Marketing Analytics

A visually engaging illustration of social network analysis concepts, featuring interconnected nodes and edges, with a dynamic marketing background.

Test Your Marketing Analytics Knowledge

Welcome to the Marketing Analytics Quiz! This engaging quiz will test your understanding of key concepts in social network analysis and related marketing strategies.

Whether you're a student, marketer, or analytics enthusiast, you can challenge yourself with:

  • Multiple choice questions
  • A focus on real-world applications
  • A chance to enhance your marketing knowledge
12 Questions3 MinutesCreated by AnalyzingStar25
Which of the following an aim of social network analysis
Understand the driver behind people's behaviour on social media
Visualise 'profiles' for each person in a social network analysis
Predict follower growth for social media influencers
Calculate positions of each element and group of elements within it
Which of the following is NOT a business application of Social network analysis
Viral marketing & influencer marketing
Predicting customer churn
Identify customer needs and preferences
Social recommendations & social search
Which of the following is NOT a type of network
Alter network
Whole network
Partial network
Ego network
Which of the following relationship ties exist in social network analysis
Undirected and unrestricted networks
Directed and unrestricted networks
Undirected and directed networks
Restricted and unrestricted networks
What would Ilias' response to any response after term be?
"thank you for your question"
"no"
"I am afraid I cannot answer that question after the term date"
"hhmmm no"
Is a node also called a vertex?
True
False
Is an edge also called a road?
True
False
Which of the following is NOT a network form
Circle network
Square network
Star network
Line network
Which of the following is a type of centrality
Closeness centrality
Distance centrality
Euclidian centrality
Longitudinal centrality
Degree centrality:
Measures the number of connections of a node
Nodes with the highest degree centrality act as a hub or connector in the network
Is a simple measure of centrality
Does not take into account the quality of those connections
Takes into account individual features of connectors
In-degree centrality in an online community often refers to actors who are able to disperse information quickly to many others
True
False
In an online community, high out-degree centrality often refers to
 
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