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Information Networks and their Dynamics Srinath Srinivasa IIIT Bangalore  and  Oktave Research Foundation [email_address]
Partially based on the book ,[object Object]
Recent new additions to our vocabulary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The “information age” ,[object Object],[object Object],[object Object],[object Object]
The information age Material exchange network Information exchange network Internet, mobile, databases, etc Then Now
Material exchange ,[object Object],[object Object],[object Object],[object Object]
Information exchange with today’s ICTs ,[object Object],[object Object],[object Object],[object Object],[object Object]
Information Networks ,[object Object],[object Object],[object Object],[object Object]
Outline ,[object Object],[object Object],[object Object]
Part I Information Networks and the Power Law Distribution
Distribution of marks in an exam ,[object Object],[object Object],[object Object],[object Object],[object Object]
Distribution of email recipients ,[object Object],[object Object],[object Object],[object Object]
The Power Law distribution ,[object Object],[object Object],[object Object],[object Object]
Underlying random processes ,[object Object],[object Object],[object Object],1 2 3 4 1 2 3 4
Power Laws in nature ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Characteristics of the Power Law ,[object Object],[object Object],[object Object]
Characteristics of the Power Law ,[object Object],[object Object],[object Object],[object Object]
Other pertinent distributions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Other pertinent distributions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Other pertinent distributions ,[object Object],[object Object],[object Object],[object Object],[object Object]
Part II Underlying Dynamics
Non-linearity ,[object Object],[object Object],[object Object],[object Object]
Non-linearity: growth ,[object Object],[object Object]
Non-linearity: saturation ,[object Object],[object Object],[object Object]
Logistic equation in everyday terms ,[object Object],[object Object],[object Object],[object Object],[object Object]
Sensitivity to initial conditions ,[object Object]
Sensitivity to initial conditions
Sensitivity to initial conditions ,[object Object],[object Object],[object Object],[object Object]
Preferential attachment The population distribution among the cells follows a power law
Impact of growth rate on dynamics
Impact of growth rate on dynamics r = 3.0 r = 3.1 r = 3.2 r = 3.5
Impact of growth rate on dynamics r = 3.7 r = 3.9
Period doubling and chaos ,[object Object],[object Object],[object Object],[object Object]
Period doubling in the logistic equation
Attractors ,[object Object],[object Object],[object Object],[object Object]
Emergent Attractors
Emergent Attractors
Emergent Attractors
Scale-invariant attractors
Scale-invariant attractors
Part III Social information networks
Outline for Part III ,[object Object],[object Object],[object Object],[object Object],[object Object]
Machines Societies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Machines of nature – living beings – are more like societies rather than machines
Social information networks ,[object Object],[object Object],[object Object]
Random graphs ,[object Object],[object Object],[object Object],[object Object],[object Object]
Random graphs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Largest connected component
Largest connected component ,[object Object],[object Object],[object Object]
Random graph diameter
Random graph diameter ,[object Object],[object Object],[object Object],[object Object]
Clustered graphs ,[object Object],[object Object],[object Object]
Clustered graphs in metric spaces ,[object Object],[object Object],[object Object]
Clustered graphs in metric spaces ,[object Object]
Clustered graphs in metric spaces ,[object Object],[object Object],[object Object]
Clustered graphs in metric spaces ,[object Object],[object Object],[object Object]
Kleinberg connectivity ,[object Object],[object Object],[object Object]
Kleinberg connectivity ,[object Object],[object Object],[object Object]
Information cascades ,[object Object],[object Object],[object Object],[object Object]
Asch conformity experiment
Asch conformity experiment ,[object Object],[object Object]
Conformity and cascades A is more likely to adopt a new idea spreading through the network as compared to B
Information cascades An idea originating from ‘a’ cascades to b, c and h when the conformity threshold is 0.5. It never cascades to ‘d’ because d is under pressure to conform to status quo from e, f and g.
Information cascades ,[object Object],[object Object],[object Object]
Emergence of network topology [Venkatasubramanian et. al 2004] ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Emergence of network topology ,[object Object],[object Object],[object Object]
Emergence of network topology ,[object Object],[object Object],[object Object],[object Object],[object Object]
Emergence of network topology ,[object Object],[object Object],[object Object]
Emergence of network topology ,[object Object],[object Object],[object Object]
Emergence of network topology ,[object Object],[object Object],[object Object]
Perceived value and saturation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Perceived value and saturation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Perceived value and saturation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Perceived value and saturation ,[object Object],[object Object],[object Object],[object Object],[object Object]
The power-law network is hence an  optimal  network topology in frictionless transactions arising out of a number of individual decisions aiming to maximize value and minimize uncertainty!
Thank You! Q & A
Further reading ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Information Networks And Their Dynamics