools to a practical case: quantifying and identifying the women who appear in university-related articles in the newspaper El País from its founding until 2011.


Author(s):  
Tom Brughmans ◽  
Anna Collar

As his keynote address to the 1990 Sunbelt Social Networks conference, Mark Granovetter presented a paper entitled ‘The Myth of Social Network Analysis as a Special Method in the Social Sciences’ (Granovetter 1990). In it, he described how the popular social network theory he proposed, ‘The Strength of Weak Ties’ (Granovetter 1973), was like a spectre that haunted his academic career: although he subsequently pursued other research interests, he found that ‘as I got more deeply into any subject, network ideas kept coming in the back door’. He concluded that social network analysis (SNA) is not a ‘special’ method in social science, because ‘no part of social life can be properly analysed without seeing how it is fundamentally embedded in networks of social relations’ (Granovetter 1990: 15). However, he noted that to many, SNA is an alien concept: ‘we need to remember that there are many scholars outside the house of social network analysis who think in a relational way but don’t see the kinship with network methods and ideas’ (Granovetter 1990: 15). This observation echoes the current position of network studies in archaeology and history. Few would argue that relationships between social entities are not important for understanding past social processes. However, more explicit application of network theories and methods is not yet a mainstream part of our disciplines. Although it is the case that some researchers are not aware of the advantages such perspectives might offer, the current ‘niche’ status of network applications in archaeological and historical research relates to a more general misperception: that network concepts and methodologies per se are simply not appropriate for use in research in these disciplines. This volume aims to address both issues: the contributions in this volume demonstrate both the enormous potential of network methodologies, and also—and perhaps more importantly—acknowledge and address a range of perceived problems and reservations relating to the application of network perspectives to the study of the past, thereby encouraging and enabling their wider use in archaeology and history. The full diversity of network perspectives has only been introduced in our disciplines relatively recently.


Target ◽  
2017 ◽  
Vol 29 (1) ◽  
pp. 7-38 ◽  
Author(s):  
Ziyun Xu

As the discipline of Translation and Interpreting Studies (TIS) has continued to expand rapidly over the past twenty years, scientometric research has been applied increasingly often to analyse its trends and patterns. Drawing inspiration from Social Network Analysis (SNA), this study aims to quantify academic research impact and identify patterns of influence at an institutional level in Chinese Interpreting Studies (CIS), by seeking answers to the following questions: Which are the most influential publications? Which institutions carry the most weight? How have their respective levels of influence evolved over time? By analysing a near-exhaustive corpus of 59,303 citations from CIS literature, the study reveals that the majority of influential publications are monographs and theoretical in nature, though many Chinese textbooks on interpreting are also highly influential. It also finds that an institution’s ranking in research productivity does not necessarily translate into high academic influence.


Author(s):  
PUSHPA PUSHPA ◽  
Dr. Shobha G

Social Network Analysis (SNA) is a set of research procedures for identifying group of people who share common structures in systems based on the relations among actors. Grounded in graph and system theories, this approach has proven to be powerful measures for studying networks in various industries like Telecommunication, banking, physics and social world, including on the web. Since Telecommunication industries deals with huge amount of data, manual analysis of data is very difficult. In this paper we explore the Social Network Analysis techniques for Churn Prediction in Telecom data. Typical work on social network analysis includes the construction of multi-relational telecom social network and centrality measures for prediction of churners in telecom social network.


Author(s):  
Eve D. Rosenzweig ◽  
Elliot Bendoly

Our study demonstrates the value of taking a more encompassing and explicit view of competition in manufacturing strategy research. In doing so, we go beyond a dyadic-based approach and investigate the ways in which the degree of competition among firms in a network influences performance. Using social network analysis techniques, we develop a novel measure—which we refer to as competitor infighting—that captures the extent to which a firm's rivals compete amongst themselves. Our results suggest that a firm has a greater, unimpeded opportunity to demonstrate market gains as the degree of competition among its rivals increases, all else equal. In fact, competitor infighting is a better predictor of market performance in our sample than is a simpler, though perhaps more traditional, count of competitors. It serves an important moderating role in the relationship between a firm's operational weaknesses and market performance. As predicted, we find that as competitor infighting increases, the relationship between operational weaknesses and market performance is diminished.


Author(s):  
Eve D. Rosenzweig ◽  
Elliot Bendoly

Our study demonstrates the value of taking a more encompassing and explicit view of competition in manufacturing strategy research. In doing so, we go beyond a dyadic-based approach and investigate the ways in which the degree of competition among firms in a network influences performance. Using social network analysis techniques, we develop a novel measure—which we refer to as competitor infighting—that captures the extent to which a firm's rivals compete amongst themselves. Our results suggest that a firm has a greater, unimpeded opportunity to demonstrate market gains as the degree of competition among its rivals increases, all else equal. In fact, competitor infighting is a better predictor of market performance in our sample than is a simpler, though perhaps more traditional, count of competitors. It serves an important moderating role in the relationship between a firm's operational weaknesses and market performance. As predicted, we find that as competitor infighting increases, the relationship between operational weaknesses and market performance is diminished.


1998 ◽  
Vol 43 (S6) ◽  
pp. 125-144 ◽  
Author(s):  
Charles Wetherell

In the past two decades, social network analysis (SNA) has become a major analytical paradigm in sociology and now occupies a strategic place in disciplinary debates on a wide variety of issues. Historians, however, have been slow to adopt the approach for at least three reasons. First, the conceptual orientation of sociologists practicing historical social network analysis (HSNA) remains unfamiliar to the majority of professional historians. Just when SNA was maturing in the late 1980s and 1990s, the interdisciplinary interest in social science theory among historians, so characteristic of the 1970s and early 1980s, began to wane. The subsequent turn toward post modernist thinking in history left the profession increasingly uninformed about both classical and contemporary social theory. Second, those quantitatively-oriented historians who might be predisposed to use SNA's specialized statistical methods constitute less than a quarter of the profession today, thus the risk of SNA finding its way into mainstream historical scholarship is low to start. Third, SNA's data requirements are formidable. SNA demands evidence of social interaction among all members of a social system for a variety of behaviors, and thus necessitates a broad range of high-quality records for the place, time and activities being studied. Because historians are plagued by an incomplete historical record and imperfect understandings of past social relations, HSNA remains an inherently problematic enterprise. Yet despite conceptual, methodological and evidentiary obstacles, SNA possesses real potential for historical analysis.


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