CMN 150V Final Exam QUESTIONS
AND ANSWERS GRADED A+
2025/2026
the law of the few - ANS ✔✔a small number of influential people can generate a groundswell of
support for an idea, brand, or phenomenon
two step flow model of influence - ANS ✔✔a small group of influencers disseminates
information they get from mess media while modifying the opinions of a large number of other
people
effect of social media on public opinion - ANS ✔✔companies can bypass media and go directly
to influencers
accidental influencers examples - ANS ✔✔brookline police department posting a police officer
delivering milk; charlie bit my finger
twitter cascades example - ANS ✔✔dots by themselves, nobody reposts a tweet; one link with
many others branching from that, one person posts a link and many repost it
twitter cascades definition - ANS ✔✔an information diffusion process on twitter in which a
number of people make the same decision of passing along information in a sequential fashion
factors that predict influence - ANS ✔✔number of followers and past influence
, degree distribution - ANS ✔✔a few people have a huge number of connections while most
people have very few connections
different kinds of networks - ANS ✔✔random, scale-free, small world, hub & spoke/star
induction - ANS ✔✔phenomena/system --> data collection --> abstraction/analysis/model -->
hypothesis/stylized facts --> theory --> phenomena/system
glass of red wine - ANS ✔✔phenomena/system --> theory --> hypothesis/stylized facts --> data
collection --> abstraction/analysis/model --> phenomena/system
random (erdos-renyi) graphs/networks - ANS ✔✔start with n nodes, form independent links,
givens benchmarks; properties look for both numerical and analytical solutions
scale-free networks - ANS ✔✔class of networks whose degree distribution follows a power law;
as a result these networks include many "very-connected" nodes known as the hubs of
connectivity responsible for shaping the way the network operates
preferential attachment - ANS ✔✔the probability of a node to connect with new nodes
corresponds to the number of existing degrees of a node
hybrid models - ANS ✔✔between uniform random and preferential attachment; 1/3 random
and 2/3 preferential attachment; explains the distribution of how web pages are connected on
the world wide web
small world networks - ANS ✔✔high level of clustering; unlikely to quickly reach others; small
average path length
clustering coefficient - ANS ✔✔number of connections that exist between nearest neighbors of
a node; high means that people group together in different densely connected clusters
AND ANSWERS GRADED A+
2025/2026
the law of the few - ANS ✔✔a small number of influential people can generate a groundswell of
support for an idea, brand, or phenomenon
two step flow model of influence - ANS ✔✔a small group of influencers disseminates
information they get from mess media while modifying the opinions of a large number of other
people
effect of social media on public opinion - ANS ✔✔companies can bypass media and go directly
to influencers
accidental influencers examples - ANS ✔✔brookline police department posting a police officer
delivering milk; charlie bit my finger
twitter cascades example - ANS ✔✔dots by themselves, nobody reposts a tweet; one link with
many others branching from that, one person posts a link and many repost it
twitter cascades definition - ANS ✔✔an information diffusion process on twitter in which a
number of people make the same decision of passing along information in a sequential fashion
factors that predict influence - ANS ✔✔number of followers and past influence
, degree distribution - ANS ✔✔a few people have a huge number of connections while most
people have very few connections
different kinds of networks - ANS ✔✔random, scale-free, small world, hub & spoke/star
induction - ANS ✔✔phenomena/system --> data collection --> abstraction/analysis/model -->
hypothesis/stylized facts --> theory --> phenomena/system
glass of red wine - ANS ✔✔phenomena/system --> theory --> hypothesis/stylized facts --> data
collection --> abstraction/analysis/model --> phenomena/system
random (erdos-renyi) graphs/networks - ANS ✔✔start with n nodes, form independent links,
givens benchmarks; properties look for both numerical and analytical solutions
scale-free networks - ANS ✔✔class of networks whose degree distribution follows a power law;
as a result these networks include many "very-connected" nodes known as the hubs of
connectivity responsible for shaping the way the network operates
preferential attachment - ANS ✔✔the probability of a node to connect with new nodes
corresponds to the number of existing degrees of a node
hybrid models - ANS ✔✔between uniform random and preferential attachment; 1/3 random
and 2/3 preferential attachment; explains the distribution of how web pages are connected on
the world wide web
small world networks - ANS ✔✔high level of clustering; unlikely to quickly reach others; small
average path length
clustering coefficient - ANS ✔✔number of connections that exist between nearest neighbors of
a node; high means that people group together in different densely connected clusters
