WhatIsNetworkScience2 THE ONLY ONE024Def.pptx

What is Network Science?
07/11/2024 1
Alfonso Meléndez

Nodes
Links
What is a Network?

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3
Nodes

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And Links
4

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Common Language

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Difefrence between Networks and
Graphs
A network is a Graph with Semantics:
Graph Network

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Terminology
•Mathematics: graph/vertex/edge
•Physics: network/node/edge
•Comp Science: network/node/link
•Social Science : network/actor/tie

Examples of Networks

Social Networks
Video School Relations

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Social Networks
James Moody(2004)
High School Friendship
High School Dating (AIDS)
Video Moliere Theater

Social Networks(Facebook-Twitter)
Animated Networks

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Dolphins
Mark Newman
Veritasium Small World Networks

Technological Networks (Internet)

Technological Networks ( www)

Knowledge Networks (Co-citation)
Two papers are
co-cited if they
are both cited
by the same,
third paper

Economic Networks
Amount of
Trade
between
some
European
Countries
and Japan

Terrorist Networks
(Saddam Hussein)

Transportation Networks

Transportation Networks
Dynamic Network: https://www.youtube.com/watch?v=ttH7sQ48n5k

Biological Networks
Celegans
Neumatode

Neural Networks

Power of Networks
Behind each
Complex System
there is a network
defining the systems
Interactions
Link to Fire
Fly Model

Applications

Robustness of a Network
1.

Link to Model
Robustness
Random Attack Hub Attack

Diffusion on a Network
2.

Biological and
Social Contagion
Small World Model
Diffusion Network Models

Predictions
3.

Link to Model
High School Example

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Zachary’s Karate Club
• The network captures 34 members of a
karate club, documenting links between
pairs of members who interacted outside
the club.
• During the study a conflict arose between
the administrator "John A" and instructor
"Mr. Hi“, which led to the split of the club
into two
• Half of the members formed a new club
around Mr. Hi; members from the other
part found a new instructor or gave up
karate

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Zachary’s Karate Club
• Based on collected data Zachary correctly assigned all but one
member of the club to the groups they actually joined after the split
Link to Model

Organizational networks
4.

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Strike
• A small wood-processing firm in
which management proposed a new
compensation package.
• This led to a strike, letting
management believe that the
communication to the workers had
been far from optimal
• They decided to have the social
network analyzed, the workers were
asked to indicate how often and
with whom they discussed the strike
The importance of informal
communication structures
within a firm

Link to Model
Strike

Political networks
5.

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Political Networks
Link Gephi BlogModel
Lada Adamic
Computational Social Scientist at Facebook
Video Network Analysis (1:12)

Communities
6.

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Celegans
• Caenorhabditis elegans, often
abbreviated as C. elegans, is a species
of transparent nematode, commonly
known as a round worm
• C. elegans is extensively studied in
biology and neuroscience due to its
simple and well-understood anatomy
• Its relatively simple nervous system
makes it an excellent model for
studying basic principles of neural
function and behavior
Link to Gephi Model

World Wide Impact
6.

Top World
Magazines
(2009)

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Google Forecast (2019)

Worldwide Impact
Epidemic prediction, AH1N1
link to Video AH1N1(0:51)
link to Video Vespignani (3:15)
Obesity is socially contagious
link to Video Obesity( 0:30)
link to Video Cristakis: (4:12) (Begins
at: 19:10)

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Data Science and
Network Science

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Rather than thinking
of the world
as a set of isolated
datapoints.
(Data Science)

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We think of networks
and relations between
its entities
(Network Science)

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These relational
structures of the
domain allow us to
build more accurate
models of the
underlying phenomena

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By explicitly modeling
relationships we
achieve better
performance, more
accurate predictions

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A Simple Example

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Two Independent Datasets
Set of questions limited

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Two Connected Datasets

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New Questions

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Main Question:
How do we take advantage
of relational structure for
better analysis, prediction
and finally understanding?
Link to Jure Leskovec Video
5:15 to 8:12

Conclusions
• Networks are Ubiquituos.
• Behind every complex system  network.
• World Wide Impact.
• Network science, future of data Science?

The Promise of Network Science
Link to Video (17 min)
Duncan Watts Albert Barabasi
Steven Strogatz

¿Questions?
alfonso.melendez@escuelaing.edu.co
Thanks for your Attention

WhatIsNetworkScience2 THE ONLY ONE024Def.pptx

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