answers verified solutions| graded a+.
How much do some top celebs get paid per tweet? - correct answers $10,000 or more
What are 2 complementary aspects of computational social science Lamberson talks about? - correct
answers empirical work and computer simulations
Are celebs the only people to have influence in society? - correct answers No
Can just anybody be influential? - correct answers yes
What trick did Lamberson use in order to track who reposted url link to a story on Twitter? - correct
answers he tracked short url, which are unique to the post
What are 'Twitter Cascades'? - correct answers 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? - correct answers 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? - correct answers low probability
The proposed model consists of the following: - correct answers 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: - correct answers if a given network(of simulated networks) has few or
many links
What determines what spreads or not? - correct answers 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? - correct answers 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? - correct answers 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? - correct answers the overall network permits global cascades anyone can
start one but if it doesnt then no one can
What determines if someone is influential? - correct answers 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? - correct answers 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 -
correct answers false
T or F? In science, things can be distributed in random, scale free, small world, hub/spoke networks -
correct answers false
What is one common way to scientifically test whether there's something special about your network? -
correct answers 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? - correct answers 3
, What was the differnece between the "numerical solutions" and "analytical solution"? - correct answers
numerical: enumerate the options and basically count
analytical: use math to derive the results
In network analysis, a component is: - correct answers 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? -
correct answers everybody can have one friend (on average) making a chain of friends
Who will have more links? - correct answers older nodes
What does preferential attachment mean? - correct answers 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: - correct answers
connects to each one of them is equally likely
What doe sit mean that something is distributed according to a power law? - correct answers
exponentially few, have exponentially much, and exponentially many, have exponentially little
Why are most of my friends connected to highly connected people? - correct answers 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? - correct answers many people hang out with their groups
with little connection to other groups
What does it mean to have a small average path length? - correct answers the shortest path between all
node sis short on average