Visualizing Multiple Levels and Dimensions of Social Network Properties

Author(s):  
Cathleen McGrath ◽  
Jim Blythe ◽  
David Krackhardt
2018 ◽  
Vol 49 (10) ◽  
pp. 1539-1555 ◽  
Author(s):  
Marina M. Doucerain

What factors explain the extent to which members of cultural minorities maintain their heritage cultural engagement? Although this process, called heritage acculturation, has significant implications for adjustment, we know little about its antecedents. The present work sought to address two shortcomings of acculturation research: (a) the need to characterize antecedents of acculturation orientations and (b) the need to consider acculturation as a contextual phenomenon. Some studies have documented associations between acculturation and specific contextual variables (e.g., family socialization), but an important feature of this research was to examine the unique contribution of factors at multiple levels of proximity simultaneously. Specifically, this study considered intraindividual, home, social network, and neighborhood-level contextual correlates of heritage acculturation. The overarching hypothesis tested among multicultural university students in Canada ( n = 271) was that people whose life contexts are more strongly imbued with heritage cultural influences would report greater heritage acculturation. Results fully supported this hypothesis. Greater heritage language competence, “parental” living arrangements, a more extensive heritage social network, and living in an ethnically denser neighborhood were all related to greater heritage cultural maintenance. Further, only heritage network extensiveness was negatively related to mainstream cultural engagement—attesting to the cultural specificity of these associations. These results suggest that none of the four contextual levels considered here was sufficient on its own to understand participants’ heritage acculturation and that we need a holistic view of the person in her or his multiple contexts when studying acculturation.


2018 ◽  
Vol 11 (4) ◽  
pp. 433-446 ◽  
Author(s):  
Fallon R. Mitchell ◽  
Sara Santarossa ◽  
Sarah J. Woodruff

The present study aimed to explore the interactions and influences that occurred on Twitter after Joey Julius’s (NCAA athlete, Penn State Football) and Mike Marjama’s (MLB player, Seattle Mariners) eating-disorder (ED) diagnoses were revealed. Corresponding with the publicizing of each athlete’s ED, all publicly tagged Twitter media using @joey_julius, Joey Julius, @MMarjama, and Mike Marjama were collected using Netlytic software and analyzed. Text analysis revealed that the conversation was supportive and focused on feelings and size. Social network analysis, based on 5 network properties, showed that Joey Julius invoked a larger conversation but that both athletes’ conversations were single sided. Athlete advocacy on social media should be further explored, as it may contribute to changing societal opinion regarding social issues such as EDs.


2021 ◽  
Author(s):  
Cameron Munro

This paper aims to provide a systematic methodological approach for online brand community assessment across multiple social networking platforms. Analysis of influential brands was conducted utilizing a social network analysis (SNA) perspective. Brand communities were scored based on network properties and content analysis. Background research provided a framework of recommended community enablement strategies to determine what type of content and approach is most conducive to brand community proliferation. Based on network analysis and on congruency of following academically suggested community enablement triggers and behavioural dimensions, it was determined that the most effective brand at enabling community across all platforms within the study was Yeti Coolers. Instagram was the focal platform providing engaging content to be shared across networks


2017 ◽  
Vol 29 (3) ◽  
pp. 405-416
Author(s):  
Joo Young Kim ◽  
Young Ook Kim

This study aimed to investigate the association of spatial configuration with social interaction for elderly. A social housing in Seoul was selected for the case study. Using space syntax and social network analysis, the association was examined statistically. This research employed an integration indicator which is most closely related to space use pattern. Questionnaire and interview surveys were conducted to illustrate the pattern of social network. Using the collected data, NetMiner was utilized to conduct a quantitative analysis. Degree, closeness and betweenness indicators were employed to measure relationships in these networks and between individuals. The characteristics of the association established by the statistical analysis between spatial network of housing estate and social network of elderly were discussed. Our results show that spatial network properties can explain characteristics of social network. The accessibility of residential spaces for elderly individuals in social housing apartment complex has an effect on the strength of the social network with neighbours. Also, analysis of the spatial configuration accessibility for the elderly population with integration values has illustrated that the result was opposite to the general theory that ‘the locations with high accessibility could foster more interactions’. Our findings have suggested that we can have a better knowledge to foster more social network among elderly by planning improved spatial network.


Behaviour ◽  
2021 ◽  
pp. 1-18
Author(s):  
Ferenc Jordán ◽  
Bálint Kovács ◽  
Jennifer L. Verdolin

Abstract Increasingly we are discovering that the interactions between individuals within social groups can be quite complex and flexible. Social network analysis offers a toolkit to describe and quantify social structure, the patterns we observe, and evaluate the social and environmental factors that shape group dynamics. Here, we used 14 Gunnison’s prairie dogs networks to evaluate how resource availability and network size influenced four global properties of the networks (centralization, clustering, average path length, small word index). Our results suggest a positive correlation between overall network cohesion and resource availability, such that networks became less centralized and cliquish as biomass/m2 availability decreased. We also discovered that network size modulates the link between social interactions and resource availability and is consistent with a more ‘decentralized’ group. This study highlights the importance of how individuals modify social cohesions and network connectedness as a way to reduce intragroup competition under different ecological conditions.


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