Information Aggregation and Transmission in Strategic Networks

Working Paper: NBER ID: w30585

Authors: Fanchin Kung; Ping Wang

Abstract: Observing the increasingly important roles played by the creation and transmission of information and tacit knowledge, we construct an information-network model incorporating both information transmitters and information aggregators. Given information-processing roles in aggregation or transmission, we establish various general properties concerning the existence of a network equilibrium, its optimality and the patterns of equilibrium and optimal configuration. We then allow for endogenous choice of the information-processing roles. We prove the existence and show that, with sufficiently small link maintenance costs, the monocentric network with one aggregator connecting to all other agents as transmitters on a tree graph is the unique configuration. In general, a rich array of equilibrium configurations may emerge, including core-star, star-with-satellites and cycles. We further characterize an information-processing chain network with all information aggregators and transmitters linked along a chain and compute numerically the ranges of transmission decays and link costs within which a network equilibrium arises.

Keywords: Information Networks; Knowledge Transmission; Network Equilibria; Information Aggregation

JEL Codes: C7; D20; D83


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
link maintenance costs (R42)monocentric network structure (D85)
endogenous choice of roles (D91)overall network efficiency and structure (D85)
equilibrium network with endogenous roles (D85)various configurations (Y91)
number of aggregators (C43)cycles in equilibrium (C62)
specific conditions (C62)emergence of beneficial network structures (D85)

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