Social network effect versus Romeo and Juliet effect? Addressing issues of measurement in the search for the Romeo & Juliet effect

2014 ◽  
Author(s):  
Dave McLean ◽  
Colleen Sinclair
Keyword(s):  
Social Network ◽  
Network Effect ◽  
Romeo And Juliet

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

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.

Professional Social Network Site Participation

2012 ◽  
Vol 4 (4) ◽  
pp. 19-32 ◽  
Author(s):  
Craig C. Claybaugh ◽  
Peter Haried
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Network Effects ◽  
Business Schools ◽  
Diffusion Theory ◽  
Critical Mass ◽  
Network Effect ◽  
Future Research ◽  
Innovation Diffusion Theory ◽  
Business Connections

Online professional social networks have become a noteworthy tool to help professionals create, strengthen, and maintain valuable business connections. However, the question remains as to who is actually using online professional social networks and how the diffusion of the social network has occurred. Looking at diffusion and usage through innovation diffusion theory, critical mass and a network effects lens, this paper seeks to examine the diffusion of an online professional social network (LinkedIn) for a specific population of university business schools. Using longitudinal analysis (2008 compared to 2011) our findings advocate network dynamics of homogeneous populations display consistent patterns of participation and non-participation. The authors’ findings suggest LinkedIn diffusion is not consistent across all business schools examined. A greater critical mass and network effect appears to have been achieved across larger research universities when compared to smaller university populations. An analysis of the results and future research directions are presented.

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.

MANAGING QUALITY AND NETWORK EFFECTS IN THE HIGH-TECH MARKET: THE CASE OF RESEARCH AND DEVELOPMENT TOOLS IN LIFE SCIENCE INDUSTRY

2012 ◽  
Vol 16 (02) ◽  
pp. 1250009 ◽  
Author(s):  
YANSONG HU ◽  
DAMIEN McLOUGHLIN
Keyword(s):  
Social Network ◽  
Research And Development ◽  
Network Effects ◽  
Life Science ◽  
Current Theory ◽  
Third Party ◽  
Network Effect ◽  
High Tech ◽  
Unified Framework ◽  
Development Tools

We seek to extend current theory on research and development (R&D) tools and create new insights by adopting a multi-disciplinary approach and drawing from literatures on quality and network effects in the high-tech market. More specifically, we use a unified framework on quality and network effects, and examine two forms of quality effects (third party quality reviews and company-advertised quality) and two types of network effects (network externalities effect and social network effect) in driving the popularity and success of R&D tools. By tracking two categories of R&D tools in the life science industry for a decade, our research provides a sharper understanding of R&D tools and therefore can help R&D tool producers to accelerate the market acceptance of their new tools, which should promote faster innovation and ultimately benefit the whole R&D community.

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