Research on Micro-Macro Process of Industrial Aggregation Based on Social Network Interaction Model

2011 ◽  
Vol 403-408 ◽  
pp. 3398-3401
Author(s):  
Na Wang ◽  
Dong Li ◽  
Qi Wen Wang ◽  
Hong Shan Lv
Keyword(s):  
Social Network ◽  
Policy Making ◽  
Interaction Model ◽  
Industrial Cluster ◽  
Network Effect ◽  
Aggregation Process ◽  
Crowding Effect ◽  
Industry Cluster ◽  
Network Interaction ◽  
The Social

It is necessary to detect the aggregation dynamics and aggregation process of industry cluster for there are still some problems in the development of industrial cluster. The existing theories are less attention to the impacts of the social network of enterprises and their interactions on the industrial aggregation. We proposed a social network interaction model and research on the industrial aggregation process from the aspect of economic sociology. The impacts of signal effect, network effect and crowding effect on the dynamic micro-macro process of industrial aggregation are discussed and two possible phase transition and its causes in industrial aggregation process are explored. The simulation outcomes are good explanations for industrial aggregation process and made some useful implications for policy-making.

The Social Network Effect

2013 ◽  
Vol 43 (5) ◽  
pp. 850-868 ◽  
Author(s):  
Gregory D. Saxton ◽  
Lili Wang
Keyword(s):  
Social Network ◽  
Network Effect ◽  
The Social

Unraveling the Effects of Residence in an Ethnic Enclave on Immigrants’ Travel Mode Choices

2016 ◽  
Vol 37 (4) ◽  
pp. 425-443 ◽  
Author(s):  
Eun Jin Shin
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Ethnic Enclave ◽  
Network Effect ◽  
Ethnic Enclaves ◽  
Household Travel Survey ◽  
The Social ◽  
Household Travel ◽  
Transit Use ◽  
The Relationship

This article examines the relationship between immigrants’ residence in an ethnic enclave and use of alternative modes of transportation. Ethnic enclaves may offer stronger social networks, which may affect mode choice. Using the 2012–2013 California Household Travel Survey, I find that immigrants residing in ethnic enclaves have higher rates of household-external carpooling for nonwork trip purposes than immigrants residing outside ethnic enclaves. I find no difference in the rate of transit use, once built environment characteristics are taken into account. External carpools require arrangements between people in different households, and thus may reflect the social network effect of ethnic enclaves.

scholarly journals Relative deprivation and an avoidance coping in network communication

2020 ◽  
Vol 11 (1) ◽  
pp. 92-106
Author(s):  
E.P. Belinskaya ◽  
E.R. Agadullina
Keyword(s):  
Social Network ◽  
Relative Deprivation ◽  
Network Communication ◽  
Perceived Threat ◽  
Avoidance Coping ◽  
Network Interaction ◽  
The Social ◽  
Independent Variable ◽  
The Relationship ◽  
Difficult Situations

Objective: the relationship between a relative deprivation and communication in social networks, in particular, with avoidance coping in the situations of communicative difficulties. Background: the study is focused on coping with difficult situations through the analysis of meta-determinants of construction of the representations about social world, in particular, in the conditions of social network interaction among youth persons. Study design and participants: the study was conducted as a survey involving 193 active users of the social network Vkontakte. Measurements: a double mediation model was tested with a relative deprivation as an independent variable, avoidance coping as a dependent variable, and a perceived threat and an attribution of aggressive intentions as the mediators of this relationship. Results: the results indicate that a relative deprivation is associated with an increase of perceived threat, which in turn increases a likelihood of attributing to people with dissimilar values and attitudes of “bad” intentions and leads to avoiding network interaction. At the same time, the results demonstrate that group threat does not a significant mediator of the relationship between a relative deprivation and network behavior. Conclusions: relative deprivation is associated with avoidance coping in social network communication both directly and indirectly through the actualization of additional social and cognitive variables.

Revisiting the Romeo and Juliet Effect ()

2014 ◽  
Vol 45 (3) ◽  
pp. 170-178 ◽  
Author(s):  
H. Colleen Sinclair ◽  
Kristina B. Hood ◽  
Brittany L. Wright
Keyword(s):  
Social Network ◽  
Relationship Quality ◽  
Meta Analysis ◽  
Longitudinal Survey ◽  
Network Effect ◽  
Romeo And Juliet ◽  
The Social

We conducted a replication and extension of Driscoll, Davis, and Lipetz’s (1972) classic longitudinal survey of the Romeo and Juliet effect, wherein they found that increases in parental interference were linked to increases in love and commitment. Using the original measures, 396 participants were followed over a 3–4 month period wherein they reported love, commitment, trust, and criticism for their partners as well as levels of perceived interference from friends and family. Participants also completed contemporary, validated measures of the same constructs similar to those often implemented in studies of social network opinion. Repeating the analyses employed by Driscoll and colleagues, we could not find evidence for the Romeo and Juliet effect. Rather, consistent with the social network effect ( Felmlee, 2001 ), participants reporting higher levels of interference or lower levels of approval reported poorer relationship quality regardless of outcome measured. This effect was likewise evident in a meta-analysis.

The social network effect

Trust Inc. ◽  
2018 ◽  
pp. 130-136
Author(s):  
Matthew Yeomans
Keyword(s):  
Social Network ◽  
Network Effect ◽  
The Social

scholarly journals Assessing Accessibility of Dockless Sharing-Bike Networks by the Social Network Analysis Method

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Pei Liu ◽  
Junlan Chen ◽  
Heyang Sun ◽  
Xiucheng Guo ◽  
Yan Wang ◽  
...  
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Clustering Algorithm ◽  
Spatial Interaction ◽  
Interaction Model ◽  
Deep Understanding ◽  
Sustainable Transportation ◽  
The Social ◽  
In Transit

Dockless sharing bikes play an increasingly significant role in transit transfer, especially for the first/last mile. However, it is not always accessible for users to find sharing bicycles. The objective of this paper is to assess the accessibility of dockless sharing bikes from a network perspective, which would provide a decision-making basis not only for potential bike users but also for urban planners, policymakers, and bicycle suppliers to optimize sharing-bike systems. Considering bicycle travel characteristics, a hierarchical clustering algorithm was applied to construct the dockless sharing-bike network. The social network analysis (SNA) method was adopted to assess the accessibility of the bike network. Then, a spatial interaction model was chosen to conduct a correlation analysis to compare the accessibility obtained from the SNA approach. The case study of Shanghai indicates a strong connection between the accessibility and the SNA indicators with the correlation coefficient of 0.779, which demonstrates the feasibility of the proposed method. This paper contributes to a deep understanding of dockless sharing-bike network accessibility since the SNA approach considers both the interaction barriers and the network structure of a bicycle network. The developed methodology requires fewer data and is easy to operate. Thus, it can serve as a tool to facilitate the smart management of sharing bikes for improving a sustainable transportation system.

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