Small-Screen Social Groups: Soap Operas and Social Networks

2005 ◽  
Vol 3 (1) ◽  
pp. 75-86 ◽  
Author(s):  
Paul Matthews ◽  
Louise Barrett

The article analyzes different approaches to the definition of «social networks» as technological complexes of organization and management of electronic information exchange among the subjects of social relations, united by common interests, information needs and skills. Based on the analysis of the scientific literature the essential characteristics of social networks that affect the formation and development of the adolescent's personality are revealed. Role of social networks at the present stage of development of society, which is manifested in the representation of interests not only of social groups but also of entire social groups, is defined in the article. The negative impact of social networks on the personality of the adolescent, which is manifested in the expansion of adolescents in cyberspace, the desire for independence and adulthood, selfexperimentation, which leads to risky activities both on the Internet and in real life are revealed. Concept of safe behavior in social networks as a set of actions of the individual when using the Internet, helping to meet the needs and at the same time prevent the possibility of causing damage to physical, mental, social well-being and property of man and others is analyzed. The basic rules of safe behavior in social Internet communities are highlighted. The structural components of safe behavior of adolescents in social networks are singled out: cognitive, motivational and actionreflexive; the concept of «professional training of future social professionals for the formation of safe behavior of adolescents in social networks» is revealed. Readiness is revealed as a result of the process of training future social specialists for professional activity on the formation of safe behavior of adolescents in social networks; the author's definition of the concept «readiness of future social professionals to form safe behavior of adolescents in social networks» is given. Components of readiness of future social workers to form safe behavior of teenagers in social networks, such as cognitive, motivational-personal and activity, are described.


2020 ◽  
Author(s):  
Joseph Bayer ◽  
Neil Anthony Lewis ◽  
Jonathan Stahl

Much remains unknown about moment-to-moment social-network cognition — that is, who comes to mind as we go about our day-to-day lives. Responding to this void, we describe the real-time construction of cognitive social networks. First, we outline the types of relational structures that comprise momentary networks, distinguishing the roles of personal relationships, social groups, and mental sets. Second, we discuss the cognitive mechanisms that determine which individuals are activated — and which are neglected — through a dynamic process. Looking forward, we contend that these overlooked mechanisms need to be considered in light of emerging network technologies. Finally, we chart the next steps for understanding social-network cognition across real-world contexts, along with the built-in implications for social resources and intergroup disparities.


2021 ◽  
Vol 7 (Extra-C) ◽  
pp. 48-56
Author(s):  
Elena Eduardovna Alenina ◽  
Sergey Vladimirovich Bolotnikov ◽  
Lyubov Viktorovna Borodacheva ◽  
Viktoriya Leonidovna Grankina ◽  
Dmitri Vladimirovich Redin ◽  
...  

The article is devoted to the consideration and generalization of modern management capabilities and tools of distributed social communities formed based on online resources (social networks) to achieve the set socio-economic management goals. The authors conducted a problem analysis of the identified opportunities for managing specialized social thematic resources in the implementation of joint projects, the formation of social groups based on interests and hobbies, and the promotion of brands and products. The authors identify software tools for managing social network media resources. These tools allow collecting data on consumer interaction (b2c), monitoring thematic information, and attracting a new target audience.


Author(s):  
Gergely Palla ◽  
Tamás Vicsek

The authors’ focus is on the general statistical features of the time evolution of communities (also called as modules, clusters or cohesive groups) in large social networks. These structural sub-units can correspond to highly connected circles of friends, families, or professional cliques, which are subject to constant change due to the intense fluctuations in the activity and communication patterns of people. The communities can grow by recruiting new members, or contract by loosing members; two (or more) groups may merge into a single community, while a large enough social group can split into several smaller ones; new communities are born and old ones may disappear. According to our results, the time evolution of social groups containing only a few members and larger communities, e.g., institutions show significant differences.


Author(s):  
Yi Song ◽  
Xuesong Lu ◽  
Sadegh Nobari ◽  
Stéphane Bressan ◽  
Panagiotis Karras

One is either on Facebook or not. Of course, this assessment is controversial and its rationale arguable. It is nevertheless not far, for many, from the reason behind joining social media and publishing and sharing details of their professional and private lives. Not only the personal details that may be revealed, but also the structure of the networks are sources of invaluable information for any organization wanting to understand and learn about social groups, their dynamics and members. These organizations may or may not be benevolent. It is important to devise, design and evaluate solutions that guarantee some privacy. One approach that reconciles the different stakeholders’ requirement is the publication of a modified graph. The perturbation is hoped to be sufficient to protect members’ privacy while it maintains sufficient utility for analysts wanting to study the social media as a whole. In this paper, the authors try to empirically quantify the inevitable trade-off between utility and privacy. They do so for two state-of-the-art graph anonymization algorithms that protect against most structural attacks, the k-automorphism algorithm and the k-degree anonymity algorithm. The authors measure several metrics for a series of real graphs from various social media before and after their anonymization under various settings.


Entropy ◽  
2020 ◽  
Vol 22 (1) ◽  
pp. 119
Author(s):  
Thanh Trinh ◽  
Dingming Wu ◽  
Joshua Zhexue Huang ◽  
Muhammad Azhar

Event-based social networks (EBSNs) are widely used to create online social groups and organize offline events for users. Activeness and loyalty are crucial characteristics of these online social groups in terms of determining the growth or inactiveness of the social groups in a specific time frame. However, there is less research on these concepts to clarify the existence of groups in event-based social networks. In this paper, we study the problem of group activeness and user loyalty to provide a novel insight into online social networks. First, we analyze the structure of EBSNs and generate features from the crawled datasets. Second, we define the concepts of group activeness and user loyalty based on a series of time windows, and propose a method to measure the group activeness. In this proposed method, we first compute a ratio of a number of events between two consecutive time windows. We then develop an association matrix to assign the activeness label for each group after several consecutive time windows. Similarly, we measure the user loyalty in terms of attended events gathered in time windows and treat loyalty as a contributive feature of the group activeness. Finally, three well-known machine learning techniques are used to verify the activeness label and to generate features for each group. As a consequence, we also find a small group of features that are highly correlated and result in higher accuracy as compared to the whole features.


2018 ◽  
Vol 23 (2) ◽  
pp. 525-552
Author(s):  
Raquel Casesnoves ◽  
Josep-Àngel Mas ◽  
Anna Tudela

Aims and objectives: The main aim of this study is to find out which social and ideological factors determine the maintenance of Catalan language in public contexts, and particularly the relative weight each factor contributes to the choice. The question is which of the socio-demographic and ideological factors determines to a greater extent the use of Catalan. Methodology: Participants completed a survey, which consisted of a sociolinguistic questionnaire and an attitudinal test based on the matched-guise technique. Sociolinguistic inferences concerning the relationship between different factors and language use were made using statistical methods. Data: Six hundred university students from the cities of Valencia, Palma and Barcelona answered the same survey. University students are a very interesting research group, since they are going to become part of the most influential social groups. Findings: Results from the analysis support the importance of social networks in understanding language maintenance, apart from making some differences between the territories clearer: this relative importance of social networks is very high in Valencia and Palma, but not in Barcelona. Originality: This study shows the first comparison between the influence of different kinds of factors in the use of the Catalan language, as well as the comparison between the behaviour of the three major Catalan-speaking cities. Furthermore, the focus on the factors related to university students’ language use is not a much-visited field. Significance and implications: The use of Catalan seems to be naturalized in Barcelona, whereas in Palma and Valencia the use of this language is more ideologized – and minor. The coincidence in the same territory, Catalonia, of the major language use in all situations and the more incisive and inclusive language policy should point out the direction that campaigns to promote Catalan in the other two regions should take.


2006 ◽  
Vol 11 (4) ◽  
pp. 39-52 ◽  
Author(s):  
Christina Prell

Social capital's rise in popularity is a phenomenon many have noted (Kadushin, 2006; Warde and Tampubolon, 2002; Portes, 1998). Although the concept is a relatively old one, it is the works of Bourdieu (1986), Coleman (1988; 1990), and Putnam (1993, 2000) that often get credited for popularizing the concept. These three, while sharing a view that social networks are important for social groups and society, place differing levels of emphasis on the role of networks in building trust or the exchange of various types of resources. In this paper, I briefly revisit these three theorists, and the criticisms each have received, to provide background for discussing recent research on social capital from a social networks approach. The social network approach is then applied to my own case study looking at the relations among not-for-profits, and special attention is given to the unique context of not-for-profits, and how this context might elaborate or challenge current thoughts on social, aka ‘network’ capital. A final discussion is also given to some measurement problems with the network approach to social capital.


Author(s):  
Sam Ford

For decades, fans of U.S. soap operas have formed social networks surrounding their shows, and they did so even before the concept entered the vernacular. Soap fans, who started on a geographically local scale and built their communities through grassroots efforts, have found a variety of venues to connect with one another over the past several decades. This study looks at the pre-Internet development of these social networks to show how that trajectory relates to the current online community of soap opera fans. Although several scholars have studied soap opera fandom, few have taken an historical approach at understanding the trajectory of soap fandom, a view especially necessary in an era where online social networks are at the center of audience studies and where cornerstone U.S. soap operas are struggling to retain relevance and audience. To fill this gap, I argue that understanding fan networks today requires looking back to previous methods of fan networking. Soaps' longevity (the youngest U.S. soap is more than 20 years old) and frequency (all U.S. daytime soaps are daily) make them crucial texts in demonstrating how the roots of fan social networks in a pre-Internet era helped shape that fandom's transition onto the Internet, and they also illustrate the continued evolution of these networks as fans move online.


Author(s):  
A. K. Pavelieva ◽  
◽  
I. V. Sotnichenko ◽  
◽  

The article considers the slang of the fashion industry, systemization of slang units by speakers, as well as the main difficulties in translating English fashion slang into Ukrainian. It turns out that the vocabulary of fashion industry slang is enriched in epoch-making moments, important for the state as a reaction to turning points in history and to the emergence of new social phenomena. The article proves that fashion slang unites a large number of social groups: people working in the fashion industry, who create trends and fashionable novelties; fashion distributors and fashion buyers and even forms a new social group around them ‒ hypebeasts. The authors of the article analyse the slang of the fashion world through the prism of its interdependence and interaction with social networks and the Internet as a communicative space. Such methods of word formation of fashion slang units as metaphorization, word formation, appearance of telescopies have been considered in this scientific article. The presented research paper proposes to classify fashion slang by different groups of people who are somehow related to fashion, and thus cause the emergence of new slang units, forming their own kind of fashion slang, taking into account the peculiarities of their activities. It is emphasized that the basis for the formation of new slang of the fashion industry is the slang of young people mad about fashion, who build their own cult around it. The article also considers the most common ways of translating hypebeasts slang, such as transcoding (mixed and adaptive ones), transcription and transliteration.


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