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Double Auction on Diffusion Network

AAAI 2024 · Learning theory and algorithms › Submodular and game algorithms · approach: Matching markets and welfare · 1 citations (OpenAlex)

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Proposes Dynamic Trade Reduction (DTR), an incentive-compatible, individually rational, weakly budget-balanced double auction on a social network that incentivizes traders to invite neighbours, and adapts it to multi-unit one-sided auctions.

Problem

Designing double auctions on social networks where buyers and sellers are competitors, so they must be incentivized to invite their neighbours while remaining truthful and not running a deficit.

Approach

Dynamic trade reduction iteratively uses a reserve-price variant of McAfee's trade reduction on the currently active traders; traders who cannot trade for sure are allowed to invite their neighbours, and the process repeats until no new traders join. This makes invitation dominant without relying on resale-based payment differences.

Key results

Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace MTR with DTR, dynamically expanding the trader setDouble auction on a diffusion network · Initial traders only, without diffusionsocial welfareHelped
replace MTR with DTR, dynamically expanding the trader setDouble auction on a diffusion network · Initial traders only, without diffusionnumber of transactionsHelped
replace MTR with DTR, dynamically expanding the trader setDouble auction on a diffusion network · Initial traders only, without diffusionrevenueHelped
use DTR instead of MTR for the network auctionDouble auction on a diffusion network · Small-world networks with c ≥ 0.03social welfareHelped
increase the number of initial traders while using DTRDouble auction on a diffusion network · Small-world networks with |N0| ≥ 200social welfareHelped
apply MTR directly without accounting for the trader networkMcAfee’s trade reduction on a network · Double auction on a social networkincentive compatibilityHurt
use DTR with dynamic trade reduction and reserve pricesDouble auction on a diffusion network · All report profilesmarket-owner revenueHelped

Surprising findings

Limitations

Experimental setup

Datasets: synthetic small-world networks with random valuations from {0,...,10000}

Metrics: social welfare ratio to optimal number of transactions revenue

Baselines: McAfee's trade reduction (initial traders only) optimal social welfare LDM-Tree MUDAN

Builds on: McAfee trade reduction VCG mechanism Li et al. 2017 single-item diffusion auction Watts-Strogatz small-world model

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