Social network analysis in international business research: An assessment of the current state of play and future research directions

With the ever-increasing acceptance of online social networks (OSNs), a new dimension has evolved for communication amongst humans. OSNs have given us the opportunity to monitor and mine the opinions of a large number of online active populations in real time. Many diverse approaches have been proposed, various datasets have been generated, but there is a need of collective understanding of this area. Researchers are working around the globe to find a pattern to judge the mood of the user; the still serious problem of detection of irony and sarcasm in textual data poses a threat to the accuracy of the techniques evolved till date. This chapter aims to help the reader to think and learn more clearly about the aspects of sentiment analysis, social network analysis, and detection of irony or sarcasm in textual data generated via online social networks. It argues and discusses various techniques and solutions available in literature currently. In the end, the chapter provides some answers to the open-ended question and future research directions related to the analysis of textual data.

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The Bibliometric Analysis of Economics and Business Research Trends in Vietnam

Revista Gestão Inovação e Tecnologias ◽

10.47059/revistageintec.v11i4.2481 ◽

2021 ◽

Vol 11 (4) ◽

pp. 4519-4530

Author(s):

Nguyen Minh Sang

Keyword(s):

Research Trends ◽

Future Research ◽

Business Research ◽

Research Directions ◽

Research Cooperation ◽

Current State ◽

Comprehensive Picture ◽

Future Research Directions ◽

Scopus Database ◽

Productive Authors

The study applies the bibliometrics method to analyze 5,389 publications of research institutions in Vietnam for the economic and business field in the Scopus database. The results of the study provide an overview of publishing trends in the business and economic field in Vietnam such as the most cited articles, the network of these publications, the most productive authors, the most influential journals, the keywords co-occurrence network and the research cooperation between Vietnam and other countries. The purpose of this study is to provide a comprehensive picture of the current state in the field of economics and business research in order to suggest future research directions.

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A Survey on Computational Propaganda Detection

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2020/672 ◽

2020 ◽

Cited By ~ 1

Author(s):

Giovanni Da San Martino ◽

Stefano Cresci ◽

Alberto Barrón-Cedeño ◽

Seunghak Yu ◽

Roberto Di Pietro ◽

...

Keyword(s):

Social Networks ◽

Social Network ◽

Network Analysis ◽

Language Processing ◽

State Of The Art ◽

Future Research ◽

The Internet ◽

Persuasive Messages ◽

Research Directions ◽

Future Research Directions

Propaganda campaigns aim at influencing people's mindset with the purpose of advancing a specific agenda. They exploit the anonymity of the Internet, the micro-profiling ability of social networks, and the ease of automatically creating and managing coordinated networks of accounts, to reach millions of social network users with persuasive messages, specifically targeted to topics each individual user is sensitive to, and ultimately influencing the outcome on a targeted issue. In this survey, we review the state of the art on computational propaganda detection from the perspective of Natural Language Processing and Network Analysis, arguing about the need for combined efforts between these communities. We further discuss current challenges and future research directions.

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Life cycle assessment of carbon capture and storage/utilization: From current state to future research directions and opportunities

International Journal of Greenhouse Gas Control ◽

10.1016/j.ijggc.2021.103309 ◽

2021 ◽

Vol 108 ◽

pp. 103309

Author(s):

Tatiane Tobias da Cruz ◽

José A. Perrella Balestieri ◽

João M. de Toledo Silva ◽

Mateus R.N. Vilanova ◽

Otávio J. Oliveira ◽

...

Keyword(s):

Life Cycle Assessment ◽

Life Cycle ◽

Carbon Capture ◽

Carbon Capture And Storage ◽

Future Research ◽

Research Directions ◽

Current State ◽

Future Research Directions ◽

And Storage

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A Brief Overview of Social Network Analysis and its Current State within Romanian Sociology

International Review of Social Research ◽

10.1515/irsr-2013-0017 ◽

2013 ◽

Vol 3 (3) ◽

pp. 5-11

Author(s):

Marian-Gabriel Hâncean

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

International Relations ◽

Early Spring ◽

Research Topics ◽

Political Sciences ◽

Current State ◽

Wide Range ◽

Network Studies

Abstract The field of social network studies has been growing within the last 40 years, gathering scholars from a wide range of disciplines (biology, chemistry, geography, international relations, mathematics, political sciences, sociology etc.) and covering diverse substantive research topics. Using Google metrics, the scientific production within the field it is shown to follow an ascending trend since the late 60s. Within the Romanian sociology, social network analysis is still in his early spring, network studies being low in number and rather peripheral. This note gives a brief overview of social network analysis and makes some short references to the current state of the network studies within Romanian sociology

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Hotel performance and research streams: a network cluster analysis

International Journal of Contemporary Hospitality Management ◽

10.1108/ijchm-05-2017-0260 ◽

2018 ◽

Vol 32 (2) ◽

pp. 425-462 ◽

Cited By ~ 7

Author(s):

Ruggero Sainaghi ◽

Rodolfo Baggio ◽

Paul Phillips ◽

Aurelio G. Mauri

Keyword(s):

Network Analysis ◽

Future Research ◽

Research Directions ◽

Content Type ◽

Performance Reviews ◽

Network Cluster ◽

Hotel Performance ◽

Network Modules ◽

Future Research Directions ◽

Analytical Research

Purpose This paper aims to provide a review of hotel performance within the hospitality and tourism research domain. The authors use network analysis to examine two research questions. The first relates to ascertaining general trends within the hotel performance literature, and the second focuses on identifying the salient streams and sub-topics. Design/methodology/approach Articles were selected according to three criteria: keywords, journals and year of publication. The analysis embraces 20 years (1996-2015). These choices assure a wide coverage of the literature. Using these three criteria, the sample includes 1,155 papers. For the analysis, the authors created a network of papers designated as nodes, and the citations among the papers as links. A network approach recognizes the internal structure of the network by identifying groups of nodes (papers) that are more densely connected between themselves than to other nodes within the network (modules, clusters or communities). Findings The authors found 761 papers that were “connected” studies within the network. By contrast, 34 per cent of the sample (394 papers) consists of “unconnected” studies. Excluding outliers, the net sample was 734 articles. The authors identify 14 clusters, which they break down into several sub-topics. The authors conclude by providing some conclusions regarding trends and future research directions. With regards to salient topics, cross-citation and network analysis provide a detailed picture of where the literature comes from and where it currently stands. Conclusions are articulated at the theoretical and empirical levels. Originality/value Compared with previous hotel performance reviews, the approach followed by this study enables the discovery of an analytical research map, which is able to identify both clusters and sub-topics populating each segment. Researchers are able to position their work and identify issues that are in growth and decline.

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Nursing Students’ Subjective Happiness: A Social Network Analysis

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182111612 ◽

2021 ◽

Vol 18 (21) ◽

pp. 11612

Author(s):

Eun-Joo Kim ◽

Ji-Young Lim ◽

Geun-Myun Kim ◽

Seong-Kwang Kim

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Nursing Students ◽

Network Analysis ◽

Group Dynamics ◽

Future Research ◽

Subjective Happiness ◽

Cross Sectional Survey ◽

Cross Sectional ◽

High Level

Improving nursing students’ subjective happiness is germane for efficiency in the nursing profession. This study examined the subjective happiness of nursing students by applying social network analysis (SNA) and developing a strategy to improve the subjective happiness of nursing. The study adopted a cross sectional survey to measure subjective happiness and social network of 222 nursing students. The results revealed that the centralization index, which is a measure of intragroup interactions from the perspective of an entire network, was higher in the senior year compared with the junior year. Additionally, the indegree, outdegree, and centrality of the social network of students with a high level of subjective happiness were all found to be high. This result suggests that subjective happiness is not just an individual’s psychological perception, but can also be expressed more deeply depending on the subject’s social relationships. Based on the study’s results, to strengthen self-efficacy and resilience, it is necessary to utilize strategies that activate group dynamics, such as team activities, to improve subjective happiness. The findings can serve as basic data for future research focused on improving nursing students’ subjective happiness by consolidating team-learning social networks through a standardized program approach within a curriculum or extracurricular programs.

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Social Network Analysis Visualization

Advances in Marketing, Customer Relationship Management, and E-Services - Handbook of Research on Integrating Social Media into Strategic Marketing ◽

10.4018/978-1-4666-8353-2.ch015 ◽

2015 ◽

pp. 257-270

Author(s):

Mohana Shanmugam ◽

Yusmadi Yah Jusoh ◽

Rozi Nor Haizan Nor ◽

Marzanah A. Jabar

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Online Social Network ◽

Future Research ◽

Research Gaps ◽

The Social ◽

Network Studies ◽

Academic Study

The social network surge has become a mainstream subject of academic study in a myriad of disciplines. This chapter posits the social network literature by highlighting the terminologies of social networks and details the types of tools and methodologies used in prior studies. The list is supplemented by identifying the research gaps for future research of interest to both academics and practitioners. Additionally, the case of Facebook is used to study the elements of a social network analysis. This chapter also highlights past validated models with regards to social networks which are deemed significant for online social network studies. Furthermore, this chapter seeks to enlighten our knowledge on social network analysis and tap into the social network capabilities.

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