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Instructional reform in STEM aims for the widespread adoption of evidence based instructional practices (EBIPS), practices that implement active learning. Research recognizes that faculty social networks regarding discussion or advice about teaching may matter to such efforts. But teaching is not the only priority for university faculty – meeting research expectations is at least as important and, often, more consequential for tenure and promotion decisions. We see value in understanding how research networks, based on discussion and advice about research matters, relate to teaching networks to see if and how such networks could advance instructional reform efforts. Our research examines data from three departments (biology, chemistry, and geosciences) at three universities that had recently received funding to enhance adoption of EBIPs in STEM fields. We evaluate exponential random graph models of the teaching network and find that (a) the existence of a research tie from one faculty member i to another j enhances the prospects of a teaching tie from i to j , but (b) even though faculty highly placed in the teaching network are more likely to be extensive EBIP users, faculty highly placed in the research network are not, dimming prospects for leveraging research networks to advance STEM instructional reforms. [ABSTRACT FROM AUTHOR]

Objectives We aimed to examine scholarly collaboration between oral health and prenatal providers. Oral disease is a silent epidemic with significant public health implications for pregnant women. Evidence linking poor oral health during pregnancy to adverse pregnancy and birth outcomes requires oral health and prenatal providers to communicate on the prevention, treatment and co-management matters pertaining to oral health issues among their pregnant patients. The need for inter-professional collaboration is highlighted by guidelines co-endorsed by the American College of Obstetricians and Gynecologists and the American Dental Association, stressing the importance of oral health care during pregnancy. Methods To assess if interdisciplinary communication occurs between oral health and prenatal disciplines, we conducted a network analysis of research on pregnancy-related periodontal disease. Results Social Network analysis allowed us to identify communication patterns between communities of oral health and prenatal professionals via scientific journals. Analysis of networks of citations linking journals in different fields reveals a core-periphery pattern dominated by oral health journals with some participation from medicine journals. However, an analysis of dyadic ties of citation reveals statistically significant 'inbreeding' tendencies in the citation patterns: both medical and oral health journals tend to cite their own kind at greater-than-chance levels. Conclusions Despite evidence suggesting that professional collaboration benefits patients' overall health, findings from this research imply that little collaboration occurs between these two professional groups. More collaboration may be useful in addressing women's oral-systemic health concerns that result in adverse pregnancy outcomes. [ABSTRACT FROM AUTHOR]

The article describes datasets from network exchange experiments collected at the University of South Carolina Laboratory for Sociological Research during 1989-1998. These datasets record time stamped negotiations between subjects as they seek to complete exchanges with one another. [ABSTRACT FROM AUTHOR]

The article describes datasets from network exchange experiments collected at the University of South Carolina Laboratory for Sociological Research during 1989-1998. These datasets record time stamped negotiations between subjects as they seek to complete exchanges with one another. [ABSTRACT FROM AUTHOR]

We examine the impact of structural embeddedness, operationalized as a third-party effect, on bilateral trade of two goods (apparel and grain) with different levels of product differentiation and transactional uncertainty. Specifically, we test two competing hypotheses for how trade ties to third parties affect trade in a dyad: the balance hypothesis – common third-party contact(s) mediate information flows between two otherwise disconnected actors, thereby encouraging direct dyadic interactions between them and the structural hole hypothesis – such contact inhibits dyadic trade. Our longitudinal analyses of international trade data show that the balance hypothesis is supported in apparel trade (a differentiated good), whereas the structural hole hypothesis tends to be supported in grain trade (a homogeneous good). Implications of the findings are discussed. [ABSTRACT FROM PUBLISHER]

We describe and illustrate methodology for comparing networks from diverse settings. Our empirical base consists of 42 networks from four kinds of species (humans, nonhuman primates, nonprimate mammals, and birds) and covering distinct types of relations such as influence, grooming, and agonistic encounters. The general problem is to determine whether networks are similarly structured despite their surface differences. The methodology we propose is generally applicable to the characterization and comparison of network–level social structures across multiple settings, such as different organizations, communities, or social groups, and to the examination of sources of variability in network structure. We first fit a p[sup *] model (Wasserman and Pattison 1996) to each network to obtain estimates for effects of six structural properties on the probability of the graph. We then calculate predicted tie probabilities for each network, using both its own parameter estimates and the estimates from every other network in the collection. Comparison is based on the similarity between sets of predicted tie probabilities. We then use correspondence analysis to represent the similarities among all 42 networks and interpret the resulting configuration using information about the species and relations involved. Results show that similarities among the networks are due more to the kind of relation than to the kind of animal. [ABSTRACT FROM AUTHOR]

Once confined to networks in which dyads could be reasonably assumed to be independent, the statistical analysis of network data has blossomed in recent years. New modeling and estimation strategies have made it possible to propose and evaluate very complex structures of dependency between and among ties in social networks. These advances have focused exclusively on one-mode networks—that is, networks of direct ties between actors. We generalize these models to affiliation networks, networks in which actors are tied to each other only indirectly through belonging to some group or event. We formulate models that allow us to study the (log) odds of an actor's belonging to an event (or an event including an actor) as a function of properties of the two-mode network of actors' memberships in events. We also provide illustrative analysis of some classic data sets on affiliation networks. [ABSTRACT FROM AUTHOR]

This article proposes a theory to explain how actors in social exchange networks reach agreements on division of resources. Social exchange theory grew. from the application of the economic theory of exchange to social relationships. Sociology focuses on a problematic area for economic theory, the exchange of valued objects in, relatively small groups, where actors seek to settle on one optimal outcome out of a range of possibilities. Central to theoretical development today is a class of networks in which subtle power differences occur. This phenomenon is known as weak power. In these weak power networks, some positions may have advantages over others in acquiring resources through exchange. However, unlike the advantages in strong power networks, advantages in weak power networks are not progressive. Over a series of exchanges, a strong power advantage eventually results in one, exchange partner receiving nearly all available resources. Weak power is limited in range and magnitude. This necessitates theoretical refinement because adequate assessment of power differences between positions in weak power structures requires more, precise predictions of exchange rates at equilibrium.

Actors accumulate resources--wealth--in exchange networks by making frequent and profitable exchanges. Network exchange research offers structural explanations for actors' differential earnings in particular exchanges, but not for the differential frequency with which particular exchanges occur. We address this deficiency by outlining and evaluating three explanations for exchange frequencies. We adapt the first two explanations, a random structure model and a random mutuality model, from existing theories of earnings differentials. The third model, a reciprocity model, offers an explanation based on actors' structurally determined tendencies to reciprocate the attention of others. The frequency with which various exchanges occur is conceptualized as a function of how actors' attempts to exchange with partners are biased by their locations and their partners' in the overall exchange network. Although the reciprocity model generally provides the best fit, our results suggest that the explanatory power of structural factors varies considerably between networks and settings. [ABSTRACT FROM AUTHOR]

Leading theories of power in exchange networks make assumptions about actors' reactions to being included in or excluded from exchanges. These assumptions, that actors consistently included increase their demands on others and that actors consistently excluded decrease their demands, provide the behavioral mechanism by which structural differences in position convert into power advantages or disadvantages. We test these assumptions with data gathered by experiment from five different networks. We find that while actors generally respond as assumed, the parameters of response to inclusion and to exclusion are not symmetric, depend on the level of experience of the subjects, and interact both with type of network (strong power versus weak power) and with network position. [ABSTRACT FROM AUTHOR]

A program of research on the formal representation and analysis of institutional structures is taken a step further by integrating it with recent developments in the formal representation of hierarchical levels of inclusion or part-whole relations. We begin by reviewing a cybernetic conception of action and show how this relates to the construction of production system models of institutional structures. Thereafter, we treat the inclusion hierarchy to show how the production rule constitutes the conceptual unit integrating social knowledge and social action upon which are built two hierarchies, involving institutional entities and social networks, respectively. We indicate some of the detailed forms of control involved in these hierarchies and then show how a form of functional analysis can be undertaken on this basis. Finally, we provide a lengthy discussion of the promise and problems of this mode of structural analysis. [ABSTRACT FROM AUTHOR]

We evaluate four theories that predict the distribution of power in exchange networks. All four theories--core theory, equidependence theory, exchange-resistance theory, and expected value theory--assume actors rationally pursue self-interests. Three of the theories add social psychological assumptions that place the pursuit of self interest in an interactive context. Predictions of exchange earnings by the four theories are evaluated against data from eight experimental networks, including types of networks not previously studied These networks vary conditions that affect the chances that a position can be excluded from exchange. We find that when the theories base predictions on a network position's structural potential for exclusion, exchange-resistance theory provides the best fit, but when predictions are based on actual experiences of exclusion, expected value theory fits best. Our discussion focuses on the distinction between the a priori potential for exclusion versus experienced exclusion as factors in the genesis of power. [ABSTRACT FROM AUTHOR]

We extend network exchange theory (Markovsky, Wilier, and Patton 1988) to accommodate a new class of power phenomena. Previous theory and research have shown that structural configurations in some networks promote or inhibit exchange opportunities, leading to robust power and resource differentials. The extension identifies a structural basis for subtler forms of differentiation. Using computer simulations and laboratory experiments, we show that the degree to which this "weak power" is manifested in resource accumulations is conditioned by local and global network patterns, and by the experience and strategies of actors in the network. Experimental tests corroborate the predicted weak power effects and the consequences of variations in actors' negotiating experiences. [ABSTRACT FROM AUTHOR]

This paper unifies two strands of theoretical method in sociology. On the one hand, the structuralist or network program of research involves the fundamental rule that basic data and analytic procedures of sociology must focus on social relations. This leads to theories about structural stability or change, for example, although the network approach generally has been stronger on technique than on explanatory theory. An interest in theoretical explanation is the basis of the second theoretical method, which is drawn from the expectation states theoretical research program: namely, the idea of a dynamic co-causal process involving an unobservable relational construct termed an expectation state and an observable form of social behavior. The paper outlines the basic ideas of each of these two theoretical methods. It then proposes a new theoretical method which synthesizes the two and whose function is to provide a procedure for constructing explanatory models of social structural stability and change. This new method is termed "E-state structuralism." An extended example is provided of how the method is used to construct a theory, first presenting the theory in axiomatic form and then empirically testing it. The subject matter of the theory is the over-time transformation in the structure of dominance relations among a small group of animals. The paper concludes with a review of how the generic method was exemplified in the particular theory. [ABSTRACT FROM AUTHOR]

Despite the increasing availability of pre-exposure prophylaxis (PrEP), Latinx men who have sex with men (LMSM) are not receiving PrEP-related information. To understand the influence of LMSM sexual networks on PrEP-related conversations and encouragement to use PrEP, this cross-sectional egocentric network study characterized the PrEP-related communication of 130 LMSM egos with 507 sexual partners (alters). Participants were recruited using respondent-driven sampling methods from a Miami-Dade County community-health organization. Egocentric-level data were collected from 2018–2019 and analyzed using multilevel modeling. Of egos, 30% reported using PrEP. Closeness between participants and sexual partners played a role in PrEP conversation and encouragement. Participants believed they would have less success convincing sexual partners to use PrEP if partners were older. Participants perceived higher likelihood to talk about PrEP or success in encouraging alters to use PrEP if, relative to meeting sexual partners on Grindr, they met at a friend's party, gay-centric community event, or school/work. Given that increased closeness and in-person sexual partner meeting venues are associated with PrEP information dissemination and encouragement, social network-based interventions can capitalize on PrEP navigators who run network visualizations, and with this information develop a longitudinal plan to increase PrEP conversation and encouragement as needed for each network. [ABSTRACT FROM AUTHOR]

The article discusses the dataset that represents the printed program of the Sunbelt Conference, the annual meeting of the International Network for Social Network Analysis (INSNA), held in Hamburg, Germany, in May 2013. It explores the process creating the conference program based on submitted abstracts and proposed paper presentations and sessions. The dataset includes several tables used to create the printed and the interactive online program.