scholarly journals Communicative-compensatory Processes on Social Network

2020 ◽  
Vol 11 (2) ◽  
pp. 58-69
Author(s):  
Tetyana KHRABAN ◽  
◽  
Igor KHRABAN ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Personal Growth ◽  
Quantitative Research ◽  
Defense Mechanism ◽  
Dominant Form ◽  
Online Social Media ◽  
Linguistic Level ◽  
The Individual ◽  
The Right

The aimof the article is to identify the specifics of communicative-compensatory processes on social network. Materials & methods. In order to achievethat objective, the general scientific research methods: analysis, classification, observation, description were used. In addition, as part of an integrated sociolinguistic approach, discourse analysis and a quantitative research method were used. Publications posted in the Ukrainian sector of an American online social media and social networking service Facebook served as an input for the research. Results & discussions. The study identified three modes of communicative-compensatory processes, which are arranged in descending order according to their proportions: 1)communicative-compensatory process characterized by a correlation with the defense mechanism “overcompensation”. During this process personal growth and radical transformations of the whole personality occur on the basis of the dialogical mutual affirmation of “I” and “You”. At the linguistic level, such mode is manifested owing to the use of a preferable image (real or illusory) to affirm one’s strength, significance, value, that is, for self-assertion and rising in status; 2)process characterized by a correlation with the defense mechanism “direct compensation” and which shows itself as adaptive in nature and does not contribute to the personal growth. At the linguistic level such mode is manifested in the individual concentrating on his own interests, feelings and needs and orientation on consumption; 3)process characterized by a correlation with the defense mechanism “illusive overcompensation” and which nature is emotional vampirism. At the linguistic level such mode is manifested in the watching out for another person’s imaginary or real flaws with the purpose of emphasizing and exaggerating. Conclusion. A specific feature of communicative-compensatory processes in social networks is that they mainly act as representations of the compensatory functionof autocommunication. The dominant form of compensatory autocommunication in social networks is an internal monologue. The verbal implementation of communicative-compensatory processes in social networks are: 1)posts in which the protest gains the power of critical confrontation and is a synonym for the right to individual free development; 2)posts aimed at humiliation and criticism; 3)posts containing advice, support, comfort to the troubled “I”.

I ♥ FB

2017 ◽  
Vol 9 (2) ◽  
pp. 46-61 ◽  
Author(s):  
Tom Robinson ◽  
Clark Callahan ◽  
Kristoffer Boyle ◽  
Erica Rivera ◽  
Janice K Cho
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Q Methodology ◽  
Uses And Gratifications ◽  
Online Social Network ◽  
Fourth Quarter ◽  
User Characteristics ◽  
The Individual ◽  
Network Studies

Virtually seductive qualities of identity sharing, content gratification, and ample social atmosphere have made Facebook the most popular social network, boasting 890 million daily users (“Facebook Reports Fourth Quarter,” 2015; Joinson, 2008; Orchard et al., 2014, Reinecke et al., 2014). Online social network studies largely overlook the individual, limiting the understanding of what exactly drives people to use, abuse, even become dependent on sites like Facebook. Based on the theory of uses and gratifications, Q methodology subjectively observes what draws users to Facebook, focusing specifically on Facebook user characteristics. Past studies neglect the existence of three of the four factor groups discovered in this study, making these effectually new discoveries for academia (Alloway, Runac, Quershi, & Kemp, 2014; Cheung, Chieu & Lee, 2011; Sheldon, 2008, Tosun, 2012; Yang & Brown, 2013). These findings increase understanding of online usage, even addiction, and will help cater future social networks to specific users.

Using Virtual Mobility to Alleviate Aspects of Social Exclusion

2005 ◽  
pp. 715-722 ◽  
Author(s):  
Susan Kenyon
Keyword(s):  
Social Network ◽  
Social Exclusion ◽  
Social Participation ◽  
Space And Time ◽  
Virtual Mobility ◽  
The Individual ◽  
The Right ◽  
Network Goods

People’s ability to participate in the activities that are necessary to ensure their economic, political and social participation in the society in which they live is dependent upon the accessibility of the activities. Accessibility has traditionally been perceived as a function of the space, or distance, between the origin of the individual (or community) and the destination of the activity¾the opportunity, service, social network, goods¾alongside the time that it takes to cross this space. Thus, accessibility is dependent upon the individual’s ability to overcome space and time barriers, allowing them to reach the right place or person, at the right time¾and, of course, upon the availability to them of adequate resources to do this (Couclelis, 2000)1.

Network Perspectives on Crime

2017 ◽  
Author(s):  
Jason Gravel ◽  
George E. Tita
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Analysis ◽  
Peer Influence ◽  
Criminal Behavior ◽  
Social Ties ◽  
Organizational Level ◽  
Network Data ◽  
Adult Health ◽  
The Individual

Though often not mentioned by name, the importance of social networks in explaining criminal behavior, delinquency, and patterns has long been recognized in the study of crime. Theories that explain criminal behavior at the individual level being learned through the impacts of peer influences presume that the transmission of ideas and influences flow among social ties (networks) that link individuals. Cultural theories of crime work in the same way. At the community level, delinquency and criminal behavior are born among members of a community or group that adhere to a particular cultural set of norms or beliefs. The concentration of crime in particular geographic areas results when there are insufficient ties among local residents to affect informal social control in the area. Impacted neighborhoods are often described as socially isolated, lacking social ties to institutions of power that provide the investment and services needed in a healthy community. The history of the formation and activities of street gangs is a clear example of how understanding the ties among individuals, and between groups of these individuals, matter in our understanding these phenomena. Comprehending social ties among gangs and gang members and employment of social network analysis (SNA) have become mainstays of local law enforcement efforts to address the issue of gang violence. Much of the early criminological work that implicated social networks but did not explicitly acknowledge a network by name, or did not employ SNA on formal network data, did so because collecting such data is difficult at best and sometimes impossible. Though criminology has been a “late adopter” of SNA, the field is making great strides in this area. The National Longitudinal Study of Adolescent to Adult Health (Add Health) research program has provided a rich set of network data to explore issues of peer influence. Researchers are using carefully collected social network data at the individual and organizational level to better understand the ability of communities to self-regulate delinquency and crime in an area. Arrest data and field identification stops are being used to generate large networks in an effort to understand how one’s position in a larger social structure might be related to an actor’s involvement in future offending or victimization. As the field of criminology continues to adopt a network perspective in the study of crime, it is important to understand the development of social networks within the field. Critically examining the strengths and weaknesses of network data, especially in terms of the process by which data are generated, can lead to better applications of network analysis in the future.

scholarly journals Identifying Social Network Conditions that Facilitate Sedentary Behavior Change: The Benefit of Being a “Bridge” in a Group-based Intervention

2020 ◽  
Vol 17 (12) ◽  
pp. 4197 ◽  
Author(s):  
Sabina B. Gesell ◽  
Kayla de la Haye ◽  
Evan C. Sommer ◽  
Santiago J. Saldana ◽  
Shari L. Barkin ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Behavior Change ◽  
Sedentary Behavior ◽  
Small Group ◽  
Markov Models ◽  
Healthy Lifestyle ◽  
Multilevel Regression ◽  
Using Data ◽  
The Individual

Using data from one of the first trials to try to leverage social networks as a mechanism for obesity intervention, we examined which social network conditions amplified behavior change. Data were collected as part of a community-based healthy lifestyle intervention in Nashville, USA, between June 2014 and July 2017. Adults randomized to the intervention arm were assigned to a small group of 10 participants that met in person for 12 weekly sessions. Intervention small group social networks were measured three times; sedentary behavior was measured by accelerometry at baseline and 12 months. Multivariate hidden Markov models classified people into distinct social network trajectories over time, based on the structure of the emergent network and where the individual was embedded. A multilevel regression analysis assessed the relationship between network trajectory and sedentary behavior (N = 261). Being a person that connected clusters of intervention participants at any point during the intervention predicted an average reduction of 31.3 min/day of sedentary behavior at 12 months, versus being isolated [95% CI: (−61.4, −1.07), p = 0.04]. Certain social network conditions may make it easier to reduce adult sedentary behavior in group-based interventions. While further research will be necessary to establish causality, the implications for intervention design are discussed.

Determinants of user behaviour and recommendation in social networks

2014 ◽  
Vol 114 (9) ◽  
pp. 1477-1498 ◽  
Author(s):  
Rafael Curras-Perez ◽  
Carla Ruiz-Mafe ◽  
Silvia Sanz-Blas
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relations ◽  
Perceived Control ◽  
Structural Equation ◽  
Uses And Gratifications ◽  
Structural Equation Models ◽  
Uses And Gratifications Theory ◽  
Content Type ◽  
The Individual

Purpose – The purpose of this paper is to analyse the determinants of social network use behaviour using Theory of Planned Behaviour (TPB) and Uses and Gratifications Theory. Design/methodology/approach – A quantitative study was carried out with data gathered by personal interview using a structured questionnaire. Relationships proposed in the theoretical model were estimated through structural equation models. In total, 811 users of social networks over 14 and residents in Spain were part of the sample. Findings – Results indicate that use attitude and the subjective norm, both TPB variables, directly and significantly influence social network loyalty. Thus, network loyalty can be achieved if the individual shows a favourable attitude towards use and receives positive feed-back (comments, opinions, etc.) from friends, acquaintances and other individuals in their environment. Perceived control has no influence on social network loyalty. Finally, this research highlights the importance of socialisation and entertainment as antecedents of social network attitude. Research limitations/implications – Social network use has been analysed globally and database includes users with very different profiles (e.g. Facebook and Tuenti) what may skew the results. Practical implications – Individuals access social networks to establish social links with friends/family/acquaintances, seeking entertainment and fun, but they are never used to be fashionable or up-to-date. Given the importance of social relations, companies should motivate participation elements in their social networks profiles. Originality/value – The paper presents a model that explains the formation of loyal social network customers, integrating TPB and Uses and Gratifications Theory to enable understanding of the role of these networks in individuals’ lives.

scholarly journals Offspring social network structure predicts fitness in families

2012 ◽  
Vol 279 (1749) ◽  
pp. 4914-4922 ◽  
Author(s):  
Nick J. Royle ◽  
Thomas W. Pike ◽  
Philipp Heeb ◽  
Heinz Richner ◽  
Mathias Kölliker
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Structure ◽  
Conflicts Of Interest ◽  
Parus Major ◽  
Social Structures ◽  
Emergent Properties ◽  
Social Network Structure ◽  
The Social ◽  
The Individual

Social structures such as families emerge as outcomes of behavioural interactions among individuals, and can evolve over time if families with particular types of social structures tend to leave more individuals in subsequent generations. The social behaviour of interacting individuals is typically analysed as a series of multiple dyadic (pair-wise) interactions, rather than a network of interactions among multiple individuals. However, in species where parents feed dependant young, interactions within families nearly always involve more than two individuals simultaneously. Such social networks of interactions at least partly reflect conflicts of interest over the provision of costly parental investment. Consequently, variation in family network structure reflects variation in how conflicts of interest are resolved among family members. Despite its importance in understanding the evolution of emergent properties of social organization such as family life and cooperation, nothing is currently known about how selection acts on the structure of social networks. Here, we show that the social network structure of broods of begging nestling great tits Parus major predicts fitness in families. Although selection at the level of the individual favours large nestlings, selection at the level of the kin-group primarily favours families that resolve conflicts most effectively.

scholarly journals Standardized Methods of Assessment of Individual’s Social Network in Social Work and Psychological Practice

2015 ◽  
Vol 4 (4) ◽  
pp. 1-11
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Theoretical Analysis ◽  
Social Relations ◽  
Basic Information ◽  
Psychological Practice ◽  
The Social ◽  
The Individual ◽  
And Function ◽  
Theoretical Overview

This article is a theoretical overview of the main standardized techniques for assessment of the social relations of the individual. The study of these techniques allows professionals to get the basic information about the microsocial environment of people. Theoretical analysis shows that the study of the social network of an individual involves the analysis of its structure, composition and function of its components. Described and analyzed the most common techniques for assessment of human social networks - "Name generator", "Drawing a social network", "Inventory of Social Network" (K. Bartholomew), "Social Networks Inventory " (Treadwell T. and co.), "Social Network Index "( L. Berkman, S. Syme), "Social Network List" (B. Hirsch, J. Stokes). Separately, the method of drawing up clients structured diary and method network card are shown.

scholarly journals Identifying Influencers in Social Networks

Entropy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 450 ◽  
Author(s):  
Xinyu Huang ◽  
Dongming Chen ◽  
Dongqi Wang ◽  
Tao Ren
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Daily Life ◽  
Multidisciplinary Research ◽  
Multilayer Network ◽  
Online Social Media ◽  
Huge Data ◽  
Real World Datasets ◽  
Shed Light

Social network analysis is a multidisciplinary research covering informatics, mathematics, sociology, management, psychology, etc. In the last decade, the development of online social media has provided individuals with a fascinating platform of sharing knowledge and interests. The emergence of various social networks has greatly enriched our daily life, and simultaneously, it brings a challenging task to identify influencers among multiple social networks. The key problem lies in the various interactions among individuals and huge data scale. Aiming at solving the problem, this paper employs a general multilayer network model to represent the multiple social networks, and then proposes the node influence indicator merely based on the local neighboring information. Extensive experiments on 21 real-world datasets are conducted to verify the performance of the proposed method, which shows superiority to the competitors. It is of remarkable significance in revealing the evolutions in social networks and we hope this work will shed light for more and more forthcoming researchers to further explore the uncharted part of this promising field.

Working Adults' Buying Intention Through Online Social Network

2021 ◽  
Vol 17 (4) ◽  
pp. 92-116
Author(s):  
Syed Shah Alam ◽  
Chieh-Yu Lin ◽  
Mohd Helmi Ali ◽  
Nor Asiah Omar ◽  
Mohammad Masukujjaman
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Perceived Risk ◽  
Word Of Mouth ◽  
Online Social Network ◽  
Perceived Value ◽  
Online Social Media ◽  
Starting Point

Most businesses have online social media presence; therefore, understanding of working adult's perception on buying through online social networks is vital. The aim of this study is to examine the effect of perceived value, sociability, usability, perceived risk, trust, and e-word-of-mouth on buying intention through online social network sites. The research model for this study was developed based on the literature on information system research. This study adopted convenient sampling of non-probability sampling procedure. Data were collected through self-administered questionnaire, and PLS-based path analysis was used to analyse responses. The findings of the study shows that perceived value, sociability, usability, e-word-of-mouth, attitude, and subjective norm are significant constructs of buying intention through online social networks. This research can serve as a starting point for online shopping research through online social media while encouraging further exploration and integration addition adoption constructs.

scholarly journals Perbedaan Intensitas Komunikasi Melalui Jejaring Sosial antara Tipe Kepribadian Ekstrovert dan Introvert pada Remaja

2013 ◽  
Vol 1 (1) ◽  
Author(s):  
Komang Sri Widiantari ◽  
Yohanes Kartika Herdiyanto
Keyword(s):  
Social Networks ◽  
High School Students ◽  
Social Network ◽  
Quantitative Research ◽  
Negative Impact ◽  
Positive Impact ◽  
Comparative Method ◽  
Sampling Technique ◽  
Analysis Data ◽  
School Students

The progress of information and communication technology influencethe increase of the usage of social network. Social network users are mostly inadult group. The existence of social networks can bring positive impact as well as negative impact to the society especially in adult group. The aim of this research is to find out the difference in communication intensity through social networks between extrovert and introvert types of personality in adolescents.   This research is a quantitative research with comparative method, the sampling technique used in this research is stratified proporsional randomsampling and the population is High School students in Denpasar, with the total respondents 218 student. The analysis data by t-test independent sample, and shown the result that there was a difference in the communication intensity through social network between introvert and extrovert type of personality in adolescents, the extrovert personality had a high level of communication better than introvert personality. The additional analysis, it is stated that there was a relationship between the number of social networks and the intensity of communication on social networks, and there was no difference in the intensity of communication based on gender.   Keywords: Communication intensity, social networks, extrovert,introvert  

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