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The interplay between network
structure and market effects in Bitcoin
Gábor Vattay
Physics of Complex Systems
Eötvös Loránd University
MIT UC Davies
Ericsson
ELTE ELTEEricsson
ELTE
F. Reid & M. Harrigan
SocialCom2011
Our data is available at
www.vo.elte.hu/bitcoin
nice talks in the morning:
Matthieu Latapy
Laetitia Gauvin
The growth of the Bitcoin network.
Kondor D, Pósfai M, Csabai I, Vattay G (2014) Do the Rich Get Richer? An Empirical Analysis of the Bitcoin Transaction Network.
PLOS ONE 9(2): e86197. https://doi.org/10.1371/journal.pone.0086197
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0086197
NETWORK SCIENCE BASICS
Distribution of time delay between transactions initiated
from a single Bitcoin address.
Evolution of the in-degree distribution.
Slope: -2.18
Evolution of the out-degree distribution.
Slope: -2.06
Evolution of the Gini coefficient of the degree and the balance
distributions.
Evolution of the clustering coefficient and the out-in degree correlation
coefficient.
The average in-degree of neighbors in the function of the out-degree
nodes with high out-degree tend to connect to nodes with low in-degree
Nonlinear preferential attachment
Sub-linear preferential attachment leads to
stretched exponential
Nonlinear preferential attachment
is uniformly distributed in the unit interval, independent of t
Rank function for new link creation.
Kolmogorov-Smirnoff distance
Evolution of the distribution of balances of individual Bitcoin
addresses.
Slope=-1.98
Change of balances in one month windows.
Rank function for the growth of balances.
Average node balances as a function of the indegrees.
PRICE AND TOPOLOGY
PCA for Long Term and Active Users
Singular values
Structural changes in the core
Base networks
Base network contriburions
Singular vectors correlate with
BC exchange price
First singular vector vs. market price
Goodness of fit
Largest eigenvalue vs. largest Pearson
GEOLOCATION
http://www.vo.elte.hu/papers/2017/bitcoin/
PlanetLab: a distributed computerlab
Travel time – distance relation
• reference dataset (nodes with known location)
• distance between the source and destination
• measured RTT
The distances are normally
distributed for a given RTT
each RTT point out a radial profile with
m(d) and s(d) => which defines the
spatial probability distribution of the
target
Evaluation process
Trilateration
Where is the WikiLeaks site (46.59.1.2)?
Spotter
Thank you!
vattay@complex.elte.hu

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Block nets2018

Editor's Notes

  1. During the geolocation we are able to approximate the estimation error by using the average deviation. According to this indicator value the top estimates were selected which results more then 7000 locations. This figure shows thier geographical dispersion, where every dots represents a location of one or more YouTube servers. The dark red points with more than 10 servers identify the larger data centers. 7253 nodes 17% n=1 light pink FFBBBB 31% 2<=n<10 light red CC6666 52% 10<=n red BB2222