Social Network Analysis in Egyptology: Benefits, Methods and Limits

This article aims at presenting a methodology for Social Network Analysis (SNA) applied to Egyptology and ancient societies studies, with its benefits and issues. One of the big issues dealing with social relationships in ancient Egypt lies in the use of kinship terminology defining relations outside the family. In that sense, SNA allows researchers to partially set aside links values contrary to traditional genealogical studies, especially for the graphical projection. Thus, biological and social brothers do not have to be distinguished using this method, although this distinction is often impossible to do. It then presents an empirical method developed using this branch of sociology on an Egyptological dataset dating back from the New Kingdom. With the help of centrality measures, SNA enabled attention to be drawn to secondary role characters at the first sight of the hieroglyphic documentation. However, studying such a type of documentation requires a cautious approach, especially regarding the nature and aim of the sources available.

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Visualization of clinical teaching citations using social network analysis

BMC Medical Education ◽

10.1186/s12909-021-02643-6 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Hakimeh Hazrati ◽

Shoaleh Bigdeli ◽

Seyed Kamran Soltani Arabshahi ◽

Vahideh Zarea Gavgani ◽

Nafiseh Vahed

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Research Collaboration ◽

Clinical Teaching ◽

Clustering Coefficient ◽

Knowledge Network ◽

Research Network ◽

Centrality Measures ◽

The Usa

Abstract Background Analyzing the previous research literature in the field of clinical teaching has potential to show the trend and future direction of this field. This study aimed to visualize the co-authorship networks and scientific map of research outputs of clinical teaching and medical education by Social Network Analysis (SNA). Methods We Identified 1229 publications on clinical teaching through a systematic search strategy in the Scopus (Elsevier), Web of Science (Clarivate Analytics) and Medline (NCBI/NLM) through PubMed from the year 1980 to 2018.The Ravar PreMap, Netdraw, UCINet and VOSviewer software were used for data visualization and analysis. Results Based on the findings of study the network of clinical teaching was weak in term of cohesion and the density in the co-authorship networks of authors (clustering coefficient (CC): 0.749, density: 0.0238) and collaboration of countries (CC: 0.655, density: 0.176). In regard to centrality measures; the most influential authors in the co-authorship network was Rosenbaum ME, from the USA (0.048). More, the USA, the UK, Canada, Australia and the Netherlands have central role in collaboration countries network and has the vertex co-authorship with other that participated in publishing articles in clinical teaching. Analysis of background and affiliation of authors showed that co-authorship between clinical researchers in medicine filed is weak. Nineteen subject clusters were identified in the clinical teaching research network, seven of which were related to the expected competencies of clinical teaching and three related to clinical teaching skills. Conclusions In order to improve the cohesion of the authorship network of clinical teaching, it is essential to improve research collaboration and co-authorship between new researchers and those who have better closeness or geodisk path with others, especially those with the clinical background. To reach to a dense and powerful topology in the knowledge network of this field encouraging policies to be made for international and national collaboration between clinicians and clinical teaching specialists. In addition, humanitarian and clinical reasoning need to be considered in clinical teaching as of new direction in the field from thematic aspects.

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A case study of university student networks and the COVID-19 pandemic using a social network analysis approach in halls of residence

Scientific Reports ◽

10.1038/s41598-021-94383-2 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

José Alberto Benítez-Andrades ◽

Tania Fernández-Villa ◽

Carmen Benavides ◽

Andrea Gayubo-Serrenes ◽

Vicente Martín ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

University Students ◽

Methodological Approach ◽

Centrality Measures ◽

Structural Behaviour ◽

Cross Sectional ◽

Depth Analysis ◽

The University

AbstractThe COVID-19 pandemic has meant that young university students have had to adapt their learning and have a reduced relational context. Adversity contexts build models of human behaviour based on relationships. However, there is a lack of studies that analyse the behaviour of university students based on their social structure in the context of a pandemic. This information could be useful in making decisions on how to plan collective responses to adversities. The Social Network Analysis (SNA) method has been chosen to address this structural perspective. The aim of our research is to describe the structural behaviour of students in university residences during the COVID-19 pandemic with a more in-depth analysis of student leaders. A descriptive cross-sectional study was carried out at one Spanish Public University, León, from 23th October 2020 to 20th November 2020. The participation was of 93 students, from four halls of residence. The data were collected from a database created specifically at the university to "track" contacts in the COVID-19 pandemic, SiVeUle. We applied the SNA for the analysis of the data. The leadership on the university residence was measured using centrality measures. The top leaders were analyzed using the Egonetwork and an assessment of the key players. Students with higher social reputations experience higher levels of pandemic contagion in relation to COVID-19 infection. The results were statistically significant between the centrality in the network and the results of the COVID-19 infection. The most leading students showed a high degree of Betweenness, and three students had the key player structure in the network. Networking behaviour of university students in halls of residence could be related to contagion in the COVID-19 pandemic. This could be described on the basis of aspects of similarities between students, and even leaders connecting the cohabitation sub-networks. In this context, Social Network Analysis could be considered as a methodological approach for future network studies in health emergency contexts.

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Social network analysis applications in sustainable construction and built environment management: a review

Built Environment Project and Asset Management ◽

10.1108/bepam-03-2020-0047 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Nandun Madhusanka Hewa Welege ◽

Wei Pan ◽

Mohan Kumaraswamy

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Built Environment ◽

Methodological Approach ◽

Relevant Literature ◽

Sustainable Construction ◽

Centrality Measures ◽

Environment Management ◽

Content Type

PurposeApplications of social network analysis (SNA) are evidently popular amongst scholars for mapping stakeholder and other relational networks in improving the sustainability of construction activities and the resulting built environment. Nevertheless, the literature reveals a lack of thorough understanding of optimal SNA applications in this field. Therefore, this paper aims to convey a comprehensive critical review of past applications of SNA in this field.Design/methodology/approach95 relevant journal papers were initially identified from the “Web of Science” database and a bibliometric analysis was carried out using the “VOS Viewer” software. The subsequent in-depth review of the SNA methods, focussed on 24 specifically relevant papers selected from these aforesaid 95 papers.FindingsA significant growth of publications in this field was identified after 2014, especially related to topics on stakeholder management. “Journal of Cleaner Production”, “International Journal of Project Management” and “Sustainability” were identified as the most productive sources in this field, with the majority of publications from China. Interviews and questionnaires were the popular data collection methods while SNA “Centrality” measures were utilised in over 70% of the studies. Furthermore, potential areas were noted, to improve the mapping and thereby provide useful information to managers who could influence relevant networks and consequentially better sustainability outcomes, including those enhanced by collaborative networks.Originality/valueCloser collaboration has been found to help enhance sustainability in construction and built environment, hence attracting research interest amongst scholars on how best to enable this. SNA is established as a significant methodological approach to analysing interrelationships and collaborative potential in general. In a pioneering application here, this paper initiates the drawing together of findings from relevant literature to provide useful insights for future researchers to comprehensively identify, compare and contrast the applications of SNA techniques in construction and built environment management from a sustainability viewpoint.

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Social Network Analysis in Marketing

E-Marketing ◽

10.4018/978-1-4666-1598-4.ch012 ◽

2012 ◽

pp. 185-197

Author(s):

Przemyslaw Kazienko ◽

Piotr Doskocz ◽

Tomasz Kajdanowicz

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Relationships ◽

Network Data ◽

Social Network Data ◽

The Social ◽

Targeted Marketing ◽

Potential Customers ◽

Demographic Features

The chapter describes a method how to perform a classification task without any demographic features and based only on the social network data. The concept of such collective classification facilitates to identify potential customers by means of services used or products purchased by the current customers, i.e. classes they belong to as well as using social relationships between the known and potential customers. As a result, a personalized offer can be prepared for the new clients. This innovative marketing method can boost targeted marketing campaigns.

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Web Mining and Social Network Analysis

Data Mining ◽

10.4018/978-1-4666-2455-9.ch016 ◽

2013 ◽

pp. 326-335

Author(s):

Roberto Marmo

Keyword(s):

Social Networks ◽

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Relationships ◽

Web Mining ◽

Social Network Mining ◽

Data Mining Algorithms ◽

Instant Messenger ◽

Mining Algorithms

Research on social networks has advanced significantly due to wide variety of on-line social websites and very popular Web 2.0 application. Social network analysis views social relationships in terms of network and graph theory about nodes (individual actors within the network) and ties (relationships between the actors). Using web mining techniques and social networks analysis it is possible to process and analyze large amount of social data (such as blogtagging, online game playing, instant messenger etc.) and by this to discover valuable information from data. In this way, we can understand the social structure, social relationships and social behaviors. This new approach is also denoted as social network mining. These algorithms differ from established set of data mining algorithms developed to analyze individual records, because social network datasets are called relational due to centrality of relations among entities. This chapter also sets out a process to apply web mining.

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Social Network Analysis in Marketing

Customer Relationship Management and the Social and Semantic Web - Advances in Electronic Commerce ◽

10.4018/978-1-61350-044-6.ch016 ◽

2011 ◽

pp. 271-283

Author(s):

Przemyslaw Kazienko ◽

Piotr Doskocz ◽

Tomasz Kajdanowicz

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Relationships ◽

Network Data ◽

Social Network Data ◽

The Social ◽

Targeted Marketing ◽

Potential Customers ◽

Demographic Features

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Lengthy leader male tenure delays male offspring dispersal in a primate multilevel society

Behaviour ◽

10.1163/1568539x-00003570 ◽

2019 ◽

Vol 156 (13-14) ◽

pp. 1371-1391

Author(s):

Gu Fang ◽

Xiao-Min Gao ◽

Dong Zhang ◽

Derek Dunn ◽

Ruliang Pan ◽

...

Keyword(s):

Social Network ◽

Social Network Analysis ◽

Network Analysis ◽

Social Relationships ◽

Kin Selection ◽

World Monkey ◽

Male Offspring ◽

Monkey Species ◽

Male Dispersal ◽

Multilevel Society

Abstract Natal dispersals are male-biased in most Old World monkey species, especially those that are polygynous. We examined patterns of male dispersal in golden snub-nosed monkeys, in which male offspring mainly disperse as juveniles from their natal one-male units (OMUs) to a bachelor group. However, out of a total of 112 male dispersals from 2001–2016, we documented six cases in which male offspring remained in their natal OMU until sub-adulthood. Based on monitoring of dispersal dynamics, we found that male offspring were more likely to delay dispersal if the tenure of leader males was lengthy. Social network analysis showed male offspring who delayed dispersal exhibited strong social relationships with each other and their OMU leader male but not with the females of their OMU. Our results suggest that the length of leader male tenure may affect natal male dispersal due to benefits to leader males accrued via intrasexual competition and kin selection.

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Linking Quantitative and Qualitative Network Approaches: A Review of Mixed Methods Social Network Analysis in Education Research

Review of Research in Education ◽

10.3102/0091732x20903311 ◽

2020 ◽

Vol 44 (1) ◽

pp. 244-268 ◽

Cited By ~ 2

Author(s):

Dominik E. Froehlich ◽

Sara Van Waes ◽

Hannah Schäfer

Keyword(s):

Education Research ◽

Social Network ◽

Mixed Methods ◽

Social Network Analysis ◽

Network Analysis ◽

Social Relationships ◽

Mixed Methods Research ◽

Qualitative Approaches ◽

Research Questions ◽

Network Approaches

Social network analysis (SNA) is becoming a prevalent method in education research and practice. But criticism has been voiced against the heavy reliance on quantification within SNA. Recent work suggests combining quantitative and qualitative approaches in SNA—mixed methods social network analysis (MMSNA)—as a remedy. MMSNA is helpful for addressing research questions related to the formal or structural side of relationships and networks, but it also attends to more qualitative questions such as the meaning of interactions or the variability of social relationships. In this chapter, we describe how researchers have applied and presented MMSNA in publications from the perspective of general mixed methods research. Based on a systematic review, we summarize the different applications within the field of education and learning research, point to potential shortcomings of the methods and its presentation, and develop an agenda to support researchers in conducting future MMSNA research.

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