CMN 150V Final Exam
How much do some top celebs get paid per tweet? - Answer -$10,000 or more
What are 2 complementary aspects of computational social science Lamberson talks about? - Answer -
empirical work and computer simulations
Are celebs the only people to have influence in society? - Answer -No
Can just anybody be influential? - Answer -yes
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
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
Do all posts go viral? - Answer -the vast majority of posts never get retweeted, but a small fraction of
links go viral
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
,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
The horizontal x-axis presents: - Answer -if a given network(of simulated networks) has few or many
links
What determines what spreads or not? - Answer -density of network
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
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
Can anyone start a cascade? - Answer -the overall network permits global cascades anyone can start one
but if it doesnt then no one can
What determines if someone is influential? - Answer -depends on the general structure of the network
What is the difference between this lecture on social network analysis and the previous lectures on the
same topic? - Answer -today, we will look at dynamically evolving networks and starts to simulate
theoretical networks
T or F? In science, things can be distributed in 4 diff ways: normal, poisson, exponential, powerlaw -
Answer -false
T or F? In science, things can be distributed in random, scale free, small world, hub/spoke networks -
Answer -false
, What is one common way to scientifically test whether there's something special about your network? -
Answer -you create a large number of random networks and compare your network with it
Let's assume a very simple network with 3 nodes(A,B,C) and one (undirected) link: G(N,M) = G(3,1). How
many different networks can you form with that? - Answer -3
What was the differnece between the "numerical solutions" and "analytical solution"? - Answer -
numerical: enumerate the options and basically count
analytical: use math to derive the results
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
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
Who will have more links? - Answer -older nodes
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
What does preferential attachment say in this case? The probability that a new node: - Answer -
connects to each one of them is equally likely
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
Why are most of my friends connected to highly connected people? - Answer -popular people have
many connection, inevitably also including my friends
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
How much do some top celebs get paid per tweet? - Answer -$10,000 or more
What are 2 complementary aspects of computational social science Lamberson talks about? - Answer -
empirical work and computer simulations
Are celebs the only people to have influence in society? - Answer -No
Can just anybody be influential? - Answer -yes
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
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
Do all posts go viral? - Answer -the vast majority of posts never get retweeted, but a small fraction of
links go viral
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
,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
The horizontal x-axis presents: - Answer -if a given network(of simulated networks) has few or many
links
What determines what spreads or not? - Answer -density of network
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
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
Can anyone start a cascade? - Answer -the overall network permits global cascades anyone can start one
but if it doesnt then no one can
What determines if someone is influential? - Answer -depends on the general structure of the network
What is the difference between this lecture on social network analysis and the previous lectures on the
same topic? - Answer -today, we will look at dynamically evolving networks and starts to simulate
theoretical networks
T or F? In science, things can be distributed in 4 diff ways: normal, poisson, exponential, powerlaw -
Answer -false
T or F? In science, things can be distributed in random, scale free, small world, hub/spoke networks -
Answer -false
, What is one common way to scientifically test whether there's something special about your network? -
Answer -you create a large number of random networks and compare your network with it
Let's assume a very simple network with 3 nodes(A,B,C) and one (undirected) link: G(N,M) = G(3,1). How
many different networks can you form with that? - Answer -3
What was the differnece between the "numerical solutions" and "analytical solution"? - Answer -
numerical: enumerate the options and basically count
analytical: use math to derive the results
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
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
Who will have more links? - Answer -older nodes
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
What does preferential attachment say in this case? The probability that a new node: - Answer -
connects to each one of them is equally likely
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
Why are most of my friends connected to highly connected people? - Answer -popular people have
many connection, inevitably also including my friends
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
