Social capital and relationship maintenance: uses of social media among the South Asian Diaspora in the U.S.

This study uses the framework of bridging and bonding social capital to explore how South Asian immigrants to the U.S. negotiate relationships amongst three social groups: their ties in their home country, their ties to Americans, and their ties to other South Asian immigrants living in the U.S. In so doing, it develops a model for immigrant social media use that contributes to an ongoing reassessment of the notion of community.     

Effects of the COVID-19 pandemic on caregiver mental health and the child caregiving environment in a low-resource,rural context

Early child development has been influenced directly and indirectly by the COVID-19 pandemic, and these effects are exacerbated in contexts of poverty. This study estimates effects of the pandemic and subsequent population lockdowns on mental health, caregiving practices, and freedom of movement among female caregivers of children 6–27 months (50% female), in rural Bangladesh. A cohort (N = 517) was assessed before and during the pandemic (May–June, 2019 and July–September, 2020). Caregivers who experienced more food insecurity and financial loss during the pandemic reported larger increases in depressive symptoms (0.26 SD, 95% CI 0.08–0.44; 0.21 SD, 0.04–0.40) compared to less affected caregivers. Stimulating caregiving and freedom of movement results were inconsistent. Increases in depressive symptoms during the pandemic may have consequences for child development.     

School drop out in Bangladesh: Insights using panel data

This paper examines the relative strength of different factors associated with school drop out using data collected between 2007 and 2009 in Bangladesh. A sample of 9046 children, aged 4–15, was selected across six districts for a household survey focusing on children's school access and experiences. Two groups of children were identified: those who were enrolled in school in both 2007 and 2009 and those who dropped out by 2009. Using a multivariate logit model, results show age and gender, together with financial constraints, such as lack of income and school expenditure, as the top predictors of school drop out. Two other important predictors are lack of parental support for children's school work and school absenteeism. This paper identifies some possible interventions that could reduce school drop out. These include campaigns to reduce late entry and overage enrolment, reductions in direct costs of schooling, and more support for low achieving children to compensate for lack of educational support at home.     

Troubling “understanding mathematics in-depth”: Its role in the identity work of student-teachers in England

In this paper, we focus on an initiative in England devised to prepare non-mathematics graduates to train as secondary mathematics teachers through a 6-month Mathematics Enhancement Course (MEC) to boost their subject knowledge. The course documentation focuses on the need to develop “understanding mathematics in-depth” in students in order for them to become successful mathematics teachers. We take a poststructural approach, so we are not interested in asking what such an understanding is, about the value of this approach or about the effectiveness of the MECs in developing this understanding in their participants. Instead we explore what positions this discourse of “understanding mathematics in-depth” makes available to MEC students. We do this by looking in detail at the “identity work” of two students, analysing how they use and are used by this discourse to position themselves as future mathematics teachers. In doing so, we show how even benign-looking social practices such as “understanding mathematics in-depth” are implicated in practices of inclusion and exclusion. We show this through detailed readings of interviews with two participants, one of whom fits with the dominant discourses in the MEC and the other who, despite passing the MEC, experiences tensions between her national identity work and MEC discourses. We argue that it is vital to explore “identity work” within teacher education contexts to ensure that becoming a successful mathematics teacher is equally available to all.     

Betweenness centrality as a driver of preferential attachment in the evolution of research collaboration networks

We analyze whether preferential attachment in scientific coauthorship networks is different for authors with different forms of centrality. Using a complete database for the scientific specialty of research about “steel structures,” we show that betweenness centrality of an existing node is a significantly better predictor of preferential attachment by new entrants than degree or closeness centrality. During the growth of a network, preferential attachment shifts from (local) degree centrality to betweenness centrality as a global measure. An interpretation is that supervisors of PhD projects and postdocs broker between new entrants and the already existing network, and thus become focal to preferential attachment. Because of this mediation, scholarly networks can be expected to develop differently from networks which are predicated on preferential attachment to nodes with high degree centrality.     

Exploring user acceptance of technology using social networks

The technology acceptance model (TAM) has been widely used to study user acceptance of new computer technologies. However, it does not incorporate social structure and influence as a significant factor. In this study, we ask the following questions: (i) What are the limitations of the existing TAM for studying virtual community? (ii) What is effect of social networks on user acceptance of technology for virtual community? and (iii) How can the influence of different types of social ties serve as a basis for exploring the user acceptance of technology in a virtual community? Here, we explore the possibility for extending TAM to incorporate the influence of the different types of social ties as a new theoretical construct. Preliminary analysis of data from a virtual community results show that weak and strong ties influence technology acceptance. The findings enable HCI researchers to account for influence of social ties in future investigations using TAM.     

The social networks of collaborative process

We present a study exploring the connection between social networks and collaborative process. We focus on exploring academics' network position and its effect on their collaborative networks. In this paper, we discuss two types of networks of collaboration—(i) citation; and, (ii) co authorship. We explore the effects of social networks on these two types of collaborative process. By defining network position in this way, we develop a social network that uses the academics as nodes within the network instead of each published paper. We obtained the collaboration data through archival records (i.e. Web of Science) and examined the interactions among different actors from the archival records for determining the existence and strength of relations between actors.     

Complex adaptive information flow and search transfer analysis

Studying information flow between node clusters can be conceptualised as an important challenge for the knowledge management research and practice community. We are confronted with issues related to establishing links between nodes and/or clusters during the process of information flow and search transfer in large distributed networks. In the case of missing socio-technical links, social networks can be instrumental in supporting the communities of practice interested in sharing and transferring knowledge across informal links. A comprehensive review of methodology for detecting missing links is provided. The proportion of common neighbours was selected as best practice to elicit missing links from a large health insurance data set. Weights were based on geographical arrangements of providers and the dollar value of transactions. The core network was elicited based on statistical thresholds. Suspicious, possibly fraudulent, behaviour is highlighted based on social network measures of the core. Our findings are supported by a health insurance industry expert panel.