scholarly journals Credit Behaviors of Rural Households in the Perspective of Complex Social Networks

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiang Zhao ◽  
Yue Shen ◽  
Chaoqian Li
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Human Behavior ◽  
Positive Impact ◽  
Rural Household ◽  
Opinion Formation ◽  
Informal Credit ◽  
Rural Credit ◽  
Social Network Dynamics ◽  
Household Credit

With the increasing number of social networks emerging and evolving, the influence of social networks on human behavior is now again a subject of discussion in academe. Dynamics in social networks, such as opinion formation and information sharing, are restricting or proliferating members’ behavior on social networks, while new social network dynamics are created by interpersonal contacts and interactions. Based on this and against the backdrop of unfavourable rural credit development, this article uses CHFS data to discuss the whole and heterogeneous impact of social networks on rural household credit behavior. The results show that (1) social networks can effectively promote rural household credit behavior; (2) social networks have a significant positive impact on both formal credit and informal credit, but the influence of the latter is stronger; (3) both emotional networks and instrumental networks have a positive impact on formal credit and informal credit, and their influences are stronger on informal credit; (4) the influence of emotional network is stronger than instrumental networks on either formal credit or informal credit.

Ideology, communication and polarization

2021 ◽  
Vol 376 (1822) ◽  
pp. 20200133
Author(s):  
Yoshihisa Kashima ◽  
Andrew Perfors ◽  
Vanessa Ferdinand ◽  
Elle Pattenden
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Political Discourse ◽  
Network Dynamics ◽  
Political Polarization ◽  
Connectionist Model ◽  
Theme Issue ◽  
Social Network Dynamics ◽  
Dynamic Social Networks ◽  
Echo Chamber

Ideologically committed minds form the basis of political polarization, but ideologically guided communication can further entrench and exacerbate polarization depending on the structures of ideologies and social network dynamics on which cognition and communication operate. Combining a well-established connectionist model of cognition and a well-validated computational model of social influence dynamics on social networks, we develop a new model of ideological cognition and communication on dynamic social networks and explore its implications for ideological political discourse. In particular, we explicitly model ideologically filtered interpretation of social information, ideological commitment to initial opinion, and communication on dynamically evolving social networks, and examine how these factors combine to generate ideologically divergent and polarized political discourse. The results show that ideological interpretation and commitment tend towards polarized discourse. Nonetheless, communication and social network dynamics accelerate and amplify polarization. Furthermore, when agents sever social ties with those that disagree with them (i.e. structure their social networks by homophily), even non-ideological agents may form an echo chamber and form a cluster of opinions that resemble an ideological group. This article is part of the theme issue ‘The political brain: neurocognitive and computational mechanisms’.

scholarly journals tugas review artikel

2019 ◽  
Author(s):  
Arlika Anindya Putri
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Firm Performance ◽  
Positive Impact ◽  
Social Capital Theory ◽  
Capital Theory ◽  
Mediating Role ◽  
The Social

Purpose – The purpose of this study is to develop a structural equation model to explain the complexrelationship between social network and firm performance by introducing the mediating role of trust, sellingcapability and pricing capability.Design/methodology/approach – The research model with hypothesis development was derived basedon the literature. To provide empirical evidence, this study carried out a survey in which the data wereequated with a list of questionnaires with a random survey of 380 small and medium enterprises (SMEs) inthe Indonesian context.Findings – This study indicates that the use of social media in management process will not affect theincreasing firm performance, unless the firms build trust upon social networks. The social network with trustallows the firms to gain a pricing capability and a selling capability, which brings a positive impact on firmperformance. The results also show that the selling and the pricing capabilities become essential following theutilizing the social media, which concerns on trust building.Research limitations/implications – This study focused on the small-to-medium context, which hasconventionally provided an exemplary site for the development of social capital theory but raises issues ofgeneralizability across different contexts.Practical implications – To the managers, it is advisable to encourage their employees to consciouslyexploit the selling capability by enhancing the business networks via social media to achieve the firmperformance.Originality/value – This paper contributes to the social capital theory by explaining the mediating role oftrust in the complex relationship between social network and firm performance. This study provides evidencethat trust plays a pivotal role in social networks, which enable the observed firms to achieve the performance.

Web Service Platforms, Social Networks, and Firms' Innovation Capability: Mediating Effects Model Based on Web Service Platform Synergies

2021 ◽  
Vol 71 (2) ◽  
pp. 188-197
Author(s):  
Xiao Li ◽  
Ying Li ◽  
Weibo Zheng
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Web Service ◽  
Positive Impact ◽  
River Delta ◽  
Wood Product ◽  
Innovation Capability ◽  
Service Platform ◽  
Corporate Innovation ◽  
The Social

Abstract With the rise of new retail concepts, commodity trading has evolved from the traditional supply-to-consumer linear single-track relationship into a brand-new Internet platform-based S2b2c social networking system.1 Despite this, over 90 percent of wood product enterprises have an extremely limited understanding and application of this new kind of web service platform-based marketing systems. To reveal the impact of web service platforms on the growth of wood product enterprises, this study proposes an analytical framework that integrates the web service platform synergy, the social network synergy, and the corporate innovation capability. Using this framework, the effects of social network and web service platform synergies on the corporate innovation capability are analyzed, with a particular focus on exploring the mediating role of web service platform synergy between the social network synergy and the corporate innovation capability. Based on the questionnaire survey data of 489 large, medium, and small-wood product enterprises in the Pearl River Delta and the Yangtze River Delta regions, the following empirical results are derived through a combination of stepwise regression and Sobel test: (1) Web service platform synergy has a significant positive impact on the corporate innovation capability; (2) Social network synergy has a significant positive impact on the corporate innovation capability; (3) Social network synergy has a significant positive impact on the establishment of web service platforms; and (4) Web service platform synergy has a partial intermediary relationship between social network synergy and innovation capability, accounting for 34.05 percent of the total effect. The results of this study indicate that like social networks, web service platforms are the strategic resources of enterprises. In the context of open innovation, it is essential for the wood product enterprises to deeply integrate with the social networks and web service platforms, which helps enhance their innovation capability.

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  

scholarly journals Effects of Social Network on Herder Livestock Production Income and the Mediation by Fund Loans

Agriculture ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 629
Author(s):  
Liqun Shao ◽  
Yimeng Zhou ◽  
Haibin Chen ◽  
Yu Wang
Keyword(s):  
Social Network ◽  
Financial Services ◽  
Positive Impact ◽  
Market Competition ◽  
Livestock Production ◽  
Mediation Effect ◽  
Economic Activities ◽  
Informal Credit ◽  
Qinghai Province ◽  
The Social

Due to its alpine geography and harsh environment, the pastoral region of Qinghai Province is widely recognized as one of China’s concentrated and contiguous poverty-stricken regions, while climate change, market competition and grazing control exert further pressure on the income security of herders. After more than 1000 years of nomadic practice, cooperation and reciprocity have been entrenched in the culture of pastoral ethnic minorities, in which a well-developed social network may play a crucial role in herders’ social and economic activities, including their financial and production behaviors. Based on a questionnaire survey of 278 households in two counties of Qinghai, this study empirically examined the effects of herders’ social network on their livestock production income and the mediation function of fund loans therein. The social network was found to exert a significant positive impact on household income, and loans had a positive mediation effect. By comparison, the mediation effect of formal borrowing channels was statistically significant while that of informal channels was not, which may be attributed to the relative degree of maturity of the two disparate financial markets. It is suggested that a closer and more inclusive social network should be fostered, the quality of bank financial services should be improved, and the regulation on informal credit activities should be reinforced, so as to fully exploit the positive roles of the social network and fund loans for income growth of herder households in vast pastoral areas of China.

scholarly journals Social Bots As an Instrument of Influence in Social Networks: Typologization Problems

2021 ◽  
Author(s):  
V.V. Vasilkova ◽  
N.I. Legostaeva
Keyword(s):  
Social Networks ◽  
Content Analysis ◽  
Social Network ◽  
Human Behavior ◽  
Online Social Network ◽  
Research Trend ◽  
Political News ◽  
The Social ◽  
Different Types ◽  
New Research

Nowadays, in the field of social bots investigations, we can observe a new research trend — a shift from a technology-centered to sociology-centered interpretations. It leads to the creation of new perspectives for sociology: now the phenomenon of social bots is not only considered as one of the efficient manipulative technologies but has a wider meaning: new communicative technologies have an informational impact on the social networks space. The objective of this research is to assess the new approaches of the established social bots typologies (based on the fields of their usage, objectives, degree of human behavior imitation), and also consider the ambiguity and controversy of the use of such typologies using the example of botnets operating in the VKontakte social network. A method of botnet identification is based on comprehensive methodology developed by the authors which includes the frequency analysis of published messages, botnet profiling, statistical analysis of content, analysis of botnet structural organization, division of content into semantic units, forming content clusters, content analysis inside the clusters, identification of extremes — maximum number of unique texts published by botnets in a particular cluster for a certain period. The methodology was applied for the botnet space investigation of Russian online social network VKontakte in February and October 2018. The survey has fixed that among 10 of the most active performing botnets, three botnets were identified that demonstrate the ambiguity and controversy of their typologization according to the following criteria: botnet “Defrauded shareholders of LenSpetsStroy” — according to the field of their usage, botnet “Political news in Russian and Ukrainian languages” — according to their objectives, botnet “Ksenia Sobchak” — according to the level of human behavior imitation. The authors identified the prospects for sociological analysis of different types of bots in a situation of growing accessibility and routinization of bot technologies used in social networks. Keywords: social bots, botnets, classification, VKontakte social network

scholarly journals Detection of Harassment Type of Cyberbullying: A Dictionary of Approach Words and Its Impact

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Syed Mahbub ◽  
Eric Pardede ◽  
A. S. M. Kayes
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Intellectual Development ◽  
Positive Impact ◽  
Real Life ◽  
Machine Learning Algorithms ◽  
Online Bullying ◽  
Predatory Behaviour ◽  
The Difference

The purpose of this paper is to analyse the effects of predatory approach words in the detection of cyberbullying and to propose a mechanism of generating a dictionary of such approach words. The research incorporates analysis of chat logs from convicted felons, to generate a dictionary of sexual approach words. By analysing data across multiple social networks, the study demonstrates the usefulness of such a dictionary of approach words in detection of online predatory behaviour through machine learning algorithms. It also shows the difference between the nature of contents across specific social network platforms. The proposed solution to detect cyberbullying and the domain of approach words are scalable to fit real-life social media, which can have a positive impact on the overall health of online social networks. Different types of cyberbullying have different characteristics. However, existing cyberbullying detection works are not targeted towards any of these specific types. This research is tailored to focus on sexual harassment type of cyberbullying and proposes a novel dictionary of approach words. Since cyberbullying is a growing threat to the mental health and intellectual development of adolescents in the society, models targeted towards the detection of specific type of online bullying or predation should be encouraged among social network researchers.

scholarly journals Teachers' Personal Page in a Social Network as a Tool for Teacher-Student Interaction

2020 ◽  
Vol 29 (12) ◽  
pp. 156-166
Author(s):  
A. G. Kukushkina
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Positive Impact ◽  
Educational Process ◽  
Negative Consequences ◽  
Process Selection ◽  
Teacher Student ◽  
Education Organization ◽  
The Social ◽  
Network Platform

The article presents an analysis of the pedagogical capabilities of social networks in solving modern educational problems. The pedagogical potential of teacher's personal page can influence on individualization of the educational process, selection of the content of education, organization of pedagogical communication, involvement in activities. The author describes and analyzes the experience of interacting with students on the social network platform, which confirms the positive impact of the communication with the teacher through a social network on students' attitude to the subject and educational motivation. The restrictions of the use of teachers' personal pages in the process of education are connected with increased requirements to the content and design of a personal page. Possible negative consequences of interacting with students through social networks include non-compliance with the boundaries and blurring the boundaries of communication, the interpenetration of professional and personal spheres of life.

Networks in the Knowledge Economy

2003 ◽  
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Organizational Performance ◽  
Knowledge Economy ◽  
Positive Impact ◽  
Informal Networks ◽  
Managerial Implications ◽  
Knowledge Intensive

In today's de-layered, knowledge-intensive organizations, most work of importance is heavily reliant on informal networks of employees within organizations. However, most organizations do not know how to effectively analyze this informal structure in ways that can have a positive impact on organizational performance. Networks in the Knowledge Economy is a collection of readings on the application of social network analysis to managerial concerns. Social network analysis (SNA), a set of analytic tools that can be used to map networks of relationships, allows one to conduct very powerful assessments of information sharing within a network with relatively little effort. This approach makes the invisible web of relationships between people visible, helping managers make informed decisions for improving both their own and their group's performance. Networks in the Knowledge Economy is specifically concerned with networks inside of organizations and addresses three critical areas in the study of social networks: Social Networks as Important Individual and Organizational Assets, Social Network Implications for Knowledge Creation and Sharing, and Managerial Implications of Social Networks in Organizations. Professionals and students alike will find this book especially valuable, as it provides readings on the application of social network analysis that reflect managerial concerns.

An Exploratory Analysis Using Co-Authorship Network

2019 ◽  
pp. 166-200
Author(s):  
Burçin Güçlü ◽  
Miguel Ángel Canela ◽  
Inés Alegre
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Organizational Behavior ◽  
Human Behavior ◽  
Online Social Networks ◽  
World Wide ◽  
Academic Research ◽  
E Mail

Social network analysis has been widely used by organizational behavior researchers to stress the importance of the context, social connections, and social structure on human behavior. In the last decade, social network analysis has emerged as one of the most useful techniques for exploring online social networks, world wide web, e-mail traffic, and logistic operations. In this chapter, the authors present an application of social network analysis techniques for academic research. The authors choose Kahneman and Tversky's prospect theory as the focus of their analysis and, based on that, develop a co-authorship structure that depicts in a clear manner the key authors and/or the researchers that dominate and bridge different sub-fields in the field of management. The authors discuss the implications of this study for academic research and management discipline.

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