with all complete questions and
answers solutions guaranteed| 2025-
2026
$10,000 or more - correct answers How much do some top celebrities get paid per tweet?
whenever something spreads somewhere, along the way, one "exceptional person" finds out about the
trend, then everybody else gets on the trend - correct answers Malcolm Gladwell - The Tipping Point:
"The law of the few" means...
one american in 10 tells the others what to eat, what to wear, etc... - correct answers "The influentials"
book says...
from the media, to influencers, to the public - correct answers What does the "two-step flow model"
say? Information flows:
empirical work & computer simulations - correct answers What are the two complementary aspects of
Computational Social Science Prof. Lamberson from UCLA will talk about?
An information diffusion process on Twitter in which a number of people make the same decision of
passing along information in a sequential fashion - correct answers What are 'Twitter cascades'?
The vast majority of posts never get retweeted, but a small fraction of links go viral - correct answers
What is the first thing researchers found when looking at the empirical evidence about Tweets that go
viral?
Training set & test set - correct answers Does this sound familiar? In a data science framework, what are
the first and second part of the data refer to?
,Bottom left - correct answers If it turned out that one of the top-25 most retweeted URLs came from an
account that had little influence in the past, and has a small number of followers, where would it be
located in this graph?
Mid-bottom - correct answers If it turned out that one of the top-25 most retweeted URLs came from an
account that had MID-LEVEL influence in the past, and has a small number of followers, where would it
be located in this graph?
1 in 2 million - correct answers Let's assume that if you have this disease, you will surely have these
symptoms. Now, 1 in 6 million people have this disease. Let's assume that 1/3 of the population of 6
million people has these symptoms (2 of 6 million => more have symptoms than the disease). Imagine
you are part of the group that has the symptoms. What's your chance of having the disease, given that
you have the symptoms?
100% - correct answers Sticking to our previous example, we said that the probability
p(disease | given the | symptoms) was 1/2,000,000 = 0.00005 %
What had we assumed is the probability
p(symptoms | given the | disease)?
low probability - correct answers If something went viral, looking at it, there is a high probability that it
has 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?
Take a hypothetical network, select some nodes, and simulate a contagion process by assuming that
neighboring nodes have a fixed probability of getting infected - correct answers The Prof. Lamberso's
proposed model consists of the following:
If a given network (of the simulated networks) has few or many links - correct answers The horizontal x-
axis presents:
the general structure of the network - correct answers What is the lesson learned here? Whether
someone is influential depends on:
,Because chances are that among large number of people reached by them, some turn out to be
influential, who will then influence others - correct answers Even though we cannot predict who is
influential, why is it still worthwhile for companies to pay large amounts of money to celebrities to send
out messages?
Today we will look into dynamically evolving networks + start to simulate theoretical networks - correct
answers What is the difference between this lecture on Social Network Analysis, and the previous
lecture on the same topic?
from Ancient Greek (homou, "together") and Greek (philia, "friendship") is the tendency of individuals to
associate with similar others. - correct answers Homophily:
context - correct answers In his lecture, Prof. Fowler from UCSD (UCCSS_Fowler_2: From Obesity to
Generosity (7min)) presented a third possibility of why similar people add up together: contagion,
homophily and:
False - correct answers t/f: In science, things can be distributed in four different ways: normal
distribution; Poisson distribution; exponential distribution; & powerlaw distribution.
false - correct answers t/f: In science, networks can form in four different ways: random networks; scale-
free networks; small world networks; hub&spoke / star network.
the sum of the length of the shortest paths between the node and all other nodes in the graph - correct
answers Closeness centrality is calculated as:
You create a large number of random networks, and compare your network with it - correct answers
What is one common way to scientifically test whether there's something special about your network?
entities are connected to each other via multiple types of connections - correct answers Multiplex
network:
"who communicate" = "communication network""have...friends" = "friendship network""more friends"
= "high degree centrality" - correct answers Look at this pseudo "theory" (on the left) and then at the
, "hypothesis" on the right. Can you see how the scientific hypothesis makes an informal verbal idea more
concrete? What aspects are equivalent in this translation? (check all that apply)
3 - correct answers Let's assume a very simple network with three nodes (A, B, C) and one (undirected)
link: G(n,M) = G(3,1). How many different networks can you form with that? ...draw three nodes and try
it out...
The number of possible G(3,2) is the same as all possible G(3,1) - correct answers Wait! I thought you
can do 3 graphs with 3 nodes and 1 link! What's the connection here?
For numerical solutions, you enumerate the options and basically count, for analytical solutions you use
math to derive the results - correct answers Wait again! What was the difference between the
"numerical solution" and the "analytical solution"?
a part of the network in which a path can get you from a node to any other node - correct answers In
network analysis, a component is:
3 - correct answers How many of the 50 people are in the "giant component" at this point (in the largest
connected subgraph)?
everybody can have one friend (on average), making a chain of friends - correct answers Why do you
need at least 1 connection per node in order for the giant component to dominate?
a walk that ends where it began - correct answers In network analysis, a cycle is:
the probability of a node to connect with new nodes, corresponds to the number of existing degrees of
a node - correct answers What does "preferential attachment" mean?
connects to each one of them is equally likely - correct answers What does preferential attachment say
in this case? The probability that a new node:
exponentially few, have exponentially much, and exponentially many, have exponentially little - correct
answers What does it mean that something is distributed according to a power-law?