I earned a Bachelor of Science in Psychology from Brooklyn College in 1997. Starting in 2000, I enrolled in the graduate sociology program at Arizona where I was fortunate to earn a Ph.D. in 2006 under the supervision and mentorship of Ron Breiger and Al Bergesen. I had the privilege to spend the first twelve years of my academic career in the Department of Sociology at Notre Dame, where I was promoted to Associate Professor with tenure in 2012, and to Full Professor in 2016. I'm currently the LeRoy Nieman Term Chair Professor in the Department of Sociology at UCLA. My areas of research interest are cognitive social science, cultural sociology, the sociology of consumption, network science, social psychology, and social theory. Phone: 3102675438 Address: UCLA, Department of Sociology 375 Portola Plaza 264 Haines Hall Los Angeles, CA 90095
OBJECTIVES To determine whether first-year college students cluster in networks based on subjecti... more OBJECTIVES To determine whether first-year college students cluster in networks based on subjective perceptions of loneliness. Participants: 492 first-year Notre Dame students completed surveys across two semesters and provided communication data used to reconstruct their social networks. Methods: Subjective perceptions of loneliness are measured using the Social and Emotional Loneliness Scale for Adults (SELSA). Correlations between an individual's loneliness and the average loneliness of their alters are compared to associations in random networks created using a rewiring algorithm to determine statistical significance. Results: During their first semester, students are more likely than chance to form ties with other students with similar levels of family and romantic loneliness. In their second semester, students cluster on romantic loneliness but not on family or social loneliness. Conclusions: Students are more likely than chance to form ties with people with similar self-perceived levels of loneliness, but only for certain types of loneliness and during certain periods.
BACKGROUND Moderate-vigorous physical activity (MVPA) offers extensive health benefits but is neg... more BACKGROUND Moderate-vigorous physical activity (MVPA) offers extensive health benefits but is neglected by many. As a result, a wide body of research investigating physical activity behavior change has been conducted. As many of these studies transition from paper-based methods of MVPA data collection to fitness trackers, a series of challenges arise in extracting insights from these new data. OBJECTIVE The objective of this research was to develop a framework for preprocessing and extracting MVPA trends from wearable fitness tracker data to support MVPA behavior change studies. METHODS Using heart rate data collected from fitness trackers, we propose Physical Activity Trend eXtraction (PATX), a framework that imputes missing data, recalculates personalized target heart zones, and extracts MVPA trends. We tested our framework on a dataset of 123 college study participants observed across 2 academic years (18 months) using Fitbit Charge HRs. To demonstrate the value of our frameworks’ output in supporting MVPA behavior change studies, we applied it to 2 case studies. RESULTS Among the 123 participants analyzed, PATX labeled 41 participants as experiencing a significant increase in MVPA and 44 participants who experienced a significant decrease in MVPA, with significance defined as P<.05. Our first case study was consistent with previous works investigating the associations between MVPA and mental health. Whereas the second, exploring how individuals perceive their own levels of MVPA relative to their friends, led to a novel observation that individuals were less likely to notice changes in their own MVPA when close ties in their social network mimicked their changes. CONCLUSIONS By providing meaningful and flexible outputs, PATX alleviates data concerns common with fitness trackers to support MVPA behavior change studies as they shift to more objective assessments of MVPA.
This article uses a history of concept formation focused on Pierre Bourdieu’s probabilism to prov... more This article uses a history of concept formation focused on Pierre Bourdieu’s probabilism to provide the groundwork for a probabilistic sociology. We argue that not only was Bourdieu a probabilist, but that reframing probability along heterodox lines holds empirical promise when it is also linked to new concept formation, as evident in the case of Bourdieu. For the anglophone sociological field, probability is of primary significance for method and epistemic commitment. Sociological theory continues to react to the integral role of probability used for the purposes of sociological knowledge but finds very little in the way of concept formation that does not adopt the same commitments as the methodologists. The history we outline retrieves a different approach, one which finds Bourdieu aligned with objective probability borrowed from the sociology of Max Weber. This version of probabilism locates probability directly in the world and makes it a source of concept formation without the intervention of the methodologists. This article follows Bourdieu as he recognizes objective probability in the work of Weber (around 1973) and then engages in novel concept formation on these grounds. Ranging between spaces of objective probability (fields), spaces of randomness (games of chance), and spaces of determinism (apparatus), Bourdieu’s mature probabilism reveals the conceptual and meta-methodological differences that come with making probability objective. Probabilistic expectations derive from the world itself, rather than existing as part of explanation or method. Specifically, this history of concept formation reveals a looping relation between objective probability (chances) and learned probability (expectations) that, as Bourdieu himself appreciated, holds wide-ranging implications for best knowledge practices and empirical sociological research.
Cyberpsychology, Behavior, and Social Networking, Mar 1, 2022
Fitbit wearable devices provide users with objective data on their physical activity and sleep ha... more Fitbit wearable devices provide users with objective data on their physical activity and sleep habits. However, little is known about how users develop their usage patterns and the key mechanisms underlying the development of such patterns. In this article, we report results from a longitudinal analysis of Fitbit usage behavior among a sample of college students. Survey and Fitbit data were collected from 692 undergraduates at the University of Notre Dame across two waves. We use a structural equation modeling strategy to examine the relationships among three dimensions of Fitbit usage behavior corresponding to three elements of the habit loop model: trust in the accuracy of Fitbit physical activity and sleep data (cue), intensity of Fitbit device use (routine), and adjustment of physical activity and sleep behaviors based on Fitbit data (reward). More than 75 percent of participants trusted the accuracy of Fitbit data and nearly half of the participants reported they adjusted their physical activities based on the data reported by their devices. Participants who trusted the Fitbit physical activity data also tended to trust the sleep data, and those who intensively used Fitbit devices tended to adjust both their physical activities and then sleep habits. Psychological states and traits such as depression, extroversion, agreeableness, and neuroticism help predict multiple dimensions of Fitbit usage behaviors. However, we find little evidence that trust, Fitbit usage, or perceived adjustment of activity or sleep were associated with actual changes in levels of sleep and activity. We discuss the implications of these findings for understanding when and how this new monitoring technology results in changes in people's behavior.
The image of Max Weber as an “interpretivist” cultural theorist of webs of significance that peop... more The image of Max Weber as an “interpretivist” cultural theorist of webs of significance that people use to cope with a meaningless world reigns largely unquestioned today. This article presents a different image of Weber’s sociology, where meaning does not transport actors over an abyss of meaninglessness but rather helps them navigate a world of Chance. Retrieving this concept from Weber’s late writings, we argue that the fundamental basis of the orders sociologists seek to understand is not chaos. Action is rendered interpretable, rather, to the extent persons orient themselves to possibilities and probabilities, which remain real but unknowable. In this framework, interpretation and probability are allies, not antagonists. Weber’s systematic use of the probabilistic notion of Chance as a central resource for concept formation and sociological explanation seriously challenges current understandings of probability as a purely statistical, atheoretical concern. We outline the concep...
How do “instituting” organizations develop and deploy the categories that they use to make instit... more How do “instituting” organizations develop and deploy the categories that they use to make institutional realities happen? This question has received limited attention in the literature with schools having been the primary focus of empirical attention. In this paper we turn to a different sort of instituting organization: a transnational organization with the mission of defining and “consecrating” the cultural heritage of humanity: UNESCO’s World Heritage Committee. We describe the historical emergence of the WHC as well as the origins of the system of categories that it deploys to make the notion of a universal cultural heritage an institutional reality in the natural and cultural realms. We show that—as has been argued in the case of education— the implicit assumptions that go into defining the criteria for “institution” create the conditions for the development of “ascriptive” advantage that dictate (even under the best of intentions) that certain actors will disproportionately benefit. However, we also show that when the institutional conditions are present for the fostering and enforcement of “universalistic” criteria, then the ascriptive effect is greatly attenuated and the instituting action of the organization lives up to its democratic intentions.
OBJECTIVES To determine whether first-year college students cluster in networks based on subjecti... more OBJECTIVES To determine whether first-year college students cluster in networks based on subjective perceptions of loneliness. Participants: 492 first-year Notre Dame students completed surveys across two semesters and provided communication data used to reconstruct their social networks. Methods: Subjective perceptions of loneliness are measured using the Social and Emotional Loneliness Scale for Adults (SELSA). Correlations between an individual's loneliness and the average loneliness of their alters are compared to associations in random networks created using a rewiring algorithm to determine statistical significance. Results: During their first semester, students are more likely than chance to form ties with other students with similar levels of family and romantic loneliness. In their second semester, students cluster on romantic loneliness but not on family or social loneliness. Conclusions: Students are more likely than chance to form ties with people with similar self-perceived levels of loneliness, but only for certain types of loneliness and during certain periods.
BACKGROUND Moderate-vigorous physical activity (MVPA) offers extensive health benefits but is neg... more BACKGROUND Moderate-vigorous physical activity (MVPA) offers extensive health benefits but is neglected by many. As a result, a wide body of research investigating physical activity behavior change has been conducted. As many of these studies transition from paper-based methods of MVPA data collection to fitness trackers, a series of challenges arise in extracting insights from these new data. OBJECTIVE The objective of this research was to develop a framework for preprocessing and extracting MVPA trends from wearable fitness tracker data to support MVPA behavior change studies. METHODS Using heart rate data collected from fitness trackers, we propose Physical Activity Trend eXtraction (PATX), a framework that imputes missing data, recalculates personalized target heart zones, and extracts MVPA trends. We tested our framework on a dataset of 123 college study participants observed across 2 academic years (18 months) using Fitbit Charge HRs. To demonstrate the value of our frameworks’ output in supporting MVPA behavior change studies, we applied it to 2 case studies. RESULTS Among the 123 participants analyzed, PATX labeled 41 participants as experiencing a significant increase in MVPA and 44 participants who experienced a significant decrease in MVPA, with significance defined as P<.05. Our first case study was consistent with previous works investigating the associations between MVPA and mental health. Whereas the second, exploring how individuals perceive their own levels of MVPA relative to their friends, led to a novel observation that individuals were less likely to notice changes in their own MVPA when close ties in their social network mimicked their changes. CONCLUSIONS By providing meaningful and flexible outputs, PATX alleviates data concerns common with fitness trackers to support MVPA behavior change studies as they shift to more objective assessments of MVPA.
This article uses a history of concept formation focused on Pierre Bourdieu’s probabilism to prov... more This article uses a history of concept formation focused on Pierre Bourdieu’s probabilism to provide the groundwork for a probabilistic sociology. We argue that not only was Bourdieu a probabilist, but that reframing probability along heterodox lines holds empirical promise when it is also linked to new concept formation, as evident in the case of Bourdieu. For the anglophone sociological field, probability is of primary significance for method and epistemic commitment. Sociological theory continues to react to the integral role of probability used for the purposes of sociological knowledge but finds very little in the way of concept formation that does not adopt the same commitments as the methodologists. The history we outline retrieves a different approach, one which finds Bourdieu aligned with objective probability borrowed from the sociology of Max Weber. This version of probabilism locates probability directly in the world and makes it a source of concept formation without the intervention of the methodologists. This article follows Bourdieu as he recognizes objective probability in the work of Weber (around 1973) and then engages in novel concept formation on these grounds. Ranging between spaces of objective probability (fields), spaces of randomness (games of chance), and spaces of determinism (apparatus), Bourdieu’s mature probabilism reveals the conceptual and meta-methodological differences that come with making probability objective. Probabilistic expectations derive from the world itself, rather than existing as part of explanation or method. Specifically, this history of concept formation reveals a looping relation between objective probability (chances) and learned probability (expectations) that, as Bourdieu himself appreciated, holds wide-ranging implications for best knowledge practices and empirical sociological research.
Cyberpsychology, Behavior, and Social Networking, Mar 1, 2022
Fitbit wearable devices provide users with objective data on their physical activity and sleep ha... more Fitbit wearable devices provide users with objective data on their physical activity and sleep habits. However, little is known about how users develop their usage patterns and the key mechanisms underlying the development of such patterns. In this article, we report results from a longitudinal analysis of Fitbit usage behavior among a sample of college students. Survey and Fitbit data were collected from 692 undergraduates at the University of Notre Dame across two waves. We use a structural equation modeling strategy to examine the relationships among three dimensions of Fitbit usage behavior corresponding to three elements of the habit loop model: trust in the accuracy of Fitbit physical activity and sleep data (cue), intensity of Fitbit device use (routine), and adjustment of physical activity and sleep behaviors based on Fitbit data (reward). More than 75 percent of participants trusted the accuracy of Fitbit data and nearly half of the participants reported they adjusted their physical activities based on the data reported by their devices. Participants who trusted the Fitbit physical activity data also tended to trust the sleep data, and those who intensively used Fitbit devices tended to adjust both their physical activities and then sleep habits. Psychological states and traits such as depression, extroversion, agreeableness, and neuroticism help predict multiple dimensions of Fitbit usage behaviors. However, we find little evidence that trust, Fitbit usage, or perceived adjustment of activity or sleep were associated with actual changes in levels of sleep and activity. We discuss the implications of these findings for understanding when and how this new monitoring technology results in changes in people's behavior.
The image of Max Weber as an “interpretivist” cultural theorist of webs of significance that peop... more The image of Max Weber as an “interpretivist” cultural theorist of webs of significance that people use to cope with a meaningless world reigns largely unquestioned today. This article presents a different image of Weber’s sociology, where meaning does not transport actors over an abyss of meaninglessness but rather helps them navigate a world of Chance. Retrieving this concept from Weber’s late writings, we argue that the fundamental basis of the orders sociologists seek to understand is not chaos. Action is rendered interpretable, rather, to the extent persons orient themselves to possibilities and probabilities, which remain real but unknowable. In this framework, interpretation and probability are allies, not antagonists. Weber’s systematic use of the probabilistic notion of Chance as a central resource for concept formation and sociological explanation seriously challenges current understandings of probability as a purely statistical, atheoretical concern. We outline the concep...
How do “instituting” organizations develop and deploy the categories that they use to make instit... more How do “instituting” organizations develop and deploy the categories that they use to make institutional realities happen? This question has received limited attention in the literature with schools having been the primary focus of empirical attention. In this paper we turn to a different sort of instituting organization: a transnational organization with the mission of defining and “consecrating” the cultural heritage of humanity: UNESCO’s World Heritage Committee. We describe the historical emergence of the WHC as well as the origins of the system of categories that it deploys to make the notion of a universal cultural heritage an institutional reality in the natural and cultural realms. We show that—as has been argued in the case of education— the implicit assumptions that go into defining the criteria for “institution” create the conditions for the development of “ascriptive” advantage that dictate (even under the best of intentions) that certain actors will disproportionately benefit. However, we also show that when the institutional conditions are present for the fostering and enforcement of “universalistic” criteria, then the ascriptive effect is greatly attenuated and the instituting action of the organization lives up to its democratic intentions.
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