How Men and Women Organize Their (Online) Social Networks
Differently
Men and women socialize differently, and it turns out
these gender differences hold true in online games that involve social
interaction.
A new quantitative study of data assembled from the
online multiplayer game Pardus shows how females and males manage their social
networks drastically differently.
"It is fascinating that we maybe see traces of a
million years of social evolution in a computer game," says Santa Fe
Institute External Professor Stefan Thurner, a professor for Complex Systems of
Science at the Medical University of Vienna, who co-wrote the paper with his
colleague Michael Szell, now at MIT.
The paper, "How Women Organize Social Networks
Different from Men," published February 7 in Scientific Reports, finds
many of the same characteristic differences between men and women that are
observed in the real world.
Females have more communication partners, engage in
economic activities to a greater degree, attract positive behavior, organize in
clusters, reciprocate friendships, take fewer risks than men, and show a
preference for stability in local networks.
Males try to talk most often with those who talk with
many, reciprocate friendships with other males much less frequently, and
respond quite quickly to female friendship initiatives.
Online multiplayer games like Pardus, with their detailed
data about players' social interactions and networks, allow researchers to
quantify the online society on a systemic level.
While taking into account the minimal probability of
gender-swapping (an estimated 15 percent, from among the Pardus population of
300,000 players), Thurner and Szell were able to able to assess the networking
behaviors of male and female players.
"In the real world," observes Thurner, "it
is extremely difficult to obtain different types of social networks of a set of
people at the same time with the same resolution, even though we leave
electronic fingerprints almost everywhere nowadays."
As for its possible applications? "One can use these
kinds of insights to do all sorts of things, from marketing to group
formations," says Thurner. "Right now, I would not bet too many
millions on business models based on these findings, but there is
potential."
Thurner's past research of online games has resulted in
other quantitatively derived insights about human social behavior and
structures, from how people decide to migrate, to how positive and negative
behavior spreads through a social network, to how people form relationships.
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