Community Detection in Multi-Layer Networks

In the scope of the current thesis we review and analyse networks that are formed by nodes with several attributes. We suppose that different layers of communities are embedded in such networks, besides each of the layers is connected with nodes' attributes. For example, examine one of a variety of online social networks: an user participates in a plurality of different groups/communities – schoolfellows, colleagues, clients, etc. We introduce a detection algorithm for the above-mentioned communities. Normally the result of the detection is the community supplemented just by the most dominant attribute, disregarding others. We propose an algorithm that bypasses dominant communities and detects communities which are formed by other nodes' attributes. We also review formation models of the attributed networks and present a Human Communication Network (HCN) model. We introduce a High School Texting Network (HSTN) and examine our methods for that network.

Stories of Informal Mentorship: Recognizing the Voices of Mentees in Academic Libraries

Based on the 2014 OLA Super Conference session “Mentorship in Academic Libraries: A Universe of Possibilities,” this article explores the benefits of informal mentorship in its various forms and how librarians are embracing a new way of thinking about mentorship both individually and organizationally. The lived experiences of two professional academic librarians are shared as they argue that informal mentorship offers the opportunity to co-create a meaningful mentorship experience by recognizing the importance of the mentee’s voice. This paper will discuss the value of informal mentorship and how, when certain elements are present within it, this model can allow us to reimagine mentorship in academic libraries. Concepts such as “accidental” mentorship, “purposeful” mentorship, mentorship “network,” and “peer” mentorship are discussed.