To find out, we measure co-voting similarity networks in the US Senate and trace individual careers over time. Standard network visualization tools fail on dense highly clustered networks, so we used two aggregation strategies to clarify positional mobility over time. First, clusters of Senators who often vote the same way capture coalitions, and allow us to measure polarization quantitatively through modularity (Newman, 2006; Waugh et al., 2009; Poole, 2012). Second, we use role-based blockmodels (White et al., 1976) to identify role positions, identifying sets of Senators with highly similar tie patterns. Our partitioning threshold for roles is stringent, generating many roles occupied by single Senators. This combination allows us to identify movement between positions over time (specifically, we used the Kernighan–Lin improvement of a Louvain method greedy partitioning algorithm for modularity [Blondel et al., 2008], and CONCOR with an internal similarity threshold for roles; see Supplementary materials for details).

Concern over social scientists’ inability to reproduce empirical research has spawned a vast and rapidly growing literature. The size and growth of this literature make it difficult for newly interested academics to come up to speed. Here, we provide a formal text modeling approach to characterize the entirety of the field, which allows us to summarize the breadth of this literature and identify core themes. We construct and analyze text networks built from 1,947 articles to reveal differences across social science disciplines within the body of reproducibility publications and to discuss the diversity of subtopics addressed in the literature. This field-wide view suggests that reproducibility is a heterogeneous problem with multiple sources for errors and strategies for solutions, a finding that is somewhat at odds with calls for largely passive remedies reliant on open science. We propose an alternative rigor and reproducibility model that takes an active approach to rigor prior to publication, which may overcome some of the shortfalls of the postpublication model.

Background: Early and appropriate use of antenatal care services is critical for reducing maternal and neonatal mortality and morbidity. Yet most women in sub-Saharan Africa, including Uganda, do not seek antenatal care until later during pregnancy. This qualitative study explored pregnant women’s reliance on social ties for information about initiation of antenatal care. Methods: We conducted semi-structured, in-depth interviews with 30 pregnant women seeking their first antenatal care visit at Kawempe Referral Hospital in Kampala, Uganda. Recruitment was done purposively to obtain variation by parity and whether women currently had a male partner. Study recruitment occurred from August 25^th 2020 – October 26^th, 2020. We used thematic analysis following a two-stage coding process, with both deductive and inductive codes. Deductive codes followed the key domains of social network and social support theory. Results: We found that the most important source of information about antenatal care initiation was these women’s mothers. Other sources included their mothers-in-law, female elders including grandmothers, and male partners. Sisters and female friends were less influential information sources about antenatal initiation. One of the primary reasons for relying on their own mothers, mothers-in-law, and elder women was due to these women’s lived experience with pregnancy and childbirth. Trust in the relationship was also an important factor. Some pregnant women were less likely to rely on their sisters or female friends, either due to lack of trust or these women’s lack of experience with pregnancy and childbirth. The advice that pregnant women received from their mothers and others on the ideal timing for antenatal care initiation varied significantly, including examples of misinformation about when to initiate antenatal care. Pregnant women seemed less likely to delay care when more than one social tie encouraged early antenatal care. Conclusions: Educating women’s social networks, especially their mothers, mothers-in-law, and community elders, about the importance of early antenatal care initiation is a promising avenue for encouraging pregnant women to seek care earlier in pregnancy.

The study of social networks is increasingly central to health research for medical sociologists and scholars in other fields. Here, we review the innovations in theory, substance, data collection, and methodology that have propelled the study of social networks and health from a niche subfield to the center of larger sociological and scientific debates. In particular, we contextualize the broader history of network analysis and its connections to health research, concentrating on work beginning in the late 1990s, much of it in this journal. Using bibliometric and network visualization approaches, we examine the subfield’s evolution over this period in terms of topics, trends, key debates, and core insights. We conclude by reflecting on persistent challenges and areas of innovation shaping the study of social networks and health and its intersection with medical sociology in the coming years.