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 Multidimensional homophily in friendship networks

2014 ◽  
Vol 2 (2) ◽  
pp. 189-212 ◽  
Author(s):  
PER BLOCK ◽  
THOMAS GRUND
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Social Class ◽  
Network Analysis ◽  
Network Models ◽  
One Dimension ◽  
Friendship Networks ◽  
Friendship Formation ◽  
Multiple Groups ◽  
Main Effects

AbstractHomophily—the tendency for individuals to associate with similar others—is one of the most persistent findings in social network analysis. Its importance is established along the lines of a multitude of sociologically relevant dimensions, e.g. sex, ethnicity and social class. Existing research, however, mostly focuses on one dimension at a time. But people are inherently multidimensional, have many attributes and are members of multiple groups. In this article, we explore such multidimensionality further in the context of network dynamics. Are friendship ties increasingly likely to emerge and persist when individuals have an increasing number of attributes in common? We analyze eleven friendship networks of adolescents, draw on stochastic actor-oriented network models and focus on the interaction of established homophily effects. Our results indicate that main effects for homophily on various dimensions are positive. At the same time, the interaction of these homophily effects is negative. There seems to be a diminishing effect for having more than one attribute in common. We conclude that studies of homophily and friendship formation need to address such multidimensionality further.

Social Network Analysis as a Tool for Understanding the Diffusion of GIS Innovations: The Greek GIS Community

10.1068/b2667 ◽  
2000 ◽  
Vol 27 (4) ◽  
pp. 627-640 ◽  
Author(s):  
Dimitris G Assimakopoulos
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Network Models ◽  
Institutional Setting ◽  
Social Constructs ◽  
Structural Equivalence ◽  
Relevant Social Groups ◽  
Disciplinary Background ◽  
Gis Diffusion

In this paper I will show how social network analysis techniques can be used for understanding GIS diffusion at a national scale. In particular, two network models, cohesion and structural equivalence, are explored in the context of the emerging Greek GIS community. A map of this community based on GIS teams and linkages is put forward, and two social constructs, institutional setting and disciplinary background, are used to highlight the heterogeneous context within which GIS are embedded across a whole country. The findings suggest that specific actors such as the Greek ESRI vendor and relevant social groups such as the teams with a surveying engineering background take centre stage in the diffusion of GIS innovations in Greece in the early 1990s.

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.

scholarly journals Governance for Sustainability: Patterns of Regulation and Self-Regulation in the German Wine Industry

2021 ◽  
Vol 13 (6) ◽  
pp. 3140
Author(s):  
Katharina Spraul ◽  
Annegret Höfert
Keyword(s):  
Social Network ◽  
Mixed Methods ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Crucial Role ◽  
Self Regulation ◽  
Wine Industry ◽  
Structured Interviews ◽  
Complex Interplay ◽  
Sustainable Practices

To foster sustainability pursuits, regulation by state-imposed legislation is often crucial, but self-regulation by corporations, associations, and other non-state actors increasingly exerts pressures and provides incentives for sustainable practices. In order to shed more light on the complex interplay among sustainability regulations and self-regulation, this study focused on a highly regulated field: the German wine industry. Using a social network analysis, this study identified the most central actors (e.g., associations, regulatory institutions) that need to be addressed in order to ensure the enforcement of sustainability. By analyzing 15 semi-structured interviews with the key actors, we outlined their understanding of sustainability, and classified three distinctive governance patterns. These mixed methods and in-depth analyses revealed that self-regulation by associations plays a crucial role in terms of enhancing sustainability, but regulation remains an important trigger in this context. This article concludes with some lessons for regulation and self-regulation policies that can ensure sustainability within an organizational field.

scholarly journals Informatics for COVID-19 in New York and California

2021 ◽  
pp. 1-14
Author(s):  
Seungil Yum
Keyword(s):  
New York ◽  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Communication Networks ◽  
Crucial Role ◽  
Essential Role ◽  
The Us ◽  
Key Players

Abstract Objective: This study explores how social networks for COVID-19 are differentiated by regions. Methods: This study employs social network analysis for Twitter in New York and California. Results: National key players play an important role in New York, while regional key players exert a significant impact on California. Some key players, such as the US president, play an essential role in both New York and California. Hispanic key players play a crucial role in California. Each group is more likely to show communication networks within groups in New York, while it is more apt to exhibit communication networks across groups in California. Government players play a different role in social networks according to regions. Conclusions: Governments should understand how social networks for COVID-19 are differentiated by regions to control the ongoing pandemic effectively.

scholarly journals Sociotechnical Network Analysis for Power Grid Resilience in South Korea

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Daniel A. Eisenberg ◽  
Jeryang Park ◽  
Thomas P. Seager
Keyword(s):  
Decision Making ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Management ◽  
Power Grid ◽  
Network Models ◽  
Unintended Consequences ◽  
Critical Infrastructures ◽  
Smart Systems

International efforts to improve power grid resilience mostly focus on technological solutions to reduce the probability of losses by designing hardened, automated, redundant, and smart systems. However, how well a system recovers from failures depends on policies and protocols for human and organizational coordination that must be considered alongside technological analyses. In this work, we develop a sociotechnical network analysis that considers technological and human systems together to support improved blackout response. We construct corresponding infrastructure and social network models for the Korean power grid and analyze them with betweenness to identify critical infrastructures and emergency management organizations. Power grid network analysis reveals important power companies and emergency management headquarters for responding to infrastructure losses, where social network analysis reveals how information-sharing and decision-making authority shifts among these organizations. We find that separate analyses provide relevant yet incomplete recommendations for improving blackout management protocols. In contrast, combined results recommend explicit ways to improve response by connecting key owner, operator, and emergency management organizations with the Ministry of Trade, Industry, and Energy. Findings demonstrate that both technological and social analyses provide important information for power grid resilience, and their combination is necessary to avoid unintended consequences for future blackout events.

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.

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.

Sign in / Sign up

Export Citation Format

Share Document