It is commonly agreed that trust is a crucial concept in many applications, especially in networks that connect people together. However, trust is a broad concept, studied from many different perspectives in different fields of Computer Science. Is "trust" a field of study or a combination of many different but unrelated areas of study? Can we combine different trust definitions to develop more sophisticated networked applications? To this date, there is little work on understanding how trust in such complex networks can be studied.
This talk will review the literature in social sciences and draw parallels with the computing literature to show that there are in fact commonalities in the way trust is modeled in different fields. The differences point to the contextual aspect of trust. Furthermore, examples will be given to illustrate that by understanding the contextual differences we can develop better algorithms and discuss some future problems in this area.
Bio: Sibel Adalı is an Associate Professor at Rensselaer Polytechnic Institute. Her work concentrates on cross-cutting problems related to trust, information processing and retrieval and social networks. As part of her work, she has worked as the ARL-lead Collaborative Technology Alliance (CTA) wide Trust Coordinator, Social and Cognitive Networks Academic Research Center (SCNARC) Associate Director. She is the author of a book on "Modeling Trust Context in Networks", released in 2013 by Springer. Sibel has a PhD from the University of Maryland at College Park and a B.S. from Bilkent University in Ankara, Turkey.