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"Social interaction"
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From neighborhoods to nations
Just as we learn from, influence, and are influenced by others, our social interactions drive economic growth in cities, regions, and nations--determining where households live, how children learn, and what cities and firms produce.From Neighborhoods to Nationssynthesizes the recent economics of social interactions for anyone seeking to understand the contributions of this important area. Integrating theory and empirics, Yannis Ioannides explores theoretical and empirical tools that economists use to investigate social interactions, and he shows how a familiarity with these tools is essential for interpreting findings. The book makes work in the economics of social interactions accessible to other social scientists, including sociologists, political scientists, and urban planning and policy researchers.
Focusing on individual and household location decisions in the presence of interactions, Ioannides shows how research on cities and neighborhoods can explain communities' composition and spatial form, as well as changes in productivity, industrial specialization, urban expansion, and national growth. The author examines how researchers address the challenge of separating personal, social, and cultural forces from economic ones. Ioannides provides a toolkit for the next generation of inquiry, and he argues that quantifying the impact of social interactions in specific contexts is essential for grasping their scope and use in informing policy.
Revealing how empirical work on social interactions enriches our understanding of cities as engines of innovation and economic growth,From Neighborhoods to Nationscarries ramifications throughout the social sciences and beyond.
eBook
Mobility patterns are associated with experienced income segregation in large US cities
Abstract
Traditional understanding of urban income segregation is largely based on static coarse-grained residential patterns. However, these do not capture the income segregation experience implied by the rich social interactions that happen in places that may relate to individual choices, opportunities, and mobility behavior. Using a large-scale high-resolution mobility data set of 4.5 million mobile phone users and 1.1 million places in 11 large American cities, we show that income segregation experienced in places and by individuals can differ greatly even within close spatial proximity. To further understand these fine-grained income segregation patterns, we introduce a Schelling extension of a well-known mobility model, and show that experienced income segregation is associated with an individual’s tendency to explore new places (place exploration) as well as places with visitors from different income groups (social exploration). Interestingly, while the latter is more strongly associated with demographic characteristics, the former is more strongly associated with mobility behavioral variables. Our results suggest that mobility behavior plays an important role in experienced income segregation of individuals. To measure this form of income segregation, urban researchers should take into account mobility behavior and not only residential patterns.
Journal Article
The Cambridge handbook of group interaction analysis
\"This Handbook provides a compendium of research methods that are essential for studying interaction and communication across the behavioral sciences. Focusing on coding of verbal and nonverbal behavior and interaction, the Handbook is organized into five parts. [bullet] Part I provides an introduction and historic overview of the field. [bullet] Part II presents areas in which interaction analysis is used, such as relationship research, group research, and nonverbal research. [bullet] Part III focuses on development, validation, and concrete application of interaction coding schemes. [bullet] Part IV presents relevant data analysis methods and statistics. [bullet] Part V contains systematic descriptions of established and novel coding schemes, which allows quick comparison across instruments. Researchers can apply this methodology to their own interaction data and learn how to evaluate and select coding schemes and conduct interaction analysis. This is an essential reference for all who study communication in teams and groups\"-- Provided by publisher.
Book
Characterizing the Impact of COVID-19 on Men Who Have Sex with Men Across the United States in April, 2020
The COVID-19 pandemic is reinforcing health inequities among vulnerable populations, including men who have sex with men (MSM). We conducted a rapid online survey (April 2 to April 13, 2020) of COVID-19 related impacts on the sexual health of 1051 US MSM. Many participants had adverse impacts to general wellbeing, social interactions, money, food, drug use and alcohol consumption. Half had fewer sex partners and most had no change in condom access or use. Some reported challenges in accessing HIV testing, prevention and treatment services. Compared to older MSM, those 15–24 years were more likely to report economic and service impacts. While additional studies of COVID-19 epidemiology among MSM are needed, there is already evidence of emerging interruptions to HIV-related services. Scalable remote solutions such as telehealth and mailed testing and prevention supplies may be urgently needed to avert increased HIV incidence among MSM during the COVID-19 pandemic era.
Journal Article
Impacts of COVID-19 and social isolation on academic staff and students at universities: a cross-sectional study
\"The impacts of the Coronavirus Disease 2019 (COVID-19) pandemic and the shutdown it triggered at universities across the world, led to a great degree of social isolation among university staff and students. The aim of this study was to identify the perceived consequences of this on staff and their work and on students and their studies at universities.
The study used a variety of methods, which involved an on-line survey on the influences of social isolation using a non-probability sampling. More specifically, two techniques were used, namely a convenience sampling (i.e. involving members of the academic community, which are easy to reach by the study team), supported by a snow ball sampling (recruiting respondents among acquaintances of the participants). A total of 711 questionnaires from 41 countries were received. Descriptive statistics were deployed to analyse trends and to identify socio-demographic differences. Inferential statistics were used to assess significant differences among the geographical regions, work areas and other socio-demographic factors related to impacts of social isolation of university staff and students.
The study reveals that 90% of the respondents have been affected by the shutdown and unable to perform normal work or studies at their institution for between 1 week to 2 months. While 70% of the respondents perceive negative impacts of COVID 19 on their work or studies, more than 60% of them value the additional time that they have had indoors with families and others. .
While the majority of the respondents agree that they suffered from the lack of social interaction and communication during the social distancing/isolation, there were significant differences in the reactions to the lockdowns between academic staff and students. There are also differences in the degree of influence of some of the problems, when compared across geographical regions. In addition to policy actions that may be deployed, further research on innovative methods of teaching and communication with students is needed in order to allow staff and students to better cope with social isolation in cases of new or recurring pandemics.
Journal Article
WHAT DRIVES CONSUMER SHOPPING BEHAVIOR IN LIVE STREAMING COMMERCE?
Drawing upon the stimulus-organism-response framework, this study investigates contextual and environmental stimuli effects (streamer attractiveness, para-social interactions, and information quality) from a live streaming commerce context on viewer's cognitive and emotional states (cognitive assimilation and arousal) and their subsequent responses (hedonic consumption, impulsive consumption, and social sharing). Based on 300 valid survey data, we found 1) the three stimuli have direct effects on cognitive and emotional states, and cognitive and emotional states have direct effects on three responses, 2) the streamer attractiveness and para-social interaction effects on the three responses are mediated by arousal. However, cognitive assimilation only mediates the information quality effect on the three responses. These findings provide insights into how live streaming stimuli influence consumer's cognitive and emotional states, in turn influencing consumer behavior in a live streaming commerce context.
Journal Article