Mark Anthony Hoffman
Assistant Professor of Sociology
Academic Appointments
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Assistant Professor, Sociology
2022-23 Courses
- Computational Sociology
EDUC 317, SOC 317W (Aut, Win, Spr) - Introduction to Computational Social Science
SOC 10 (Aut) - Methods for Network Analysis
SOC 379 (Aut) -
Independent Studies (10)
- Coterminal MA directed research
SOC 291 (Aut, Win) - Coterminal MA individual study
SOC 290 (Aut, Win) - Coterminal MA research apprenticeship
SOC 292 (Aut, Win) - Curricular Practical Training
SOC 392 (Aut, Win) - Graduate Directed Research
SOC 391 (Aut, Win) - Graduate Individual Study
SOC 390 (Aut, Win) - Senior Thesis
SOC 196 (Aut, Win, Spr) - Undergraduate Directed Research
SOC 191 (Win) - Undergraduate Individual Study
SOC 190 (Win) - Undergraduate Research Apprenticeship
SOC 192 (Win)
- Coterminal MA directed research
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Prior Year Courses
2021-22 Courses
- Introduction to Computational Social Science
SOC 10 (Aut) - Methods for Network Analysis
SOC 379 (Aut) - Sociology Colloquium
SOC 396 (Aut, Win, Spr)
2020-21 Courses
- Computational Sociology
EDUC 317, SOC 317W (Aut, Win, Spr) - Introduction to Computational Social Science
SOC 10 (Sum) - Methods for Network Analysis
SOC 379 (Sum) - Sociology Colloquium
SOC 396 (Aut, Win, Spr)
2019-20 Courses
- Introduction to Computational Social Science
SOC 10 (Win) - Methods for Network Analysis
SOC 379 (Win)
- Introduction to Computational Social Science
All Publications
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The Materiality of Ideology: Cultural Consumption and Political Thought after the American Revolution(1)
AMERICAN JOURNAL OF SOCIOLOGY
2019; 125 (1): 1–62
View details for DOI 10.1086/704370
View details for Web of Science ID 000472682100001
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The (Protestant) Bible, the (printed) sermon, and the word(s): The semantic structure of the Conformist and Dissenting Bible, 1660-1780
POETICS
2018; 68: 89–103
View details for DOI 10.1016/j.poetic.2017.11.002
View details for Web of Science ID 000437999600007
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Neural precursors of future liking and affective reciprocity
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
2018; 115 (17): 4375–80
Abstract
Why do certain group members end up liking each other more than others? How does affective reciprocity arise in human groups? The prediction of interpersonal sentiment has been a long-standing pursuit in the social sciences. We combined fMRI and longitudinal social network data to test whether newly acquainted group members' reward-related neural responses to images of one another's faces predict their future interpersonal sentiment, even many months later. Specifically, we analyze associations between relationship-specific valuation activity and relationship-specific future liking. We found that one's own future (T2) liking of a particular group member is predicted jointly by actor's initial (T1) neural valuation of partner and by that partner's initial (T1) neural valuation of actor. These actor and partner effects exhibited equivalent predictive strength and were robust when statistically controlling for each other, both individuals' initial liking, and other potential drivers of liking. Behavioral findings indicated that liking was initially unreciprocated at T1 yet became strongly reciprocated by T2. The emergence of affective reciprocity was partly explained by the reciprocal pathways linking dyad members' T1 neural data both to their own and to each other's T2 liking outcomes. These findings elucidate interpersonal brain mechanisms that define how we ultimately end up liking particular interaction partners, how group members' initially idiosyncratic sentiments become reciprocated, and more broadly, how dyads evolve. This study advances a flexible framework for researching the neural foundations of interpersonal sentiments and social relations that-conceptually, methodologically, and statistically-emphasizes group members' neural interdependence.
View details for DOI 10.1073/pnas.1802176115
View details for Web of Science ID 000430697500053
View details for PubMedID 29632195
View details for PubMedCentralID PMC5924932
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Bringing Anomie Back In: Exceptional Events and Excess Suicide
SOCIOLOGICAL SCIENCE
2015; 2: 186–210
View details for DOI 10.15195/v2.a10
View details for Web of Science ID 000436987000008