Global Network Inference from Ego Network Samples: Testing a Simulation Approach

Network sampling poses a radical idea: that it is possible to measure global network structure without the full population coverage assumed in most network studies. Network sampling is only useful, however, if a researcher can produce accurate global network estimates. This article explores the practicality of making network inference, focusing on the approach introduced in Smith (2012). The method uses sampled ego network data and simulation techniques to make inference about the global features of the true, unknown network. The validity check here includes more difficult scenarios than previous tests, including those that go beyond the initial scope conditions of the method. I examine networks with a skewed degree distribution and surveys that limit the number of social ties a respondent can list. For each network/survey combination, I take a random ego network sample, run the simulation method, and compare the results to the true values (using measures of connectivity and cohesion). I also test the method on local measures of network structure. The results, on the whole, are encouraging. The method produces good estimates even in cases where the degree distribution is skewed and the survey is strongly restricted. I also find that is it better to not truncate the survey if possible. If the survey must be restricted, the researcher would do well to infer the missing data, rather than use the raw data naively

The Ties that Bind Us: The Influence of Perceived State Similarity on Policy Diffusion

In this paper, we propose a new measure to understand policy connections between the states. For decades, diffusion scholars have relied on the largely untested assumption that contiguous states are more similar than noncontiguous states, despite evidence that similarity is more complex than geographic proximity. We use a unique survey of citizens’ perceptions of other states to construct a national network of similarity ties between the states. We apply this new measure with a data set of state policy adoptions in a dyadic and monadic event history analysis and find that similar state adoptions are a reliable predictor of policy innovation. We argue that perceived state similarity is a more complete measure of how states look to each other than contiguity

Online Safety Nets: How Perceived Isolation Motivates Network Closure.

The feeling of being alone – and drive to vanquish that feeling – represents a common interest among theorists in communication, psychology, and sociology. Despite extensive literatures on isolation, exclusion, rejection, and loneliness, less is known about how these feelings reverberate through personal networks. Concurrently, the ascent of mobile and social technologies has generated a range of communicative possibilities that complicate our understanding of how people respond to moments of social isolation. Indeed, evolving network theories suggest that these media affordances have the potential to steer communication toward certain people and away from others. In this dissertation, I attempt to interlace this dual theoretical backdrop, integrating classic theories on the experience of social isolation with recent theories on the social implications of online affordances. I argue that perceived isolation is likely to drive people toward network closure, or what Kadushin (2012) refers to as “network safety”. I also argue that this thrust is more likely to occur in online networks that are defined by availability and awareness, such as Facebook. In order to substantiate these claims, this dissertation encompasses studies measuring online network outcomes in combination with three different versions of perceived isolation: induced exclusion (Study 1), exclusion reactivity (Study 2), and rejection sensitivity (Study 3). Altogether, the combined results indicate that feelings of isolation can shift social attention and preference toward trusted ties and core circles. Over time, these patterns suggest that people who experience more frequent and intense feelings of isolation may choose to fortify close relationships and closed communities, rather than embrace weak ties and open networks. To conclude, I contextualize the findings within other models of perceived isolation, and propose an extra component for the observed network dynamics. Expanding on this phenomenon, I theorize how certain cognitive states may operate as network switches, changing personal network motivations in a dynamic manner. With the emergence of increased availability and awareness, individuals have increased capacity to choose, and thus shift, their personal network patterns during daily life. Consequently, I call for new research on the cognitive mechanisms that underlie social network motivations, perceptions, and choices.PhDCommunication StudiesUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/133276/1/joebayer_1.pd

Computational Sociolinguistics: A Survey

Language is a social phenomenon and variation is inherent to its social nature. Recently, there has been a surge of interest within the computational linguistics (CL) community in the social dimension of language. In this article we present a survey of the emerging field of "Computational Sociolinguistics" that reflects this increased interest. We aim to provide a comprehensive overview of CL research on sociolinguistic themes, featuring topics such as the relation between language and social identity, language use in social interaction and multilingual communication. Moreover, we demonstrate the potential for synergy between the research communities involved, by showing how the large-scale data-driven methods that are widely used in CL can complement existing sociolinguistic studies, and how sociolinguistics can inform and challenge the methods and assumptions employed in CL studies. We hope to convey the possible benefits of a closer collaboration between the two communities and conclude with a discussion of open challenges.Comment: To appear in Computational Linguistics. Accepted for publication: 18th February, 201

Inclusion unlocks the creative potential of gender diversity in teams

Diversity in teams can boost creativity, and gender diversity was shown to be a contributor to collective creativity. We show that gender diversity requires inclusion to lead to benefits in creativity by analyzing teams in 4011 video game projects. Recording data on the weighted network from past collaborations, we developed four measures of inclusion, depending on a lack of segregation, strong ties across genders, and the incorporation of women into the core of the team s network. We found that gender diversity without inclusion does not contribute to creativity, while with maximal inclusion one standard deviation change in diversity results in .04 to .09 standard deviation change in creativity, depending on the measure of inclusion. To reap creative benefits of diversity, developer firms need to include 23 percent or more female developers (as opposed to the 15 percent mean female proportion) and include them in the team along all dimensions. Inclusion at low diversity has a negative effect. By analyzing the sequences of diversity and inclusion across games within firms, we found that adding diversity first, and developing inclusion later can lead to higher diversity and inclusion, compared to adding female developers with already existing cross-gender ties to the team

Do international institutions matter? Socialization and international bureaucrats

A key component of (neo-)functionalist and constructivist approaches to the study of international organizations concerns staff socialization. Existing analyses of how, or indeed whether, staff develop more pro-internationalist attitudes over time draw predominantly on cross-sectional data. Yet, such data cannot address (self-)selection issues or capture the inherently temporal nature of attitude change. This article proposes an innovative approach to the study of international socialization using an explicitly longitudinal design. Analysing two waves of a large-scale survey conducted within the European Commission in 2008 and 2014, it examines the beliefs and values of the same individuals over time and exploits exogenous organizational changes to identify causal effects. Furthermore, the article theorizes and assesses specified scope conditions affecting socialization processes. Showing that international institutions do, in fact, influence value acquisition by individual bureaucrats, our results contest the widely held view that international organizations are not a socializing environment. Our analysis also demonstrates that age at entry and gender significantly affect the intensity of such value change