Influence, Complexity and Networks: Difference between revisions
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'''Summary:''' Influence plays a central role in marketing, politics, and management. The exertion of such 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 the structure of these networks? 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? | '''Summary:''' | ||
'''Influence, Complexity & Networks: New views for Business, Politics, Innovation and Growth''' | |||
Influence plays a central role in marketing, politics, and management. The exertion of such 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 the structure of these networks? 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, cohosted with the Dialog Group, will explore ways in which insights from network theory and other areas of complex systems science can inform our understanding influence. Presenters will include both complexity scholars as well as practitioners who use complex systems to address these issues. The meeting will employ a 50%/50% format, through which equal time will be given to presentations and moderated discussions with the meeting's participants. | This SFI ACtioN Topical Meeting, cohosted with the Dialog Group, will explore ways in which insights from network theory and other areas of complex systems science can inform our understanding influence. Presenters will include both complexity scholars as well as practitioners who use complex systems to address these issues. The meeting will employ a 50%/50% format, through which equal time will be given to presentations and moderated discussions with the meeting's participants. | ||
Revision as of 20:16, 9 January 2017
| ACtioN Navigation |
Co-hosted by Dialog Group
Held at The Long Center, 701 W. Riverside Drive, Austin, TX 78704
Thursday, February 23, 2017
Summary:
Influence, Complexity & Networks: New views for Business, Politics, Innovation and Growth Influence plays a central role in marketing, politics, and management. The exertion of such 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 the structure of these networks? 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, cohosted with the Dialog Group, will explore ways in which insights from network theory and other areas of complex systems science can inform our understanding influence. Presenters will include both complexity scholars as well as practitioners who use complex systems to address these issues. The meeting will employ a 50%/50% format, through which equal time will be given to presentations and moderated discussions with the meeting's participants.