scholarly journals Oral Questions in the European Parliament: A Network Analysis

2019 ◽  
Vol 10 (2) ◽  
pp. 87-113
Author(s):  
Sebastian Jäckle ◽  
Thomas Metz
Keyword(s):  
Social Network ◽  
Network Analysis ◽  
Group Membership ◽  
European Parliament ◽  
Global Network ◽  
Us Congress ◽  
Internal Working ◽  
The Us ◽  
Parliamentary Systems ◽  
Demand Information

Abstract Internal working structures within parliaments are notoriously hard to capture. While analyses based on bill co-sponsorship work for the US Congress, this approach is not feasible in many parliamentary systems. Drawing on data from the European Parliament’s legislative term of 2009–2014 this article shows that parliamentary questions can be another option. Members of the European Parliament may demand information from the Council or the Commission through oral questions. We take advantage of the fact that these questions are signed by their authors and construct a social network of members of the Parliament that support each other’s oral questions. This allows investigating how members and their groups and committees cooperate to control both Council and Commission. Our approach helps to map out the internal structure of the party groups and explore which forces shape the global network. We find that cooperation is mostly driven by party group membership with ALDE, Green/EFA, and GUENGL turning out as the most cohesive groups while SD is internally rather loosely connected. The second strongest clustering characteristic is a legislators’ native country.

Zastosowanie analizy sieci społecznych w badaniach elit parlamentarnych (na przykładzie eurodeputowanych z Polski)

2014 ◽  
pp. 8-24 ◽  
Author(s):  
Piotr Swacha
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
European Parliament ◽  
Political Groups ◽  
Graphical Presentation ◽  
Relational Network

The purpose of this article is to present the possibilities of using social network analysis (SNA) in the study of the European Parliament elite. This study focuses on organisational connections between Polish members of the European Parliament (seventh term). Official organisational relationships of Polish MEPs include common membership in: political groups, authorities of parliamentary committees and delegations, Parliament’s Bureau, Conference of Presidents, Conference of Committee (and Delegation) Chairs. UCInet and Netdraw programmes were used to calculate SNA’s basic measures and to prepare graphical presentation of relational network created by the Polish MEPs. On this basis main characteristics of the network were presented and MEPs who had the best network locations were distinguished.

scholarly journals Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pilar Marqués-Sánchez ◽  
Arrate Pinto-Carral ◽  
Tania Fernández-Villa ◽  
Ana Vázquez-Casares ◽  
Cristina Liébana-Presa ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
University Students ◽  
Global Network ◽  
Case Study Methodology ◽  
And Gender ◽  
The One ◽  
Relationship Structure ◽  
The University

AbstractThe aims: (i) analyze connectivity between subgroups of university students, (ii) assess which bridges of relational contacts are essential for connecting or disconnecting subgroups and (iii) to explore the similarities between the attributes of the subgroup nodes in relation to the pandemic context. During the COVID-19 pandemic, young university students have experienced significant changes in their relationships, especially in the halls of residence. Previous research has shown the importance of relationship structure in contagion processes. However, there is a lack of studies in the university setting, where students live closely together. The case study methodology was applied to carry out a descriptive study. The participation consisted of 43 university students living in the same hall of residence. Social network analysis has been applied for data analysis. Factions and Girvan–Newman algorithms have been applied to detect the existing cohesive subgroups. The UCINET tool was used for the calculation of the SNA measure. A visualization of the global network will be carried out using Gephi software. After applying the Girvan–Newman and Factions, in both cases it was found that the best division into subgroups was the one that divided the network into 4 subgroups. There is high degree of cohesion within the subgroups and a low cohesion between them. The relationship between subgroup membership and gender was significant. The degree of COVID-19 infection is related to the degree of clustering between the students. College students form subgroups in their residence. Social network analysis facilitates an understanding of structural behavior during the pandemic. The study provides evidence on the importance of gender, race and the building where they live in creating network structures that favor, or not, contagion during a pandemic.

Understanding Collective Identity in Virtual Spaces: A Study of the Youth Climate Movement

2021 ◽  
pp. 000276422110562
Author(s):  
Sohana Nasrin ◽  
Dana R. Fisher
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Identity Formation ◽  
Collective Identity ◽  
Collective Identities ◽  
Virtual Spaces ◽  
Collective Narratives ◽  
The Us ◽  
Unique Dataset

How does collective identity form in virtual spaces and what role do hashtags play? This paper takes advantage of a unique dataset that includes surveys from activists who organized the nationally coordinated climate strikes in the US that began in spring 2019 to answer these questions. Building on the research about collective identity formation online and the role that hashtags play, we employ social network analysis to assess how collective identity forms online over three waves of protests. In particular, we analyze how activists involved in the youth climate movement used hashtags to project their collective identities and create collective narratives. Our findings show how hashtags use varied over the period of our study, in some cases indicating the formation of a thin collective identity. They also show that there are patterns in the ways hashtags are employed by activists in the movement that suggest the formation of subaltern narratives among those affiliated with youth-led groups. Our paper concludes by considering how this finding helps us understand collective identity in virtual spaces and the role that hashtags play more specifically within social movements.

Foreign Capital and Economic Growth: A Social Network Analysis, 2001–2017

2021 ◽  
pp. 073112142110351
Author(s):  
Rob Clark ◽  
Jeffrey Kentor
Keyword(s):  
Economic Growth ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Direct Investment ◽  
Fixed Effects ◽  
Foreign Capital ◽  
Global Network ◽  
Data Sets ◽  
The Impact

Foreign direct investment (FDI) holds a substantial and rapidly growing presence across every region of the world. However, our understanding of how foreign capital impacts economic growth in receiving and investing countries remains in question, despite nearly five decades of research. Our study contributes to this long-standing debate by (1) applying social network analysis to the FDI-growth literature, (2) utilizing recently available bilateral data for a global sample of countries during the post-2000 period, and (3) examining the impact of both inward and outward foreign capital on economic growth. While conventional measures of FDI typically focus on investment volume, we argue that the network structure of investment relations may be equally—or more—important. We construct a global network of FDI during the 2001–2017 period, bringing together two data sets: (1) the United Nations Conference on Trade and Development’s Bilateral FDI Statistics, and (2) the International Monetary Fund’s Coordinated Direct Investment Survey. We then calculate network centrality scores that reflect each country’s level of inward and outward embeddedness in the global FDI network. Drawing from a sample of 1,467 observations across 137 countries during the 2001–2017 period, we estimate two-way fixed effects models to examine the effect of FDI centrality on economic growth. Net of other predictors, we find that inward and outward centrality are positively—and independently—associated with growth, while more conventional measures of foreign capital display weaker and inconsistent effects.

scholarly journals Learning and robustness to catch-and-release fishing in a shark social network

2017 ◽  
Vol 13 (3) ◽  
pp. 20160824 ◽  
Author(s):  
Johann Mourier ◽  
Culum Brown ◽  
Serge Planes
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Cohesion ◽  
Network Robustness ◽  
Global Network ◽  
Catch And Release ◽  
Animal Populations ◽  
Capture Recapture ◽  
Node Removal

Individuals can play different roles in maintaining connectivity and social cohesion in animal populations and thereby influence population robustness to perturbations. We performed a social network analysis in a reef shark population to assess the vulnerability of the global network to node removal under different scenarios. We found that the network was generally robust to the removal of nodes with high centrality. The network appeared also highly robust to experimental fishing. Individual shark catchability decreased as a function of experience, as revealed by comparing capture frequency and site presence. Altogether, these features suggest that individuals learnt to avoid capture, which ultimately increased network robustness to experimental catch-and-release. Our results also suggest that some caution must be taken when using capture–recapture models often used to assess population size as assumptions (such as equal probabilities of capture and recapture) may be violated by individual learning to escape recapture.

scholarly journals Global Collaboration in Artificial Intelligence: Bibliometrics and Network Analysis from 1985 to 2019

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Haotian Hu ◽  
Dongbo Wang ◽  
Sanhong Deng
Keyword(s):  
Artificial Intelligence ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
International Collaboration ◽  
Edge Weight ◽  
Global Collaboration ◽  
The Us ◽  
Collaboration Patterns ◽  
The Uk

AbstractPurposeThis study aims to explore the trend and status of international collaboration in the field of artificial intelligence (AI) and to understand the hot topics, core groups, and major collaboration patterns in global AI research.Design/methodology/approachWe selected 38,224 papers in the field of AI from 1985 to 2019 in the core collection database of Web of Science (WoS) and studied international collaboration from the perspectives of authors, institutions, and countries through bibliometric analysis and social network analysis.FindingsThe bibliometric results show that in the field of AI, the number of published papers is increasing every year, and 84.8% of them are cooperative papers. Collaboration with more than three authors, collaboration between two countries and collaboration within institutions are the three main levels of collaboration patterns. Through social network analysis, this study found that the US, the UK, France, and Spain led global collaboration research in the field of AI at the country level, while Vietnam, Saudi Arabia, and United Arab Emirates had a high degree of international participation. Collaboration at the institution level reflects obvious regional and economic characteristics. There are the Developing Countries Institution Collaboration Group led by Iran, China, and Vietnam, as well as the Developed Countries Institution Collaboration Group led by the US, Canada, the UK. Also, the Chinese Academy of Sciences (China) plays an important, pivotal role in connecting the these institutional collaboration groups.Research limitationsFirst, participant contributions in international collaboration may have varied, but in our research they are viewed equally when building collaboration networks. Second, although the edge weight in the collaboration network is considered, it is only used to help reduce the network and does not reflect the strength of collaboration.Practical implicationsThe findings fill the current shortage of research on international collaboration in AI. They will help inform scientists and policy makers about the future of AI research.Originality/valueThis work is the longest to date regarding international collaboration in the field of AI. This research explores the evolution, future trends, and major collaboration patterns of international collaboration in the field of AI over the past 35 years. It also reveals the leading countries, core groups, and characteristics of collaboration in the field of AI.

scholarly journals Shifting Coalitions within the Youth Climate Movement in the US

2021 ◽  
Vol 9 (2) ◽  
pp. 112-123 ◽  
Author(s):  
Dana R. Fisher ◽  
Sohana Nasrin
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Coalition Building ◽  
Climate Politics ◽  
Affiliation Networks ◽  
The Us ◽  
Alliance Building ◽  
Over Time ◽  
Unique Dataset

How has the youth climate movement in the US grown since the Climate Strikes began and in what ways did it change as it grew? This article takes advantage of a unique dataset that includes surveys from activists who organized the nationally coordinated climate strikes in the US that began with Fridays for Future in spring 2019. Building on the research on alliance building and strategic coalitions, this article analyzes how the patterns of participation changed over the period of the study. We employ social network analysis to map the affiliation networks among the organizers of these events to assess the coalitions of groups involved and the shifting organizational landscape. Our analysis does not provide evidence that groups spanned the boundaries across movements, nor does it show that identity plays a role in coalition building in this movement. Instead, by mapping out the coalition of organizations within this movement and how connections among them change over time, we see clear evidence that this youth-led movement was reoriented by adult-led organizations. Our article concludes by considering how these findings suggest the future trajectory of the youth climate movement and its role in a ‘new climate politics’ in America.

Sign in / Sign up

Export Citation Format

Share Document