scholarly journals Social Network Analysis of the Core Competencies of the Fourth Industrial Revolution on the Newspaper Articles : Focusing on in Engineering Students

2017 ◽  
Vol 20 (5) ◽  
pp. 50-58
Author(s):  
허지숙
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Engineering Students ◽  
Industrial Revolution ◽  
Core Competencies ◽  
The Core ◽  
Fourth Industrial Revolution ◽  
Newspaper Articles

scholarly journals Institutions and Civil Society Relations in Migori County (Kenya): A Social Network Analysis of Weak and Strong Ties

2020 ◽  
Vol 15 (11) ◽  
pp. 1
Author(s):  
Teodora Erika Uberti ◽  
Francesco Salsano
Keyword(s):  
Social Network ◽  
Civil Society ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Policy Networks ◽  
Civil Society Organizations ◽  
Strong Ties ◽  
The Core ◽  
Health And Nutrition ◽  
Core Actor

The goal of this paper is to investigate policy networks in Migori, a small county in the Western part of Kenya, near the border with Tanzania and Victoria Lake. In this study we build a unique network database and we use Social Network Analysis techniques to detect the structural relations among different stakeholders (e.g. institutions and civil society actors) within this county and we focus on different topics (i.e. overall interactions, training and cooperation, and for specific decision making on health and nutrition, and agricultural issues). The main results show the importance to distinguish, in policy networks, the rationale of interactions and their intensity, i.e. weak or strong ties. Institutions and civil society organizations are differently connected according to the functions and intensity of networks in which they operate. For example, for health and nutrition the Ministry is the core actor; the opposite occurs in agriculture, where local communities are the core players; and finally in training and coordination we have an intermediate layout, if compared to the two previous ones.

Spatiotemporal Network Analysis and Visualization

2015 ◽  
Vol 6 (2) ◽  
pp. 77-97 ◽  
Author(s):  
Judith Gelernter ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Third Party ◽  
Analysis Software ◽  
Time Intervals ◽  
External Resources ◽  
Newspaper Articles

Spatiotemporal social network analysis shows relationships among people at a particular time and location. This paper presents an algorithm that mines text for person and location words and creates connections among words. It shows how this algorithm output, when chunked by time intervals, may be visualized by third-party social network analysis software in the form of standard network pin diagrams or geographic maps. Its data sample comes from newspaper articles concerning the 2006 Darfur crisis in Sudan. Given an immense data sample, it would be possible to use the algorithm to detect trends that would predict the next geographic center(s) of influence and types of actors (foreign dignitaries or domestic leaders, for example). This algorithm should be widely generalizable to many text domains as long as the external resources are modified accordingly.

Spatiotemporal Network Analysis and Visualization

2016 ◽  
pp. 373-395
Author(s):  
Judith Gelernter ◽  
Kathleen M. Carley
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Third Party ◽  
Analysis Software ◽  
Time Intervals ◽  
External Resources ◽  
Newspaper Articles

Spatiotemporal social network analysis shows relationships among people at a particular time and location. This paper presents an algorithm that mines text for person and location words and creates connections among words. It shows how this algorithm output, when chunked by time intervals, may be visualized by third-party social network analysis software in the form of standard network pin diagrams or geographic maps. Its data sample comes from newspaper articles concerning the 2006 Darfur crisis in Sudan. Given an immense data sample, it would be possible to use the algorithm to detect trends that would predict the next geographic center(s) of influence and types of actors (foreign dignitaries or domestic leaders, for example). This algorithm should be widely generalizable to many text domains as long as the external resources are modified accordingly.

scholarly journals The Core Drugs Analysis based on Social Network Analysis about Traditional Chinese Medicine Records Semantic Relation

2014 ◽  
Vol 31 ◽  
pp. 328-335 ◽  
Author(s):  
Yuekun Ma ◽  
Dezheng Zhang ◽  
Aziguli Wulamu ◽  
Yonghong Xie ◽  
Honglei Zang ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Chinese Medicine ◽  
Network Analysis ◽  
Traditional Chinese Medicine ◽  
Semantic Relation ◽  
The Core ◽  
Drugs Analysis

scholarly journals Analysis on the Co-authoring in the Field of Management in China: Based on Social Network Analysis

2017 ◽  
Vol 12 (06) ◽  
pp. 149 ◽  
Author(s):  
Chuanyi Wang ◽  
Zhe Cheng ◽  
Zhiwei Huang
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Small Groups ◽  
Information Exchange ◽  
Research Output ◽  
Collaboration Network ◽  
The Core ◽  
Bibliographic Data ◽  
Academic Information

Using bibliographic data extracted from CNKI database, social network analysis is used to generate and analyze the network of co-authors of China in the field of management. This article suggests that: the density of the network is low, which means the collaboration between authors in China is not tight; the relations between the degree centrality and research output are weak. The author who published more papers may not have more co-authors. Through the lens of betweenness centrality, several authors in key positions of network are always dominating the academic information exchange and the small groups of authors have changed from 2006 to 2015. The result of core-periphery analysis reflects that only a very small proportion of scholars are in the core of the network while most are relatively independent. The similarity of working experience, academic authority and geographical closeness are helpful to form and enhance the collaboration network.

scholarly journals Analysis of Social Phenomenon on Tattoo Using Big Data and Social Network Analysis - News texts for the last year as collated -

2021 ◽  
Vol 27 (5) ◽  
pp. 1139-1145
Author(s):  
Ran-Sug Seo
Keyword(s):  
Big Data ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Academic Research ◽  
Eigenvector Centrality ◽  
Social Phenomena ◽  
The Past ◽  
The Social ◽  
Newspaper Articles

The purpose of this study was to identify the social phenomena of tattoo, which have been of constant interest in our society, through analysis of social networks collected from big data on what the social phenomena implied in keywords emphasized in newspaper articles over the past year. To this end, by analyzing keywords about tattoos that frequently appeared in newspaper articles, we could see what the main interests of social phenomena related to tattoos were. Data on tattoos were collected from newspaper articles over the past year and analyzed how they formed meaning regarding the relationship structure and centrality between the keywords at issue through social network analysis. These findings provide basic data on social discussions and policy directions related to tattoos in practice and discussions related to ways to improve them. This study is an extension from existing quantitative research by analyzing the social phenomena of tattoos through Bigdata and social network analysis. Apart from statistical surveys or subjective qualitative research, we have approached them with content analysis using big data and social network analysis. The conclusion of this study is as follows. First, as a result of analyzing the word cloud regarding tattoos, it was confirmed that “rose” and “300” were the most prominent, and there were keywords that could analyze various other social phenomena. Second, as a result of analysis by connection centrality, it was proved that the social interest and popularity of tattoos increased. Third, as a result of analysis by eigenvector centrality, the popularity of tattoos was proved. It objectified academic research by attempting research from a different perspective from the analysis of research trends and provided visualized research results of readers.

scholarly journals The Interaction of Civil Engineering Students in Group Work through the Social Network Analysis

2021 ◽  
Vol 13 (17) ◽  
pp. 9847
Author(s):  
Tito Castillo ◽  
Rodrigo F. Herrera ◽  
Tania Guffante ◽  
Ángel Paredes ◽  
Oscar Paredes
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Group Work ◽  
Construction Projects ◽  
Engineering Students ◽  
Civil Engineering ◽  
Soft Skills ◽  
Informal Conversation ◽  
The Social

A sustainable approach in the construction industry requires civil engineering professionals with technical and soft skills. Those skills complement each other and facilitate the professional to work effectively in multidisciplinary groups during the development of construction projects. Universities apply collaborative learning methods such as group work (GW) in the classroom to achieve these skills. There is disagreement on the best way to select the members of the GW to achieve their best performance, but it is clear that it should favor the interaction of diverse actors to promote the development of soft skills. A random or criteria-based selection could bring groups of people very close together, leading to the academic homogeneity of GW members and impairing performance and learning. Even the most alert instructors lack information about the closeness of their students, so they rely on their intuition without having tools that allow them to confirm their assumptions or relate them to GW performance. The objective of this paper was to discover the social structures within the classrooms and to identify the groups of people close by trust, knowledge, and informal conversation to relate them to their GW performance. For this purpose, a social network analysis (SNA) was applied to Civil Engineering degree students. In addition, a correlation analysis between SNA metrics and GW grades was performed. The results show that beyond the way in which members are selected, there is a social structure that affects such selection and GW performance. This study presents information that can be used for instructors for a better GW selection that propitiates the development of soft skills in Civil Engineering students.

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