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This set of Social Media Analytics (SMA) Multiple Choice Questions & Answers (MCQs) focuses on Social Media Analytics Set 1
Q1 | Data that has been generated with no connection to the Internet, and then registered into a system, which may be accessed via the Internet later called
- offline originated data
- online originated data
- both a & b
- none of the above
Q2 | What is one of the big differences between traditional media and social media?
- participatory production.
- social media reaches only a few people at a time.
- the management structure of the companies.
- traditional media offers no way for audiences to communicate with media producers.
Q3 | Estimated metrics include …………. which provide the number of times a user has potentially seen a certain piece of content or advertising.
- views
- impressions
- reach
- all of the above
Q4 | ____________is a very fragile and unstable way of gathering data, because when anything changes on the web site, the source code is changed,
- data mining
- web crawling/scraping
- both a & b
- none of the above
Q5 | It allows a programmer to see a clear structure of the information that is stored in the application Called
- api
- program
- data
- none of the above
Q6 | In terms of Facebook's ranking algorithm, what does "weight" refer to?
- the amount of comments, likes, etc. a content post receives
- how often a profile produces content
- how many highly ranked content posts a profile has in a given week
- how many followers/friends a company has
Q7 | What is CTR?
- cost through rate
- click table rate
- click through rate
- clicks through rate
Q8 | Which of the following clustering requires merging approach?
- Partitional
- Hierarchical
- Naive Bayes
- None of the mentioned
Q9 | Hierarchical clustering should be primarily used for exploration.
- true
- false
Q10 | Following are applications of text mining
- Classification
- clustering
- keyword search
- All Above
Q11 | In ___________problems nodes in Social n/w associated with labels
- keyword search
- clustering
- Classification
- mining
Q12 | Most well-known keyword search algorithm for relational data is _______
- DISCOVER
- DBX-plorer
- None of the above
- Both A & B
Q13 | _____________applies authority-based rankingto keyword search on labeled graphs,
- ObjectRank Algorithm
- Indexbased map
- nodekeyword map
- DISCOVER
Q14 | Which is not classification algorithm?
- Naive Bayes
- TFIDF
- Probabilistic Indexing
- Indexbased
Q15 | Data mining is also known as___________
- FDD
- KDD
- MDD
- NDD
Q16 | Clustering is a common____________ data mining technique
- Supervised
- Unsupervised
- both A & B
- None
Q17 | ___________ is an essential process where intelligent methods are applied to extract data patterns.
- Data warehousing
- Data mining
- Text mining
- Data selection
Q18 | Data ................... is the process of finding a model that describes and distinguishes data classes or concepts.
- Characterization
- Mining
- clustering
- Classification
Q19 | _____________ is the application of data mining techniques to discover patterns from the Web
- Text Mining
- Multimedia Mining
- Web Mining
- Link Mining
Q20 | _______________refers to the process of deriving high-quality information from text.
- Text Mining.
- Image Mining
- Database Mining
- Multimedia Mining.
Q21 | What are the different measures of centrality?
- Degree centrality
- Closeness centrality
- Eigen vector centrality
- All of the above
Q22 | Degree centrality is defined as
- The ratio of number of neighbors of the vertex with total number of possible neighbors
- Central nodes of all the given nodes in networks
- Total number of nodes in the given network
- None of the above