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Contents. IntroductionExamples of Six Degrees of SeparationJustification of Six DegreesScale Free NetworkConclusion. . . Introduction. Do you have an experiment such that new acquaintance for you is your friend's friend?Have you ever said
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1. Small World Six Degrees of Separation- Teruhiko Yoneyama
3. Introduction Do you have an experiment such
that new acquaintance for you is
your friends friend?
Have you ever said
Whats a Small World!! ?
4. Introduction Question:
For given any two persons in
the worlds, how many
intermediate people are
needed to connect the two person?
5. Example 1 Stanley Milgrams Experiment;
He sent mails to random people in
Kansas and Nebraska, and asked
them to readdress the mail to
their acquaintance who may know
the target person in Boston.
7. Average Number of Intermediate
people is 5.5
8. Example 2 Erdos Number:
Paul Erdos is very famous mathematician
who published 1500 papers. Many
Researchers are proud of being his
collaborator.
A person who writes a paper with him has
Erdos Number of 1.
A person who writes a paper with a person
whose Erdos Number is 1 has Erdos
Number of 2. And so on.
11. Justification of Six Degrees In both examples, the number of
degree of separation is less than 6.
Is this value reasonable?
Suppose the total population in
this world is 6.5 billion and each
person have 50 acquaintances.
12. What is the degree number? Degree 1 A person links 50 people
Degree 2 = 250 people
:
Degree 5 = 0.31 billion people
Degree 6 = 15.6 billion people
Six degrees are enough for 6.5 billion.
13. Why is the degree so small? Suppose each node has averagely k links
in the network.
That is, there are k nodes which are
reached with 1 step from a typical node.
There are nodes with 2 steps.
There are nodes with 3 steps.
There are nodes with d steps.
14. Why is the degree so small? Each node has averagely k links.
There are nodes with d steps.
If k is big, the number of reachable
nodes becomes very large, even if d is
small.
15. Average Distance Let N be the number of nodes in network.
is not more than N.
Suppose ,
then we obtain the formula for average
distance, d by
16. If degree is six
How many people should ONE person
know so that all people in the world
completely connect?
With d=6 and =6.5 billion,
Then .
and .
Therefore 44 people are enough for the
number of one persons acquaintance.
17. Random vs Scale Free Network So far, we considered this world as Random
network.
However, we know;
-Some people have more chance to meet
with new acquaintance than other normal
people do.
-Some portal sites, such as Yahoo! and MSN,
is linking with more sites than other normal
sites are.
18. Random vs Scale Free Network Characteristics of Scale Free Network
-Richer gets richer
then,
-Hub node appears
19. Random vs Scale Free Network
20. Scale Free Network Developing Scale Free Network
New node precedes to select the node which has
more nodes compared with other nodes.
21. Scale Free Network
22. Map of Internet
23. FSN makes the degree be smaller Scale Free Network makes the degree
of distance of nodes be smaller since
one person have more chance to
connect with others through hub nodes.
Therefore, this world becomes more
smaller.
24. Bad effect of Hub node One example is epidemic of AIDS.
If there is one person who has frequent sexual
intercourse with many people, and if the person is infected by
HIV, then the many people gets risk through the person.
Also such person has usually higher risk to be infected
because of large number of link.
Computer virus is also this case. A significant site has higher
risk to be invaded and has more possibility to scatter the virus
to other sites.
In other words, hub node has more
influence to other node and more influence
from other nodes.
25. Conclusion Increasing population, N, doesnt matter
for the degree of separation, d, because
of logarithm of N. However the number of
one persons average acquaintance, k, is an
important factor.
Progress of technologies, such as
transportation and Internet, will make our
world be smaller.
26. References -Stanley Milgram, 1977, The Individual in a Social World
-Mark Buchanan, 2002, Nexus: Small World and the Groundbreaking Science of Networks
-Albert L. Barabasi, 2002, LINKED: The New Science of Networks
-Erdos Number Project, http://www.oakland.edu/enp/index.html
-Internet Mapping Project, http://research.lumeta.com/ches/map/gallery/index.html