scholarly journals Connected but segregated: social networks in rural villages

2017 ◽  
Vol 6 (5) ◽  
pp. 693-705 ◽  
Author(s):  
Felipe Montes ◽  
Roberto C Jimenez ◽  
Jukka-Pekka Onnela
2021 ◽  
pp. 210-227
Author(s):  
Jordi Arcos-Pumarola ◽  
Marta Conill-Tetuà

Abstract Considering the cultural relevance of ICH and its meanings for communities, and the fact that it is increasingly becoming an asset of destinations in promoting tourism, the use of ICH in social networks must be put in the spotlight to identify best practices of transmitting the meanings of ICH through social networks. An analysis of the use of ICH in the context of social networks will also illuminate which particular tourist image is being transmitted by the various agents and stakeholders that interact with social networks. In this vein, this chapter will present a case study based on the Fête de l'Ours, a celebration performed in three rural villages in the south of France, looking at how it is explained within a particular social network, namely, Instagram. In this way, the case study will aim to: (i) identify the elements of the festivity that are highlighted by locals and visitors in their Fête de l'Ours account on Instagram; and (ii) analyse how locals, visitors and stakeholders explain and share the experience of the festival.


2021 ◽  
pp. 1-15
Author(s):  
Heather Mattie ◽  
Jukka-Pekka Onnela

Abstract With the increasing availability of behavioral data from diverse digital sources, such as social media sites and cell phones, it is now possible to obtain detailed information about the structure, strength, and directionality of social interactions in varied settings. While most metrics of network structure have traditionally been defined for unweighted and undirected networks only, the richness of current network data calls for extending these metrics to weighted and directed networks. One fundamental metric in social networks is edge overlap, the proportion of friends shared by two connected individuals. Here, we extend definitions of edge overlap to weighted and directed networks and present closed-form expressions for the mean and variance of each version for the Erdős–Rényi random graph and its weighted and directed counterparts. We apply these results to social network data collected in rural villages in southern Karnataka, India. We use our analytical results to quantify the extent to which the average overlap of the empirical social network deviates from that of corresponding random graphs and compare the values of overlap across networks. Our novel definitions allow the calculation of edge overlap for more complex networks, and our derivations provide a statistically rigorous way for comparing edge overlap across networks.


Data in Brief ◽  
2016 ◽  
Vol 7 ◽  
pp. 546-550 ◽  
Author(s):  
Hang Xiong ◽  
Puqing Wang ◽  
Yueji Zhu

2002 ◽  
Vol 7 (2) ◽  
pp. 40-55 ◽  
Author(s):  
Kirsty Sherlock

This article asserts that community matters, not least because of the continued importance of community demonstrated by residents of a post-fordist resort town in North Australia. Far from being an outdated concept, confined to stable rural villages, (as often argued in the literature), even this extremely transient population profess a strong desire to find and maintain ‘community’. A sense of community is constructed through narratives of place and lifestyle to create an inclusive collective identity. However, my fieldwork demonstrated that the ideal remains elusive. Access to social networks is unequal and the norms of community fall short of reciprocity or duty, making it a ‘community without obligation’.


Author(s):  
Mark E. Dickison ◽  
Matteo Magnani ◽  
Luca Rossi

2006 ◽  
Vol 27 (2) ◽  
pp. 108-115 ◽  
Author(s):  
Ana-Maria Vranceanu ◽  
Linda C. Gallo ◽  
Laura M. Bogart

The present study investigated whether a social information processing bias contributes to the inverse association between trait hostility and perceived social support. A sample of 104 undergraduates (50 men) completed a measure of hostility and rated videotaped interactions in which a speaker disclosed a problem while a listener reacted ambiguously. Results showed that hostile persons rated listeners as less friendly and socially supportive across six conversations, although the nature of the hostility effect varied by sex, target rated, and manner in which support was assessed. Hostility and target interactively impacted ratings of support and affiliation only for men. At least in part, a social information processing bias could contribute to hostile persons' perceptions of their social networks.


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