The risks in the social networks — An exploratory study

Author(s):  
Bogdan Tiganoaia ◽  
Alexandra Cernian ◽  
Andrei Niculescu
2016 ◽  
Vol 35 (1) ◽  
pp. 89-103 ◽  
Author(s):  
Luísa Helena Pinto ◽  
Raquel Campos Araújo

Purpose – The purpose of this paper is to examine the social networks of Portuguese self-initiated expatriates (SIEs), in terms of composition, diversity and roles. Methodology – Semi-structured interviews with several Portuguese SIEs from diverse occupations and who were living and working in different locations were conducted, to explore the composition, diversity and roles performed by their social networks. Findings – The findings indicate that: first, surveyed Portuguese SIEs had both home and host social networks: while home networks fade over time, host networks were mainly work driven; second, most SIEs had an “anchor contact” prior to the relocation, which assisted in the decision to go abroad and the initial settlement; and third, surveyed Portuguese SIEs purposefully sough “fellow nationals” from a similar social status and background to get feedback and emotional support, while deliberately ignored Portuguese diaspora. Originality/value – Following the findings from this exploratory study, several research propositions are outlined highlighting the interactions between SIEs’ social networks at the destination and stereotypes toward their national origin. This study helps understand what shapes the formation of social networks among SIEs.


2006 ◽  
Vol 3 (1) ◽  
pp. 15-25 ◽  
Author(s):  
Jeffrey H. Cohen ◽  
Bernardo Rios ◽  
Lise Byars

Rural Oaxacan migrants are defined as quintessential transnational movers, people who access rich social networks as they move between rural hometowns in southern Mexico and the urban centers of southern California.  The social and cultural ties that characterize Oaxacan movers are critical to successful migrations, lead to jobs and create a sense of belonging and shared identity.  Nevertheless, migration has socio-cultural, economic and psychological costs.  To move the discussion away from a framework that emphasizes the positive transnational qualities of movement we focus on the costs of migration for Oaxacans from the state’s central valleys and Sierra regions.   


1998 ◽  
Vol 79 (2) ◽  
pp. 188-196 ◽  
Author(s):  
Stephen French Gilson ◽  
John C. Bricout ◽  
Frank R. Baskind

Social work literature, research, and practice on disabilities has lagged behind other topical areas dealing with oppressed groups. The social work literature remains “expert focused” and generally fragmented into discussions of specific disabilities or subpopulations. A viable general model that deals with the personal experience of disability is not available. This exploratory study presents a social work literature search and analysis as well as interviews with six individuals with disabilities about their experiences with social workers. Individuals with disabilities assert that they were treated as though they had categorically fewer aspirations, abilities, and perhaps even fundamental rights than did nondisabled people. This study provides a base for follow-up research on models of consumer-focused social work practice in the area of disability.


Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


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