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Only true social media geniuses need apply — 20 expert-level social media quiz questions and answers across every topic.
1. What does 'complex contagion' theory suggest about the spread of certain behaviors on social networks, in contrast to simple information spread?
💡 'Complex contagion' theory suggests that, unlike simple information, adopting certain behaviors often requires reinforcement from multiple independent sources before spreading.
2. What does 'power law distribution' commonly describe about follower counts across social media accounts?
💡 Follower counts on social media commonly follow a power law distribution: a small number of accounts have enormous followings, while the vast majority have relatively few.
3. What is a 'small-world network', a concept relevant to social media structure?
💡 A 'small-world network' is one where most nodes can be reached from any other node through a relatively small number of intermediate connections, a common pattern in social networks.
4. What does 'preferential attachment' describe in the growth of social networks?
💡 'Preferential attachment' describes how highly connected nodes, like already-popular accounts, tend to gain new connections at a faster rate, a pattern common in growing social networks.
5. What does 'betweenness centrality' specifically measure about a node in a network?
💡 'Betweenness centrality' measures how often a particular node lies on the shortest path between other pairs of nodes, indicating its role as a connector or bridge.
6. What is 'network density' a measure of in social network analysis?
💡 'Network density' measures the proportion of potential connections within a network that are actual, existing connections between nodes.
7. What does 'triadic closure' describe in the formation of social networks?
💡 'Triadic closure' describes the well-documented tendency for two people who share a mutual connection to eventually form a direct connection with each other as well.
8. What is 'community detection' used for in the analysis of large social networks?
💡 'Community detection' algorithms identify clusters or groups of nodes within a large network that are more densely connected to each other than to the broader network.
9. What does 'structural hole' refer to in social network analysis?
💡 A 'structural hole' refers to a gap between two clusters of connected individuals in a network who lack a direct connection to each other.
10. What does 'homophily bias' potentially contribute to in the context of algorithmic recommendation systems?
💡 'Homophily bias' in recommendation systems can reinforce existing social clusters by primarily suggesting connections and content similar to what a user already engages with.
11. What is a 'centrality measure' used to identify in social network analysis?
💡 'Centrality measures' are used in network analysis to identify the relative importance or influence of specific nodes, or users, within a broader network.
12. What does 'assortative mixing' refer to in network science, as applied to social platforms?
💡 'Assortative mixing' describes the tendency for nodes with similar characteristics, such as connectivity level or interests, to preferentially link with one another in a network.
13. What is 'six degrees of separation', a concept often discussed in relation to social networks?
💡 'Six degrees of separation' is the idea that any two people are connected through a chain of, on average, about six intermediate social acquaintances.
14. What does 'social contagion' broadly refer to?
💡 'Social contagion' broadly refers to the spread of behaviors, emotions, or ideas through a social network, driven by observation and interaction.
15. What does 'weak tie theory', originally proposed by sociologist Mark Granovetter, suggest about social networks?
💡 Weak tie theory, proposed by Mark Granovetter, suggests that loose, less close social connections often provide access to new information and opportunities more effectively than close ties.
16. What is the 'strength of weak ties' hypothesis primarily used to explain?
💡 The 'strength of weak ties' hypothesis is primarily used to explain why loosely connected acquaintances, rather than close friends, often provide particularly valuable novel information, such as job opportunities.
17. What is 'social capital' theory concerned with, as applied to social media networks?
💡 'Social capital' theory examines the value derived from social relationships and networks, including access to resources, information, and mutual support.
18. What is a 'bridge' node considered to be in social network analysis?
💡 A 'bridge' node is one whose removal from a network would significantly disconnect or fragment other parts of that network, highlighting its structural importance.
19. What is 'information cascade' theory concerned with in the context of viral content?
💡 'Information cascade' theory examines how individuals' decisions to share or believe content can be strongly influenced by observing the prior choices of others.
20. What is 'network homophily' in the context of social media connections?
💡 'Network homophily' describes the well-documented tendency for people to form social connections primarily with others similar to themselves.