Social Networks and Parent Motivational Beliefs

2016 ◽  
Vol 52 (5) ◽  
pp. 841-877 ◽  
Author(s):  
Katherine A. Curry ◽  
Gaëtane Jean-Marie ◽  
Curt M. Adams
Keyword(s):  
Social Network ◽  
Structural Model ◽  
Motivational Beliefs ◽  
Urban District ◽  
School Partnerships ◽  
Role Construction ◽  
Parent Choice ◽  
Social Actors ◽  
Parent Role ◽  
School Outreach

Background: Despite devotion of substantial resources and effort to increase parent/school partnerships, gaps remain between policy rhetoric and practice, especially in high-poverty communities. Current research focuses on parent involvement or effects of parent motivational beliefs on parent choice for behavior; however, it does not address the formation of beliefs or social factors that influence parent motivation to become involved. To gain a better understanding of factors that influence parent motivational beliefs, we examined the effects of parent social network, school outreach, and neighborhood health on parent role construction and parent efficacy in an urban school district. Method/Analysis: Survey data were collected from a random sample of 30 fifth-grade parents from 56 elementary schools in a large urban district in the Midwest. Using a partially latent structural regression model, we tested the relationships between school outreach, neighborhood health, parent social network, and parent motivational beliefs. Findings: The theoretical specification of the hypothesized model was observed in the pattern of the relationships among school outreach, neighborhood health, parent network, and parent motivational beliefs. Results: The results of the structural model confirm the association between parent social network and parent motivational beliefs. Combined parent social network and school outreach accounted for 10% of the variance in parent motivational beliefs. Implications for Research and Practice: Results from this study provide a different lens through which to view parent–school partnerships. Understanding parents as social actors whose perceptions are influenced through connections with other parents can help schools facilitate motivational beliefs that lead to effective partnerships.

Managing celebrity via impression management on social network sites

2016 ◽  
Vol 6 (4) ◽  
pp. 440-459 ◽  
Author(s):  
Kwame J.A. Agyemang ◽  
Antonio S. Williams
Keyword(s):  
Social Network ◽  
Impression Management ◽  
Social Network Sites ◽  
Media Communication ◽  
Content Type ◽  
Business Context ◽  
Social Actors ◽  
Celebrity Status ◽  
Proactive Measures ◽  
Analytic Design

Purpose Central to the celebrity creation process is mass media communication and impression management (IM) behaviors of social actors. The emergence of social network sites (SNSs) such as Twitter offers a platform for social actors to engage both of these means in efforts to manage their celebrity. The purpose of this paper is to contribute to the understanding of how celebrity athletes manage their celebrity status by investigating IM tactics employed by National Basketball Association (NBA) celebrities on Twitter. Design/methodology/approach A content analytic design was employed to examine the Twitter posts of the top ten most popular and influential NBA celebrity athletes (past and present) at the time of tweet acquisition. Findings The findings revealed the celebrity athletes used a variety of IM tactics to manage their celebrity. Defensive IM tactics (i.e. reactive measures taken) were used sparingly when compared to offensive IM tactics (i.e. proactive measures taken). Also, consistent with extant IM literature, the celebrity athletes utilized IM tactics in isolation as well as in combination. Practical implications The extant literature suggests that celebrities cultivate their relationships with the various media outlets with the potential to create (or even damage) one’s celebrity. This study offers celebrity athletes and their managers with useful insight on celebrity management. Originality/value This study is the first to examine IM in a sport business context, particularly the use of IM of athletes on SNSs.

scholarly journals Predicting Facebook Group Relationship

2019 ◽  
Vol 8 (11) ◽  
pp. 1862-1869 ◽  
Keyword(s):  
Social Network ◽  
Social Networking Site ◽  
Weighted Averaging ◽  
Social Actors ◽  
The Social ◽  
Sample Data ◽  
Ordered Weighted Averaging Operator ◽  
Relationship Of ◽  
Hierarchy Process ◽  
Closely Linked Group

Facebook has become the leading social networking site in most countries worldwide. It provides a diverse platform that caters to social, educational and entertainment needs of a user. So, this paper has focused on the Sociocentric Analysis of Facebook. It predicts group relationship of the Facebook social network. The paper proposes to aggregate user’s relationships with similar interests and perspectives on the basis of the way in which they provide a reaction to a post on Facebook. The paper has selected the widely used reactions on Facebook posts. The selected reactions on posts are Like, Laugh, Sad, and Wow. In this, a fuzzy pairwise relation between two users in the social network is obtained. For every pair of social actors or users, we have extracted the total number of Facebook posts to which they have reacted in a particular way over a fortnight. The number for each reaction is multiplied with the corresponding weight of the reaction computed by Analytics Hierarchy Process. This fuzzy pairwise relationship is further employed for finding the closely linked group between users by using Ordered Weighted Averaging operator. The devised algorithm has been applied to a sample data of students connected via Facebook social network. The paper has also given several application areas for the proposed work.

scholarly journals Correlation between Triadic Closure and Homophily Formed over Location-Based Social Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Nauman Ali Khan ◽  
Wuyang Zhou ◽  
Mudassar Ali Khan ◽  
Ahmad Almogren ◽  
Ikram Ud Din
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Research Direction ◽  
Social Actors ◽  
The Social ◽  
Depth Analysis ◽  
Location Based Social Network ◽  
Triadic Closure ◽  
Location Based Social Networks ◽  
The Given

Social Internet of Things (SIoT) is a variation of social networks that adopt the property of peer-to-peer networks, in which connections between the things and social actors are automatically established. SIoT is a part of various organizations that inherit the social interaction, and these organizations include industries, institutions, and other establishments. Triadic closure and homophily are the most commonly used measures to investigate social networks’ formation and nature, where both measures are used exclusively or with statistical models. The triadic closure patterns are mapped for actors’ communication behavior over a location-based social network, affecting the homophily. In this study, we investigate triads emergence in homophilic social networks. This evaluation is based on the empirical review of triads within social networks (SNs) formed on Big Data. We utilized a large location-based dataset for an in-depth analysis, the Chinese telecommunication-based anonymized call detail records (CDRs). Two other openly available datasets, Brightkite and Gowalla, were also studied. We identified and proposed three social triad classes in a homophilic network to feature the correlation between social triads and homophily. The study opened a promising research direction that relates the variation of homophily based on closure triads nature. The homophilic triads are further categorized into transitive and intransitive groups. As our concluding research objective, we examined the relative triadic throughput within a location-based social network for the given datasets. The research study attains significant results highlighting the positive connection between homophily and a specific social triad class.

scholarly journals A Study on the Influence of Consultant Capacity on Consulting Utilization and Social Network: Focused on Moderating Effect of Gender

2020 ◽  
Vol 11 (2) ◽  
pp. 50
Author(s):  
Kun-Myong Kang ◽  
Yen-Yoo You ◽  
Inchae Park
Keyword(s):  
Social Networks ◽  
Factor Analysis ◽  
Social Network ◽  
Gender Gap ◽  
Structural Model ◽  
Descriptive Analysis ◽  
Moderating Effect ◽  
Utilization Rate ◽  
Consulting Services ◽  
Positive Effect

Background/Objectives: This study will identify social networks and consultant capacity concepts to verify that social networks are important factors and study whether consultant capacity and social networks influence consulting use.Methods/Statistical analysis: The subjects of the study can be companies that have consulted consulting services of SMBs, and the samples were analyzed by conducting a questionnaire survey on more than 240 SMBs that have consulted consulting services in Korea. The survey consisted of 30 questions including 10 demographic items, and Likert 5-point scale was used. In the empirical analysis, descriptive analysis, exploratory factor analysis, confirmatory factor analysis, structural model analysis, and adjustment effect test were analyzed by AMOS 22.0 using SPSS 22.0.Findings: Studies have shown that first, the knowledge of consultants was shown to have a positive effect on the social network. Second, the ability of consultants was found to have a positive effect on social networks. Third, the attitude of consultants was found to have a positive effect on social networks. It is analyzed that the attitude of the consultant is expressed in personal feelings and that a strong network can be formed through a sincere attitude. Fourth, social networks have been found to have a positive effect on consultancy utilization. It means that the utilization of consulting can be improved through the formation of an active social network. Fifth, analyzing the differences in the path between the gender, it was found to be affected by the Moderating effect. In the case of men, consultant knowledge and attitudes have derived positive results in social networks and consulting use. And in the case of women, the ability of consultants became more active in consulting with social networks. Therefore, the difference in the effect between male and female was confirmed statistically.Improvements/Applications: In this study, it was confirmed that there was a difference between men and women when the consultant's ability affected the consulting utilization rate. Therefore, it is necessary to conduct a detailed study of measures to supplement the gender gap in the competence of consultants in SMB consulting.

What Will Be Popular Next? Predicting Hotspots in Two-Mode Social Networks

MIS Quarterly ◽  
2021 ◽  
Vol 45 (2) ◽  
pp. 925-966
Author(s):  
Zhepeng (Lionel) Li ◽  
Yong Ge ◽  
Xue Bai
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Optimal Parameter ◽  
Analytical Form ◽  
Superior Performance ◽  
Online Social Networking ◽  
Real World Data ◽  
Social Actors ◽  
Physical Form

In social networks, social foci are physical or virtual entities around which social individuals organize joint activities, for example, places and products (physical form) or opinions and services (virtual form). Forecasting which social foci will diffuse to more social individuals is important for managerial functions such as marketing and public management operations. In terms of diffusive social adoptions, prior studies on user adoptive behavior in social networks have focused on single-item adoption in homogeneous networks. We advance this body of research by modeling scenarios with multi-item adoption and learning the relative propagation of social foci in concurrent social diffusions for online social networking platforms. In particular, we distinguish two types of social nodes in our two-mode social network model: social foci and social actors. Based on social network theories, we identify and operationalize factors that drive social adoption within the two-mode social network. We also capture the interdependencies between social actors and social foci using a bilateral recursive process—specifically, a mutual reinforcement process that converges to an analytical form. Thus, we develop a gradient learning method based on a mutual reinforcement process that targets the optimal parameter configuration for pairwise ranking of social diffusions. Further, we demonstrate analytical properties of the proposed method such as guaranteed convergence and the convergence rate. In the evaluation, we benchmark the proposed method against prevalent methods, and we demonstrate its superior performance using three real-world data sets that cover the adoption of both physical and virtual entities in online social networking platforms.

scholarly journals Where Do Social Ties Come From: Institutional Framework and Governmental Tie Distribution among Chinese Managers

2011 ◽  
Vol 7 (1) ◽  
pp. 97-124 ◽  
Author(s):  
Stan Xiao Li ◽  
Xiaotao Yao ◽  
Christina Sue-Chan ◽  
Youmin Xi
Keyword(s):  
Social Network ◽  
Social Ties ◽  
Institutional Framework ◽  
Social Categories ◽  
Government Officials ◽  
Chinese Firms ◽  
Ego Networks ◽  
Social Actors ◽  
The Relationship ◽  
Ownership Types

This study identifies the societal institutional framework as the cause for the tie distribution issue — the sizes of ego-networks of social actors are unevenly distributed across social categories of these social actors. The analysis of 250 Chinese firms showed that managers employed by state-owned enterprises possess more governmental tie channels – conduits to get acquainted with government officials – than those employed by non-state-owned enterprises. Governmental tie channels completely mediated the relationship between ownership types and the number of government ties in the manager's social network.

scholarly journals Contrast between Spain and the Netherlands in the hidden obstacles to re-entry into the labour market due to a criminal record

2016 ◽  
Vol 14 (5) ◽  
pp. 505-521 ◽  
Author(s):  
Elina Kurtovic ◽  
Marti Rovira
Keyword(s):  
Social Network ◽  
The Netherlands ◽  
Labour Market ◽  
Analytical Framework ◽  
Criminal Record ◽  
Social Actors ◽  
Micro Level ◽  
The Difference ◽  
Individual Choices

This article aims at analysing the differences between European countries in the obstacles ex-offenders face due to having a criminal record. First, a comparative analytical framework is introduced that takes into account all the different elements that can lead to exclusion from the labour market by the dissemination of criminal record information. This model brings together social norms (macro level), social actors (meso level) and individual choices (micro level) in the same framework. Secondly, this model is used to compare the different impact of having a criminal record in Spain and the Netherlands. This comparison highlights three important findings: (1) the difference between norms of transparency/privacy and inclusive/exclusive ideals, (2) the significant role of social control agents, such as probation agencies and the ex-offenders’ social network, in shaping the opportunities that they have, and (3) self-exclusion seems to be a key mechanism for understanding unsuccessful re-entry into the labour market.

Research on k-Anonymity Privacy Protection of Social Network

2014 ◽  
Vol 530-531 ◽  
pp. 701-704 ◽  
Author(s):  
Xiang Min Ren ◽  
Bo Xuan Jia ◽  
Ke Chao Wang ◽  
Jian Cheng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Privacy Protection ◽  
Privacy Preserving ◽  
Social Actors ◽  
Individual Privacy ◽  
Key Points ◽  
Methods And Techniques ◽  
The Difference ◽  
Individual Information

Social network is a collection of interrelated social actors, including individuals, groups, organizations, enterprises, even countries, is playing more and more important role in our life. But there are a lot of individual information in social network, it would violate individual privacy when publishing and analyzing the information. To avoid privacy disclosure and prevent privacy attacks, some k-anonymity privacy protection methods of social network are presented. In this paper, we represent the models of anonymization in social network and its key points, including definition, attack, and usefulness. We compared the difference among the proposed anonymization methods and techniques of privacy preserving in social networks. Finally, potential challenges in social network are proposed.

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