iSchools and Social Identity ??? A Social Network Analysis

We analyze the publication co-authorship network of an iSchool faculty community using ???Social Identity Theory??? as the theoretical lens. Initially, we discuss the need for a theoretical framework to analyze and interpret social network data. Then, we find out the patterns in the levels of interaction happening within the faculty community at an inter-group level. We grouped faculty members into different clusters according to several parameters such as their educational backgrounds, affiliations with research centers/labs, and h-indices. We based our analysis on this classification and we try to understand the relationship among social identity, group affiliation and academic collaborations. We conclude with the remarks that one could avoid idiosyncratic ways of interpreting social network data by using a proven theoretical lens like ???Social Identity Theory??

What Others Say About This Work? Scalable Extraction of Citation Contexts from Research Papers

This work presents a new, scalable solution to the problem of extracting citation contexts: the textual fragments surrounding citation references. These citation contexts can be used to navigate digital libraries of research papers to help users in deciding what to read. We have developed a prototype system which can retrieve, on-demand, citation contexts from the full text of over 15 million research articles in the Mendeley catalog for a given reference research paper. The evaluation results show that our citation extraction system provides additional functionality over existing tools, has two orders of magnitude faster runtime performance, while providing a 9% improvement in F-measure over the current state-of-the-art

TRUSTING THE PHARMACIST IN DELIVERING MEDICATION INFORMATION: A COMMUNITY-BASED PERSPECTIVE

Objective: Optimal disease management is influenced by a solid patient-health provider relationship; which includes trust in the provider. The study compares respondents’ trust in pharmacists and physicians for the delivery of drug information. Methods: Residents of 3 rural communities in Lebanon, aged 40 and above, were invited to participate in the study, 760 accepted. Participants were asked who they trust the most with information about their medication: their physician or their pharmacist. Results: Of the total sample, 154 chose the pharmacist as their most trusted source of medication information (20%). Characteristics associated with choosing the pharmacist were: being a male (29.3% vs 16.2% p<.001), of younger age (31.5% among<50 y, 18.8% among 50-64 y, and 14.6% among 65+years p<.001), single (31.6% vs 21.9% married and 9.3 others, p=0.023), working (39.2% vs15.7% p<.001), and insured (2.3% vs 16.4% p=0.048). The multivariate logistic regression model revealed that having a family member with hypertension (OR=1.86 95% 1.23-2.82), or cardiovascular (OR=3.39 95%CI 1.55-7.45) increased the likelihood of trusting pharmacists over medical doctor. On the other hand, a self-report of cardiovascular disease (OR=0.34 95% CI 0.12-0.95) and taking medication (OR=0.41 95% CI 0.25-0.67) were associated with a decrease in the trust in the pharmacist in favor of the physician. Conclusion: Although pharmacists are the drug specialists, the majority of the Lebanese rural community residents reported higher trust in their physicians with information about their medication(s)