Major Knowledge Diffusion Paths of Megaproject Management: A Citation-Based Analysis

2019 ◽  
Vol 51 (3) ◽  
pp. 242-261 ◽  
Author(s):  
Hengqin Wu ◽  
Xiaolong Xue ◽  
Zebin Zhao ◽  
Zeyu Wang ◽  
Geoffrey Qiping Shen ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Quantitative Methods ◽  
Knowledge Diffusion ◽  
Citation Data ◽  
Exciting Opportunity ◽  
Depth Analysis ◽  
Main Path Analysis ◽  
Diffusion Paths

This article integrates social network analysis and main path analysis to investigate progress in megaproject management (MPM) from the perspective of knowledge diffusion. After measuring three major knowledge diffusion paths of MPM, the authors find that MPM is mainly driven by a set of problems and puzzles. The findings provide an exciting opportunity to advance existing understanding of MPM from an alternative angle of knowledge diffusion that considers the underlying associations among publications. Moreover, this article employs quantitative methods to examine citation data of publications, thus providing more unbiased and in-depth analysis to illustrate the development of MPM.

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

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.

scholarly journals Using Network Models to Analyze Old Chinese Rhyme Data (用網絡模型來分析古代漢語的韻母數據)

2016 ◽  
Vol 9 (2) ◽  
pp. 218-241 ◽  
Author(s):  
Johann-Mattis List (游函)
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Strong Evidence ◽  
Crucial Role ◽  
Quantitative Methods ◽  
Network Models ◽  
Online Application ◽  
Historical Phonology ◽  
Old Chinese

The evidence one can draw from the rhyming behavior of Old Chinese words plays a crucial role for the reconstruction of Old Chinese, and is particularly relevant to recent proposals. Some of these proposals are no longer solely based on the intuition of scholars but also substantiated by statistical arguments that help to assess the probability by which a given set of rhyming instances can be assigned to an established rhyme group. So far, however, quantitative methods were only used to confirm given hypotheses regarding rhyme groups in Old Chinese, and no exploratory analyses that would create hypotheses regarding rhyme groups in a corpus were carried out. This paper presents a new method that models rhyme data as weighted undirected networks. By representing rhyme words as nodes in a network and the frequency of rhymes in a given corpus as links between nodes, rhyme groups can be inferred with help of standard algorithms originally designed for social network analysis. This is illustrated through the construction of a rhyme network from the Book of Odes and comparing the automatically inferred rhyme groups with rhyme groups proposed in the literature. Apart from revealing interesting general properties of rhyme networks in Chinese historical phonology, the analysis provides strong evidence for a coda *-r in Old Chinese. The results of the analysis and the rhyme network of the Book of Odes can be inspected in form of an interactive online application or directly downloaded. 古代漢語的詞語所反映的韻為對上古音系的構擬，特別是對於最近的一些上古漢語構擬系統，異常重要。其中有一些構擬系統不再僅僅靠於學者的直覺，而且還用統計參數證實來評估分韻和派韻的概率。然而，迄今為止，定量方法僅用於確認關於上古韻部的假設，並且沒有進行探索性數據分析來創建初步分韻假設。本文提出了一種將韻母數據模型為加權無向網絡的新方法。此方法將韻母模型為網絡中的頂點，將某個語料庫的合韻率模型為聯頂點的邊緣，用社會網絡分析的標準算法來推斷語料庫所反映的韻母。為了更具體的說明此方法，本文用“詩經”來構建韻母網絡，而且比較自動與學者所推斷的上古韻部。除了揭示古代漢語韻網的一些有趣特點，“詩經”韻網分析了支持上古漢語韻尾* -r的新證據。“詩經”韻網和韻網分析的結果可以用交際在線應用來訪問而下載。(This article is in English.)

scholarly journals Social Network Analysis: #BlackLivesMatter Distribution at Actor Level and System Level

2021 ◽  
Vol 6 (2) ◽  
pp. 275-283
Author(s):  
Edy Prihantoro ◽  
Rizky Wulan Ramadhani
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Quantitative Methods ◽  
Closeness Centrality ◽  
System Level ◽  
Eigenvector Centrality ◽  
Black Lives Matter ◽  
A Value ◽  
Twitter Users

#BlackLivesMatter accompanies several cases of discrimination against the black community. The hashtag was spread by actors who have great influences on Twitter users. The actors create communication network which connected to each other to form opinions about the Black Lives Matter movement. Researchers conducted a study to determine the distribution of #BlackLivesMatter at the actor level for the period 20-27 April 2021 in Twitter. The study used quantitative methods and a positivistic paradigm with a Social Network Analysis (SNA) approach. The results show that the actor with the highest degree of centrality is @jeanmessiha with 238 interactions, the actor with the highest betweenness centrality is @helloagain0611 with a value of 0.000049, the actor with the highest eigenvector centrality is @jeanmessiha with a value of 1 and there are 1,416 actors who have closeness centrality. # BlackLivesMatter has a low diameter value so that it spreads quickly but not too widely, not much reciprocity occurs, not concentrated in one dominant cluster but spread widely in several clusters. The actors play a role in spreading diverse opinions regarding Black Lives Matter, thus creating free discussion in several clusters on Twitter. Opinion widely spread on Twitter creates public opinion regarding the Black Lives Matter movement.

A Methodological Approach for Blended Communities

2011 ◽  
pp. 103-121 ◽  
Author(s):  
Susan Annese ◽  
Marta Traetta
Keyword(s):  
Content Analysis ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Quantitative Methods ◽  
Qualitative Content Analysis ◽  
Methodological Approach ◽  
Qualitative And Quantitative Methods ◽  
Mixed Approach ◽  
Methodological Reflection

The current diffusion of blended communities, characterized by the integration of online and offline interactions, has made necessary a methodological reflection about the suitable approaches to explore psychosocial dynamics in virtual and real communities. In this chapter we propose a mixed approach that ‘blends’ qualitative and quantitative methods: by combining qualitative content analysis with Social Network Analysis we investigate participation dynamics and by employing this methodological combination in an original way we create an innovative method, called Positioning Network Analysis, to examine identity dynamics. We will describe the characteristics of this methodological device, providing some examples in order to show the manifold use of these original tools.

A Social Network Analysis of the Literature on Management Control

2011 ◽  
Vol 23 (1) ◽  
pp. 259-283 ◽  
Author(s):  
Kenneth J. Euske ◽  
James W. Hesford ◽  
Mary A. Malina
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Social Ties ◽  
Management Control ◽  
Data Availability ◽  
Citation Data ◽  
Diffusion Of Knowledge ◽  
Control Research ◽  
The Impact

ABSTRACT This paper investigates the literature on management control published in accounting and management journals. Social network analysis of citation data from the 25-year period 1981–2005 enables us to examine topics and ties among researchers. Social ties have important consequences for the development of the literature, shaping topics, research methods, and the diffusion of knowledge. We observe minimal communication between the two disciplines, appearing as two distinct communities despite similar interests. This lack of communication includes citations and authoring across the two disciplines. When citations across disciplines occur, it is almost exclusively accounting authors citing management authors, not vice versa. There is virtually no joining of accounting and management scholars within social networks. Within the two broader communities, there also exist smaller research clusters. While we cannot determine the impact this has on our understanding of management control, we discuss possible reasons for this phenomenon and its potential implications for management control research. Data Availability: Data were gathered from publicly available sources.

Reviewing Interorganizational Management Accounting and Control Literature: A New Look

2020 ◽  
pp. 0000-0000 ◽  
Author(s):  
Ariela Caglio ◽  
Angelo Ditillo
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Interdisciplinary Research ◽  
Management Accounting ◽  
Control Problems ◽  
Depth Analysis ◽  
Problems And Solutions ◽  
Interorganizational Management ◽  
And Control

Interorganizational management accounting and control is a complex and fascinating area of research. Many contributions have already been published on this topic, and some assessments have been produced in previous surveys. The objective of this paper is to analyze whether more recent contributions have deepened the understanding of management accounting and control problems and solutions, while also broadening the spectrum of enquiry. A citation analysis through social network analysis (SNA) suggests the need for research leveraged on commonalities to consolidate existing knowledge on the field. In-depth analysis of the contributions shows some progress in highlighting the complexity and evolution of interorganizational control practices, and in responding to some of the existing limitations. However, there is still a lot to do to in terms of investigating areas neglected to date and exploiting opportunities for interdisciplinary research and theory contamination, which may lead to innovation and growing diversity in this field.

scholarly journals Imperial Women and Clerical Exile in Late Antiquity

2019 ◽  
Vol 3 (3) ◽  
pp. 369-412
Author(s):  
Julia Hillner
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Late Antiquity ◽  
Quantitative Methods ◽  
Negative Attitude ◽  
Fifth Century ◽  
Sixth Century ◽  
Late Antique

Late antique clerical exile is traditionally investigated from the perspective of banished cleric or banishing emperor and council. This article investigates the relationships between banished clerics and imperial women. Drawing on data collected by the Migration of Faith: Clerical Exile in Late Antiquity project, as well as quantitative methods such as social network analysis, I discuss how late antique authors exploited these (at times fabricated) relationships for their narrative agendas. Focussing on the case study of imperial women as patrons of banished clerics, I draw three conclusions: First, there was a constantly negative attitude towards involvement of imperial women in clerical exile throughout Late Antiquity. Second, there was, nonetheless, variation in this attitude across time and genres. Negative portrayal of imperial women engaged in cases of clerical exile peaked in the fifth century and in Nicene and Chalcedonian sources. Third, positive portrayal appears only towards the end of the period, and in sixth-century Miaphysite hagiography. I suggest that the identified differences were due to genre, but also responded to real changes in the institutional roles of imperial women over the course of late antiquity.

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