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CMN 150V Final Exam Complete Study Guide with Questions and Verified Answers | Latest Edition

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CMN 150V Final Exam Complete Study Guide with Questions and Verified Answers | Latest Edition 1. How much do some top celebs get paid per tweet? - ANSWER $10,000 or more 2. What are 2 complementary aspects of computational social science Lamberson talks about? - ANSWER empirical work and computer simulations 3. Are celebs the only people to have influence in society? - ANSWER No 4. Can just anybody be influential? - ANSWER yes 5. What was the difference between the "numerical solutions" and "analytical solution"? - ANSWER numerical: enumerate the options and basically count 6. analytical: use math to derive the results 7. In network analysis, a component is: - ANSWER a part of the network in which a path can get you from a node to any other node 8. Why do you need at least one connection per node in order for the giant component to dominate? - ANSWER everybody can have one friend (on average) making a chain of friends 9. Who will have more links? - ANSWER older nodes 10. What does preferential attachment mean? - ANSWER the probability of a node to connect with new nodes corresponds to the number of existing degrees of a node 11. What does preferential attachment say in this case? The probability that a new node: - ANSWER connects to each one of them is equally likely 12. What doe sit mean that something is distributed according to a power law? - ANSWER exponentially few, have exponentially much, and exponentially many, have exponentially little 13. Why are most of my friends connected to highly connected people? - ANSWER popular people have many connection, inevitably also including my friends 14. When you find a high clustering coefficient, it means that people group together in different densely connected clusters, what does that mean? - ANSWER many people hang out with their groups with little connection to other groups 15. What does it mean to have a small average path length? - ANSWER the shortest path between all node sis short on average 16. A small world network is characterized by - ANSWER a small average path length and high clustering coefficient 17. When social scientists say that societies consist of small world networks, what do they mean? - ANSWER people have both close connections in tight groups and quick access to everybody 18. What has benefits but also costs? - ANSWER creating and maintaining links with others 19. What is often meant when social scientists say that a dynamic social configuration has become stable? - ANSWER nobody could benefit from changing anything in the configuration 20. If there is almost no cost to create and maintain connection, what network will evolve? - ANSWER a clique 21. If there is a very high cost to create and maintain connections, what network will evolve? - ANSWER a network without any links 22. What trick did Lamberson use in order to track who reposted url link to a story on Twitter? - ANSWER he tracked short url, which are unique to the post 23. What are 'Twitter Cascades'? - ANSWER an info diffusion process on Twitter in which a number of people make the same decision of passing along info in a sequential fashion 24. Do all posts go viral? - ANSWER the vast majority of posts never get retweeted, but a small fraction of links go viral 25. If something went viral, looking at it, there is a high probability that it had been sent by an influencer: p(influencer | viral). What about p (viral | influencer), the probability that something goes viral, given that it was sent by an influencer? - ANSWER low probability 26. The proposed model consists of the following: - ANSWER take a hypothetical network, select some nodes, and simulate a contagion process by assuming that neighboring nodes have a fixed probability of getting infected 27. The horizontal x-axis presents: - ANSWER if a given network (of simulated networks) has few or many links 28. What determines what spreads or not? - ANSWER density of network 29. Even though we cannot predict who is influential, why is it worthwhile for companies to pay large amounts of money to celebs to send messages? - ANSWER chances are that among the people reached by them, some turn out to be influential, who will the influence others 30. What determines if an individual can trigger a cascade? - ANSWER depends much more on the global structure of the influence network than it does on his or her personal degree on influence 31. Can anyone start a cascade? - ANSWER the overall network permits global cascades anyone can start one but if it doesn’t then no one can 32. What determines if someone is influential? - ANSWER depends on the general structure of the network

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CMN 150V Final Exam Complete Study
Guide with Questions and Verified
Answers | Latest Edition

1. How much do some top celebs get paid per tweet? - ANSWER $10,000 or
more


2. What are 2 complementary aspects of computational social science
Lamberson talks about? - ANSWER empirical work and computer
simulations


3. Are celebs the only people to have influence in society? - ANSWER No


4. Can just anybody be influential? - ANSWER yes


5. What was the difference between the "numerical solutions" and "analytical
solution"? - ANSWER numerical: enumerate the options and basically
count
6. analytical: use math to derive the results


7. In network analysis, a component is: - ANSWER a part of the network in
which a path can get you from a node to any other node


8. Why do you need at least one connection per node in order for the giant
component to dominate? - ANSWER everybody can have one friend (on
average) making a chain of friends

,9. Who will have more links? - ANSWER older nodes


10.What does preferential attachment mean? - ANSWER the probability of a
node to connect with new nodes corresponds to the number of existing
degrees of a node


11.What does preferential attachment say in this case? The probability that a
new node: - ANSWER connects to each one of them is equally likely


12.What doe sit mean that something is distributed according to a power law? -
ANSWER exponentially few, have exponentially much, and exponentially
many, have exponentially little


13.Why are most of my friends connected to highly connected people? -
ANSWER popular people have many connection, inevitably also including
my friends


14.When you find a high clustering coefficient, it means that people group
together in different densely connected clusters, what does that mean? -
ANSWER many people hang out with their groups with little connection to
other groups


15.What does it mean to have a small average path length? - ANSWER the
shortest path between all node sis short on average


16.A small world network is characterized by - ANSWER a small average path
length and high clustering coefficient

,17.When social scientists say that societies consist of small world networks,
what do they mean? - ANSWER people have both close connections in tight
groups and quick access to everybody


18.What has benefits but also costs? - ANSWER creating and maintaining
links with others


19.What is often meant when social scientists say that a dynamic social
configuration has become stable? - ANSWER nobody could benefit from
changing anything in the configuration


20.If there is almost no cost to create and maintain connection, what network
will evolve? - ANSWER a clique


21.If there is a very high cost to create and maintain connections, what network
will evolve? - ANSWER a network without any links


22.What trick did Lamberson use in order to track who reposted url link to a
story on Twitter? - ANSWER he tracked short url, which are unique to the
post


23.What are 'Twitter Cascades'? - ANSWER an info diffusion process on
Twitter in which a number of people make the same decision of passing
along info in a sequential fashion


24.Do all posts go viral? - ANSWER the vast majority of posts never get
retweeted, but a small fraction of links go viral


25.If something went viral, looking at it, there is a high probability that it had
been sent by an influencer: p(influencer | viral). What about p (viral |

, influencer), the probability that something goes viral, given that it was sent
by an influencer? - ANSWER low probability


26.The proposed model consists of the following: - ANSWER take a
hypothetical network, select some nodes, and simulate a contagion process
by assuming that neighboring nodes have a fixed probability of getting
infected


27.The horizontal x-axis presents: - ANSWER if a given network (of simulated
networks) has few or many links


28.What determines what spreads or not? - ANSWER density of network


29.Even though we cannot predict who is influential, why is it worthwhile for
companies to pay large amounts of money to celebs to send messages? -
ANSWER chances are that among the people reached by them, some turn
out to be influential, who will the influence others


30.What determines if an individual can trigger a cascade? - ANSWER
depends much more on the global structure of the influence network than it
does on his or her personal degree on influence


31.Can anyone start a cascade? - ANSWER the overall network permits global
cascades anyone can start one but if it doesn’t then no one can


32.What determines if someone is influential? - ANSWER depends on the
general structure of the network

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