2,891 research outputs found
Individual position diversity in dependence socioeconomic networks increases economic output
The availability of big data recorded from massively multiplayer online
role-playing games (MMORPGs) allows us to gain a deeper understanding of the
potential connection between individuals' network positions and their economic
outputs. We use a statistical filtering method to construct dependence networks
from weighted friendship networks of individuals. We investigate the 30
distinct motif positions in the 13 directed triadic motifs which represent
microscopic dependences among individuals. Based on the structural similarity
of motif positions, we further classify individuals into different groups. The
node position diversity of individuals is found to be positively correlated
with their economic outputs. We also find that the economic outputs of leaf
nodes are significantly lower than that of the other nodes in the same motif.
Our findings shed light on understanding the influence of network structure on
economic activities and outputs in socioeconomic system.Comment: 19 pages, 5 figure
Confirming the 115.5-day periodicity in the X-ray light curve of ULX NGC 5408 X-1
The Swift/XRT light curve of the ultraluminous X-ray (ULX) source NGC 5408
X-1 was re-analyzed with two new numerical approaches, Weighted Wavelet
-transform (WWZ) and CLEANest, that are different from previous studies.
Both techniques detected a prominent periodicity with a time scale of
days, in excellent agreement with the detection of the same
periodicity first reported by Strohmayer (2009). Monte Carlo simulation was
employed to test the statisiticak confidence of the 115.5-day periodicity,
yielding a statistical significance of (or ). The robust
detection of the 115.5-day quasi-periodic oscillations (QPOs), if it is due to
the orbital motion of the binary, would infer a mass of a few thousand
for the central black hole, implying an intermediate-mass black hole
in NGC 5408 X-1.Comment: 6 pages, 2 figures, submitted to Research in Astronomy and
Astrophysics (RAA
Quantifying immediate price impact of trades based on the -shell decomposition of stock trading networks
Traders in a stock market exchange stock shares and form a stock trading
network. Trades at different positions of the stock trading network may contain
different information. We construct stock trading networks based on the limit
order book data and classify traders into classes using the -shell
decomposition method. We investigate the influences of trading behaviors on the
price impact by comparing a closed national market (A-shares) with an
international market (B-shares), individuals and institutions, partially filled
and filled trades, buyer-initiated and seller-initiated trades, and trades at
different positions of a trading network. Institutional traders professionally
use some trading strategies to reduce the price impact and individuals at the
same positions in the trading network have a higher price impact than
institutions. We also find that trades in the core have higher price impacts
than those in the peripheral shell.Comment: 6 pages including 3 figures and 1 tabl
Division of labor, skill complementarity, and heterophily in socioeconomic networks
Constituents of complex systems interact with each other and self-organize to
form complex networks. Empirical results show that the link formation process
of many real networks follows either the global principle of popularity or the
local principle of similarity or a tradeoff between the two. In particular, it
has been shown that in social networks individuals exhibit significant
homophily when choosing their collaborators. We demonstrate, however, that in
populations in which there is a division of labor, skill complementarity is an
important factor in the formation of socioeconomic networks and an individual's
choice of collaborators is strongly affected by heterophily. We analyze 124
evolving virtual worlds of a popular "massively multiplayer online role-playing
game" (MMORPG) in which people belong to three different professions and are
allowed to work and interact with each other in a somewhat realistic manner. We
find evidence of heterophily in the formation of collaboration networks, where
people prefer to forge social ties with people who have professions different
from their own. We then construct an economic model to quantify the heterophily
by assuming that individuals in socioeconomic systems choose collaborators that
are of maximum utility. The results of model calibration confirm the presence
of heterophily. Both empirical analysis and model calibration show that the
heterophilous feature is persistent along the evolution of virtual worlds. We
also find that the degree of complementarity in virtual societies is positively
correlated with their economic output. Our work sheds new light on the
scientific research utility of virtual worlds for studying human behaviors in
complex socioeconomic systems.Comment: 14 Latex pages + 3 figure
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