System Design for an Online Social Networking App with a Notification and Recommender System to Build Social Capital in a University Setting

Social capital in higher education commuter institutions may be declining because fewer students remain on campus. Social capital is the network of relationships in a group. Higher social capital is derived from broader and more complex networks. Social networks can grow because members who belong to a particular group possess a sense of community. If students spend less time on campus, their sense of community may decrease, because they would be less likely to participate in the community. This puts Higher Ed commuter institutions at a disadvantage in terms of generating and maintaining social capital. We investigate the possibility to counter this disadvantage by actively promoting participating in an Online Social Network (OSN); specifically, with the use of a Notification and Recommender System (NARS) in an OSN via a mobile platform. Our results suggest that introducing a purposefully designed OSN has the potential to facilitate creation of structural and relational social capital, but that it might not have an effect on cognitive social capital

Community Design of a Knowledge Graph to Support Interdisciplinary PhD Students

This is the submitted version of the paper, pre-revision.How do PhD students discover the resources and relationships conducive to satisfaction and success in their degree programs? This study proposes a community-grounded, extensible knowledge graph to make explicit and tacit information intuitively discoverable, by capturing and visualizing relationships between people based on their activities and relations to information resources in a particular domain. Students in an interdisciplinary PhD program were engaged through three workshops to provide insights into the dynamics of interactions with others and relevant data categories to be included in the graph data model. Based on these insights we propose a model, serving as a testbed for exploring multiplex graph visualizations and a potential basis of the information system to facilitate information discovery and decision-making. We discovered that some of the tacit knowledge can be explicitly encoded, while the rest of it must stay within the community. The graph-based visualization of the social and knowledge networks can serve as a pointer toward the people having the relevant information, one can reach out to, online or in person