Diffusion on social networks: Survey data from rural villages in central China

Abstract Considering the cultural relevance of ICH and its meanings for communities, and the fact that it is increasingly becoming an asset of destinations in promoting tourism, the use of ICH in social networks must be put in the spotlight to identify best practices of transmitting the meanings of ICH through social networks. An analysis of the use of ICH in the context of social networks will also illuminate which particular tourist image is being transmitted by the various agents and stakeholders that interact with social networks. In this vein, this chapter will present a case study based on the Fête de l'Ours, a celebration performed in three rural villages in the south of France, looking at how it is explained within a particular social network, namely, Instagram. In this way, the case study will aim to: (i) identify the elements of the festivity that are highlighted by locals and visitors in their Fête de l'Ours account on Instagram; and (ii) analyse how locals, visitors and stakeholders explain and share the experience of the festival.

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The impact of alternative policies on livestock farmers' willingness to recycle manure: evidence from central China

China Agricultural Economic Review ◽

10.1108/caer-09-2019-0158 ◽

2020 ◽

Vol 12 (4) ◽

pp. 583-594 ◽

Cited By ~ 1

Author(s):

Qian Li ◽

Jingjing Wang ◽

Xiaoyang Wang ◽

Yubin Wang

Keyword(s):

Survey Data ◽

Policy Instruments ◽

Optimal Strategies ◽

Central China ◽

Positive Interaction ◽

Content Type ◽

Livestock Farmers ◽

The Impact ◽

New Evidence ◽

Better Than

PurposeThis article examines the impact of different policy instruments on livestock farmers' willingness to recycle manure. The results shed light on the optimal policy combination.Design/methodology/approachA game theoretical framework is constructed to illustrate farmers' optimal strategies under different policies. Theoretical results are empirically tested by survey data from beef cattle farmers in Central China.FindingsEmpirical results show that penalties work better than subsidies if each type of policy is implemented separately. The authors also find a positive interaction between subsidy and penalty policies, suggesting that a combination of subsidy and penalty policies produces the best outcome in incentivizing livestock farmers to recycle manure. Furthermore, planting and breeding simultaneously have the strongest effect on increasing livestock farmers' willingness to recycle manure, suggesting that the combination of planting and breeding can be an optimal strategy for manure management.Originality/valueThis study is based on firsthand survey data and provides new evidence on the effectiveness of alternative environmental policies on manure recycling.

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Whose media are hostile? The spillover effect of interpersonal discussions on media bias perceptions

Communications ◽

10.1515/commun-2019-0140 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Laia Castro ◽

David Nicolas Hopmann ◽

Lilach Nir

Keyword(s):

Social Networks ◽

Survey Data ◽

Spillover Effect ◽

Media Bias ◽

The Us ◽

The Impact ◽

Hostile Media

AbstractSince Eveland and Shah (2003) published their seminal study on the impact of social networks on media bias perceptions in the US, little has been researched about the interpersonal antecedents of hostile media perceptions. In this study we address this gap by investigating the role of safe, or like-minded, political discussions on individuals’ likelihood to perceive media as hostile. We use survey data from more than 5,000 individuals in Germany. Our findings reveal that like-minded discussions increase one’s likelihood to perceive media as hostile; yet, only among those more politically engaged and ideologically on the left. The significance and theoretical implications of the results are discussed in the concluding section.

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Edge overlap in weighted and directed social networks

Network Science ◽

10.1017/nws.2020.49 ◽

2021 ◽

pp. 1-15

Author(s):

Heather Mattie ◽

Jukka-Pekka Onnela

Keyword(s):

Social Networks ◽

Social Network ◽

Social Interactions ◽

Network Data ◽

Directed Networks ◽

Rural Villages ◽

Social Network Data ◽

Structure Strength ◽

Mean And Variance ◽

The Mean

Abstract With the increasing availability of behavioral data from diverse digital sources, such as social media sites and cell phones, it is now possible to obtain detailed information about the structure, strength, and directionality of social interactions in varied settings. While most metrics of network structure have traditionally been defined for unweighted and undirected networks only, the richness of current network data calls for extending these metrics to weighted and directed networks. One fundamental metric in social networks is edge overlap, the proportion of friends shared by two connected individuals. Here, we extend definitions of edge overlap to weighted and directed networks and present closed-form expressions for the mean and variance of each version for the Erdős–Rényi random graph and its weighted and directed counterparts. We apply these results to social network data collected in rural villages in southern Karnataka, India. We use our analytical results to quantify the extent to which the average overlap of the empirical social network deviates from that of corresponding random graphs and compare the values of overlap across networks. Our novel definitions allow the calculation of edge overlap for more complex networks, and our derivations provide a statistically rigorous way for comparing edge overlap across networks.

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Effects of the strength and the size of social networks on the components of social capital - Focusing on the analysis of survey data of Busan city

21st centry Political Science Review ◽

10.17937/topsr.24.2.201409.3 ◽

2014 ◽

Vol 24 (2) ◽

pp. 3-28 ◽

Cited By ~ 1

Author(s):

Taegun Yoo

Keyword(s):

Social Capital ◽

Social Networks ◽

Survey Data

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Comparative Social Capital: Networks of Entrepreneurs and Venture Capitalists in China and Russia

Management and Organization Review ◽

10.1111/j.1740-8784.2007.00080.x ◽

2007 ◽

Vol 3 (3) ◽

pp. 397-419 ◽

Cited By ~ 60

Author(s):

Bat Batjargal

Keyword(s):

Social Capital ◽

Social Networks ◽

Empirical Study ◽

Venture Capital ◽

Institutional Theory ◽

Survey Data ◽

Private Equity ◽

Interpersonal Trust ◽

Venture Capitalists ◽

Professional Networks

I compare networks of entrepreneurs and venture capitalists in China and Russia by examining professional social networks of software entrepreneurs and private equity investors from the perspectives of institutional theory and culture paradigm. In the empirical study, I draw on survey data from Beijing and Moscow based on interviews of 159 software entrepreneurs and 124 venture capital decisions. I found that professional networks of the Chinese software entrepreneurs are smaller, denser and more homogeneous in educational specializations, compared with the networks of Russian entrepreneurs. Furthermore, I found that both ties and interpersonal trust in the referral tie are stronger in China than in Russia.

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An Empirical Study on Travelers’ Acceptance Intention of Travel Information on Social Networks

Mathematical Problems in Engineering ◽

10.1155/2020/1843073 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Jian Chen ◽

Rui Li ◽

Zhiyan Fu ◽

Chi Zhang ◽

Fatao Yuan

Keyword(s):

Social Networks ◽

Technology Acceptance ◽

Survey Data ◽

Latent Variables ◽

Explanatory Power ◽

Ease Of Use ◽

Perceived Usefulness ◽

Equation Modeling ◽

Extended Model ◽

Travel Information

Social networks are new channels for travelers to obtain or share travel information, which has important impacts on their travel decision-making behavior. Therefore, the psychological feelings of travelers and their acceptance intention (AI) of this type of travel information should be explored. In this study, certain psychological latent variables were incorporated into a technology acceptance model to construct an extended model that explores the factors influencing the travelers’ AI of travel information on social networks. This model was validated using survey data collected in Chongqing, China. The influence of each factor on the AI and the interaction between factors were quantitatively described using the structural equation modeling method. The results showed that the perceived risk, perceived trust, and perceived usefulness are the most important factors affecting travelers’ AI; the subjective norm, hedonic motivation, and perceived ease of use also exert a certain degree of influence; the proposed research model has a good interpretation ability for AI, and the explanatory power has reached 52%. This study confirmed the applicability of the constructed model in this research field on the basis of survey data and provided a theoretical reference for ascertaining the attitude of travelers toward travel information available on social networks.

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The Link between Relative Pay and Job Satisfaction Revisited

European Sociological Review ◽

10.1093/esr/jcaa045 ◽

2020 ◽

Author(s):

Andreas Eberl ◽

Matthias Collischon

Keyword(s):

Job Satisfaction ◽

Social Networks ◽

Survey Data ◽

Time Trends ◽

Fixed Effects ◽

Work Values ◽

Unobserved Heterogeneity ◽

Reference Group ◽

Omitted Variable Bias ◽

Variable Bias

Abstract This paper investigates the connection between job satisfaction and comparison pay (defined as a person’s rank within a reference group) with SOEP Data. Based on work values and social networks, we argue that the existing literature neglects heterogeneities in individual job satisfaction as well as wage trajectories along the career path. Thus, previous studies based on survey data likely overestimate the connection between job satisfaction and comparison pay. We use fixed-effects individual slopes models to account for heterogeneous time trends between individuals. We find no statistically significant correlation between comparison pay and job satisfaction. We conclude that previous estimates were biased by not accounting for idiosyncratic trends in job satisfaction due to unobserved heterogeneity, which led to an omitted variable bias.

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