Friday, March 29
Thu
Apr
06

Control and spread of contagion in networks with global effects

Speakers:

Tarun SabarwalUniversity of Kansas

 
06
April,
2023
06:45 PM to 08:15 PM (IST)

Abstract
We study proliferation of an action in binary action network coordination games that are generalized to include global effects. This captures important aspects of proliferation of a particular action or narrative in online social networks, providing a basis to understand their impact on societal outcomes. Our model naturally captures complementarities among starting sets, network resilience, and global effects, and highlights interdependence in channels through which contagion spreads. We present new, natural, computationally tractable, and efficient algorithms to define and compute equilibrium objects that facilitate the general study of contagion in networks and prove their theoretical properties. Our algorithms are easy to implement and help to quantify relationships previously inaccessible due to computational intractability. Using these algorithms, we study the spread of contagion in scale-free networks with 1,000 players using millions of Monte Carlo simulations. Our analysis provides quantitative and qualitative insight into the design of policies to control or spread contagion in networks. The scope of application is enlarged given the many other situations across different fields that may be modeled using this framework.

(Joint with John Higgins)

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Date & Time

06-04-2023
06:45 PM
to 08:15 PM (IST)

Location

IEG

Event Type

IEG Seminar

Event Category

Past event

Speaker(s)

Tarun Sabarwal

University of Kansas

Moderator(s)

Oindrila De

Assistant Professor