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About this video

By Marc Samet

NETWORK THEORY

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Additional resources for you to explore:

 

To know how BIOS works go to:

http://www.howstuffworks.com/bios.htm

 

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http://computer.howstuffworks.com/computer-memory.htm

 

To learn more about Motherboard go to:.

http://computer.howstuffworks.com/motherboard.htm


From social media to massive financial institutions, we live within a web of networks. But how do they work? How does Googling a single word provide millions of results? Marc Samet investigates how these networks keep us connected and how they remain "alive."

 

Translate into Russian:

go viral, behavior, within, evolving, occur, neighborhood, define, node, expand, power function, amplification, logarithmically, accelerate, value, parameter, emerge, emergence, increase, accomplish, derive, reference, expansion, apply, acquaintance.

 

Watch the video “Network theory”

http://ed.ted.com/lessons/what-facebook-and-the-flu-have-in-common-marc-samet

 

While watching:

Fill in the gaps:

a) Over time, the connections within a network _____ and _____ in new places, forming _____structures.

b) We can think of networks as _____.

c) A Google map demonstrates the relationship between _____ in exactly the same fashion a network connects _____ and _____, using streets as links to connect neighborhoods.

d) Networks will continue to emerge as new ways of _____ and _____ neighborhoods are defined.

e) The reason a network can _____ and _____ so quickly is based upon a mathematical concept called _____ functions.

f) As Google continues to collect the billions of daily searches, new _____ of links will rapidly emerge, forming additional and growing _____.

 

After watching:

1 Match the words in A with the words in B:

A: B:
1. social a. theory
2. constant b. function
3. mathematical c. model
4. network d. expansion
5. search e. network
6. power f. rules
7. specific g. change
8. mathematical h. term
9. logarithmic i. concept

 

2 Answer the questions:

a) Why do we say that networks are alive?

b) What is the subject of network theory?

c) What is a power function?

d) When does the node eventually become a hub?

e) Why are networks so powerful?

f) What law applies to our social networks?

 

3 Decide if the statements are true or false:

a) Начало формы

b) Конец формы

c) Начало формы

d) Конец формы

e) Начало формы

f) Начало формы

g) Конец формы

Конец формы

a) Networks are collections of links which combine by specific rules and behaviors if they are alive.

b) Despite the logarithmic expansion of your network, the laws of nine degrees of separation still apply.

c) A power function is a mathematical amplification mechanism, which over specific and very small ranges, accelerates changes logarithmically.

d) What Google has cleverly accomplished is a real-time mathematical model for how to predict the emergence of growing connections among billions of search terms.

e) The algorithm Google derived collects the number of references to particular search object.