scholarly journals Multidimensional homophily in friendship networks

2014 ◽  
Vol 2 (2) ◽  
pp. 189-212 ◽  
Author(s):  
PER BLOCK ◽  
THOMAS GRUND

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.

2016 ◽  
Vol 9 (2) ◽  
pp. 218-241 ◽  
Author(s):  
Johann-Mattis List (游函)

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.)


Author(s):  
Christopher M. Wegemer

AbstractScholars acknowledge that friends shape youth civic engagement, but the relative contribution of peer influence and critical beliefs to civic behaviors has yet to be disaggregated. Informed by sociopolitical development and critical consciousness theories, the present study used longitudinal social network analysis to examine peer socialization and adolescents’ awareness of systemic inequities in relation to participation in service and activist activities at a high school serving primarily low-income Latinx youth. Students were surveyed in May 2019 and May 2020 (N = 354; 51% female; in 2019, Mage = 15.9, age range 14.4 to 18.5). The results yielded evidence of peer influence on service activities, but not activism or perceptions of inequities. In contrast, adolescents’ perception of inequities predicted their activist behavior, but not service, after controlling for network effects and individual covariates. The school provided scaffolding for service activities, but not activist activities, potentially explaining the salience of service participation in youth friendship networks.


10.1068/b2667 ◽  
2000 ◽  
Vol 27 (4) ◽  
pp. 627-640 ◽  
Author(s):  
Dimitris G Assimakopoulos

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.


Author(s):  
Cristina Liébana-Presa ◽  
Elena Andina-Díaz ◽  
María-Mercedes Reguera-García ◽  
Iván Fulgueiras-Carril ◽  
David Bermejo-Martínez ◽  
...  

The Social Network Analysis offers a view of social phenomena based on interactions. The aim of this study is to compare social reality through the cohesion variable and analyse its relationship with the resilience of university students. This information is useful to work with the students academically and to optimise the properties of the network that have an influence in academic performance. This is a descriptive transversal study with 90 students from the first and third year of the Nursing Degree. Cohesion variables from the support and friendship networks and the level of resilience were gathered. The UCINET programme was used for network analysis and the SPSS programme for statistical analysis. The students’ friendship and support networks show high intra-classroom cohesion although there are no differences between the support networks and friendship or minimal contact networks in both of the courses used for the study. The network cohesion indicators show less cohesion in the third year. No correlations were found between cohesion and resilience. Resilience does not appear to be an attribute related to cohesion or vice versa.


Addiction ◽  
2010 ◽  
Vol 105 (7) ◽  
pp. 1280-1289 ◽  
Author(s):  
Liesbeth Mercken ◽  
Tom A.B. Snijders ◽  
Christian Steglich ◽  
Erkki Vertiainen ◽  
Hein De Vries

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