Co-hosted by the Dialog Group
Influence plays a central role in marketing, politics, and management. In these contexts, the exertion of influence almost always involves adaptive heterogeneous agents interacting through networks. How does network structure impact the dissemination of influence, ideas, and illness through such networks? How can data be used to identify meaningful network structures? Can big data be combined with information theory to predict, or "nowcast," the evolution of these network structures? How can firms measure and mitigate the complexity of the systems through which they exert influence?
This SFI ACtioN Topical Meeting, co-hosted with the Dialog Group, will explore ways in which insights from network theory and other areas of complex systems science can inform our understanding of influence. Presenters will include complexity scholars as well as practitioners who use complex systems to address these issues. The meeting will employ a 50-50 format: equal time will be given to presentations and moderated discussions with the meeting's participants.