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201. |
__________provides solution for directed graph problems. |
A. | Eigenvector |
B. | Katz |
C. | PageRank |
D. | none |
Answer» C. PageRank |
202. |
Eigenvector centrality defined for ____________ graphs |
A. | directed |
B. | undirected |
C. | both |
D. | none |
Answer» C. both |
203. |
________centrality considers how important nodes are in connecting other nodes. |
A. | Eigenvector |
B. | Betweenness |
C. | degree |
D. | Katz |
Answer» B. Betweenness |
204. |
Which centrality can not be generalized for group of nodes. |
A. | Closeness |
B. | degree |
C. | betweenness |
D. | Katz |
Answer» D. Katz |
205. |
Transitivity and reciprocity are used in ____________networks. |
A. | Directed |
B. | Undirected |
C. | weighted |
D. | None |
Answer» A. Directed |
206. |
When edges (v1; v2) and (v2; v3) are formed,if (v3; v1) is also formed, it is ____________ |
A. | reciprocity |
B. | Transitivity |
C. | centrality |
D. | None |
Answer» B. Transitivity |
207. |
A transitive behavior needs at least___________edges. |
A. | two |
B. | three |
C. | more than one |
D. | five |
Answer» B. three |
208. |
___________clustering is computed for the network |
A. | global |
B. | local |
C. | central |
D. | average |
Answer» A. global |
209. |
The clustering coeficient analyzes transitivity in an ____________ graph |
A. | directed |
B. | undirected |
C. | both |
D. | none |
Answer» B. undirected |
210. |
__________Clustering estimates how strongly neighbors of a node are themselves connected |
A. | global |
B. | local |
C. | central |
D. | average |
Answer» B. local |
211. |
Reciprocity is a simplified version of ____________ |
A. | centrality |
B. | clustering |
C. | Transitivity |
D. | classification |
Answer» C. Transitivity |
212. |
Social Balance Theory also known as ______________ |
A. | Nodal balance theory |
B. | structural balance theory |
C. | Network balance theory |
D. | none |
Answer» B. structural balance theory |
213. |
Social balance theory says friend/foe relationships are _________ |
A. | consistent |
B. | determinant |
C. | conjugate |
D. | adjacent |
Answer» A. consistent |
214. |
Social status theory measures how consistent individuals are in assigning status to their neighbors. |
A. | true |
B. | false |
Answer» A. true |
215. |
Similarity between two nodes can be computed by measuring their_____equivalence |
A. | Nodal |
B. | global |
C. | structural |
D. | central |
Answer» C. structural |
216. |
__________ centrality assumes that the node with the maximum degree is the most central individual. |
A. | Eigenvector |
B. | Katz |
C. | degree |
D. | None |
Answer» C. degree |
217. |
___________behavior emerges when a population of individuals behave in a similar way |
A. | Collective |
B. | individual |
C. | group |
D. | none |
Answer» A. Collective |
218. |
When discussing individual behavior, Our focus is on _______ individuals |
A. | two |
B. | one |
C. | more than one |
D. | more |
Answer» B. one |
219. |
Following are types of individual behaviour. |
A. | User-User |
B. | User-Community |
C. | User-Entity |
D. | All above |
Answer» D. All above |
220. |
User-_______ behaviour is content generation |
A. | User |
B. | Community |
C. | Entity |
D. | none |
Answer» C. Entity |
221. |
Befriending is an example of ___________behaviour. |
A. | User-User |
B. | User-Community |
C. | User-Entity |
D. | none |
Answer» A. User-User |
222. |
Communities are mostly______________ |
A. | explicit |
B. | implicit |
C. | compact |
D. | none |
Answer» B. implicit |
223. |
Individuals are inclined toward an activity when their_____are engaged in the same activity. |
A. | friends |
B. | foes |
C. | relatives |
D. | none |
Answer» A. friends |
224. |
Number of friends are ___________proportional to probability of joining community. |
A. | Directly |
B. | Indirectly |
C. | inversely |
D. | not |
Answer» A. Directly |
225. |
Number of friends of an individual in a community considered as |
A. | Class variable |
B. | Class attribute |
C. | Class vector |
D. | none |
Answer» B. Class attribute |
226. |
Posting a photo is an example of __________behaviour. |
A. | User-User |
B. | User-Community |
C. | User-Entity |
D. | none |
Answer» C. User-Entity |
227. |
Decision tree learning is a __________algorithm |
A. | classification |
B. | clustering |
C. | feature selection |
D. | mining |
Answer» A. classification |
228. |
To determine individuals joining ________and______algorithms are used. |
A. | classification, feature selection |
B. | clustering, feature selection |
C. | classification, clustering |
D. | mining, clustering |
Answer» A. classification, feature selection |
229. |
Participating in group discussions is an example of __________behaviour. |
A. | User-User |
B. | User-Community |
C. | User-Entity |
D. | none |
Answer» B. User-Community |
230. |
Granger Causality considers __________regression model |
A. | non linear |
B. | progressive |
C. | linear |
D. | logarithmic |
Answer» C. linear |
231. |
Threshold and cascade models are used in ___________behaviour modelling, |
A. | Collective |
B. | individual |
C. | group |
D. | none |
Answer» B. individual |
232. |
The more common neighbors that two nodes share, the more ______they are. |
A. | common |
B. | similar |
C. | linear |
D. | versatile |
Answer» B. similar |
233. |
The likelihood of a node that is a neighbor of either of a common neighbor is ____________ |
A. | Adamic-Adar similarity |
B. | Preferential Attachment |
C. | Jaccard Similarity |
D. | None |
Answer» C. Jaccard Similarity |
234. |
Posting messages online to support a cause is an example of _________ behaviour. |
A. | User-User |
B. | User-Community |
C. | individual |
D. | collective |
Answer» D. collective |
235. |
If two individuals share a neighbor and that neighbor is a rare neighbor then similarity is |
A. | Preferential Attachment |
B. | Jaccard Similarity |
C. | Adamic-Adar similarity |
D. | common neighbor |
Answer» C. Adamic-Adar similarity |
236. |
Preferential Attachment is Nodes of higher degree have a ______chance of getting connected to incoming nodes |
A. | lower |
B. | average |
C. | equal |
D. | higher |
Answer» D. higher |
237. |
______ is the expected number of random walk steps needed to reach y starting from x 𝑥. |
A. | Commute time |
B. | Hitting time |
C. | walking time |
D. | moving time |
Answer» B. Hitting time |
238. |
A smaller hitting time implies a ____ similarity |
A. | higher |
B. | lower |
C. | thinner |
D. | average |
Answer» A. higher |
239. |
___________denotes number of paths of length l between x and y, |
A. | Katz Measure |
B. | Hitting time |
C. | Commute time |
D. | Rooted PageRank |
Answer» A. Katz Measure |
240. |
Collective Behavior is often ___________ |
A. | spontaneous and unplanned |
B. | planned |
C. | coordinated |
D. | unknown. |
Answer» A. spontaneous and unplanned |
241. |
Collective Behavior was first defined by sociologist______ |
A. | Katz |
B. | Robert Park |
C. | Adamic-Ada |
D. | None of above |
Answer» B. Robert Park |
242. |
___________ is when any user who is a member of two sites s1 and s2 at time ti and is only a member of s2 at time tj > ti. |
A. | Site Migration |
B. | Attention Migration |
C. | Complete Migration |
D. | None of above |
Answer» A. Site Migration |
243. |
Twitter is a _____________service. |
A. | blogging |
B. | Microblgging |
C. | daily blogging |
D. | None of above |
Answer» B. Microblgging |
244. |
Twitter has popularized the use of___________ |
A. | emojis |
B. | instagrams |
C. | hashtags |
D. | tweets |
Answer» C. hashtags |
245. |
_____ refers to breaking down a stream of texts into parts such as words, phrases, symbols. |
A. | Tokenization |
B. | Data Cleaning |
C. | Data gathering |
D. | Preprocessing |
Answer» A. Tokenization |
246. |
_______ is with a simple point-and-click interface and could be used to collect data from the web. |
A. | Visual scraper |
B. | Octoparse |
C. | Gephi |
D. | qlick |
Answer» A. Visual scraper |
247. |
________ community come into existence when members share common interests without having clear and strong connections |
A. | explicit |
B. | Social |
C. | implicit |
D. | common |
Answer» C. implicit |
248. |
Dynamic maps can be used to extract __________data |
A. | user |
B. | geographical |
C. | community |
D. | entity |
Answer» B. geographical |
249. |
The_________ tool is another great option to extract data on Facebook |
A. | web scraping |
B. | web crawling |
C. | web mining |
D. | None of above |
Answer» A. web scraping |
250. |
which of following is not paid Facebook Analytics tool |
A. | SoTrender |
B. | Brand24 |
C. | Social Bakers |
D. | LikeAlyzer |
Answer» D. LikeAlyzer |
251. |
______community is when people with common interests and know exactly whether they belong to a community or not |
A. | explicit |
B. | Social |
C. | implicit |
D. | common |
Answer» A. explicit |
252. |
Octoparse can be used for data extraction on |
A. | |
B. | |
C. | hasgtag |
D. | |
Answer» D. Facebook |
253. |
__________features a web-based dashboard that shows real-time insights |
A. | SoTrender |
B. | Brand24 |
C. | cyfe |
D. | LikeAlyzer |
Answer» B. Brand24 |
254. |
_____tracks Facebook, Twitter and YouTube, both for your pages and that of your competitors. |
A. | SoTrender |
B. | Brand24 |
C. | Social Bakers |
D. | LikeAlyzer |
Answer» C. Social Bakers |
255. |
which of following is paid Facebook Analytics tool |
A. | LikeAlyzer |
B. | SoTrender |
C. | sociograph.io |
D. | Facebook insights |
Answer» B. SoTrender |
256. |
________is another tool that offers a more complete social analysis than just Facebook, also including Twitter, YouTube, Instagram, Pinterest and LinkedIn. |
A. | LikeAlyzer |
B. | cyfe |
C. | Brand24 |
D. | Social Bakers |
Answer» B. cyfe |
257. |
___________is the first free Facebook Analytics tool |
A. | LikeAlyzer |
B. | sociograph.io |
C. | Facebook insights |
D. | Brand24 |
Answer» C. Facebook insights |
258. |
_______allows you to enter any Facebook page without authorization to measure and analyse its performance |
A. | LikeAlyzer |
B. | SoTrender |
C. | sociograph.io |
D. | Facebook insights |
Answer» A. LikeAlyzer |
259. |
__________is not a Facebook Analytics tool. |
A. | LikeAlyzer |
B. | SoTrender |
C. | cyfe |
D. | Social Bakers |
Answer» C. cyfe |
260. |
Quintly covers Facebook, Twitter, Google+, LinkedIn, Instagram and YouTube, but it has a free tool for_________ analytics. |
A. | |
B. | Twittern |
C. | Google+ |
D. | LinkedI |
Answer» A. Facebook |
261. |
Python library to connect to Twitter’s API called ________ |
A. | Numpy |
B. | Tweepy |
C. | Matplotlib |
D. | Pandas |
Answer» B. Tweepy |
262. |
Twitter API result is in a__________ format |
A. | Numeric |
B. | CSV |
C. | JSON |
D. | Key-Value |
Answer» C. JSON |
263. |
All data we gather from Twitter is written in ____________ format |
A. | CSV |
B. | JSON |
C. | Key-Value |
D. | Java |
Answer» A. CSV |
264. |
Mining social web is transforming curiosity into __________ |
A. | Data |
B. | insights |
C. | Key-Value |
D. | information |
Answer» B. insights |
265. |
Twitter allows people to communicate with ________characters messages |
A. | 140 |
B. | 120 |
C. | 180 |
D. | 100 |
Answer» A. 140 |
266. |
_____________do not require mutual acceptance of a connection between users. |
A. | |
B. | |
C. | |
D. | None of above |
Answer» B. Twitter |
267. |
Calculating simple frequencies applied to unstructured text(tweets) called as ___________ |
A. | lexical diversity |
B. | sparse diversity |
C. | linear diversity |
D. | None of above |
Answer» A. lexical diversity |
268. |
Which are offline generated social media data sources? |
A. | telephone marketing and customer support |
B. | printed press |
C. | E-commerce |
D. | Both a and b |
Answer» D. Both a and b |
269. |
The two ways of data gathering in social media analytics are and . |
A. | API ; web crawling |
B. | online ; offline |
C. | estimated data sources; factual data sources |
D. | None of these |
Answer» A. API ; web crawling |
270. |
The total number of people who see your content is content is termed as . |
A. | impressions |
B. | reach |
C. | post |
D. | economic value |
Answer» B. reach |
271. |
Which platform uses the Graph API as the primary way to get data into and out of the platform? |
A. | |
B. | |
C. | |
D. | None of these |
Answer» A. Facebook |
272. |
What is amplification in social media metrics? |
A. | Total number of Audience Comments (or Replies) Per Post |
B. | Total number of Likes Per Post |
C. | Sum of Short and Long Term Revenue and Cost Savings |
D. | Total number of Shares or Clicks Per Post (or Video) |
Answer» D. Total number of Shares or Clicks Per Post (or Video) |
273. |
Which are the types of visualization in social networks? |
A. | semantic and temporal |
B. | node-link representation and matrix representation |
C. | structural, semantic, temporal and statistical |
D. | None of these |
Answer» C. structural, semantic, temporal and statistical |
274. |
Which are the different layout mechanisms used for visualization of social networks? |
A. | Property-based Layouts and Spectral layouts |
B. | Radial layouts |
C. | Force-directed and Energy-based Layouts |
D. | All of the above |
Answer» D. All of the above |
275. |
Which are the most common data mining applications related to social networking sites? |
A. | Group detection and Recommendation systems |
B. | Data representation |
C. | Group profiling |
D. | Both a and c |
Answer» D. Both a and c |
276. |
What is/are the input(s) to k-means clustering? |
A. | number of clusters |
B. | distance metric |
C. | feature vectors of instances |
D. | All of the above |
Answer» D. All of the above |
277. |
Which measure ranks nodes with more connections higher in terms of centrality? |
A. | Group Centrality |
B. | Degree Centrality |
C. | Eigenvector Centrality |
D. | None of the above |
Answer» B. Degree Centrality |
278. |
What is used for measuring and analyzing transitivity? |
A. | Clustering Coefficient |
B. | Local Clustering Coefficient |
C. | Graph Coefficient |
D. | Both a and b |
Answer» D. Both a and b |
279. |
What defines a centrality measure for the nodes (webpages) in this web-graph? |
A. | Eigenvector Centrality |
B. | Katz Centrality |
C. | PageRank |
D. | Group Centrality |
Answer» C. PageRank |
280. |
In , two nodes are considered similar when they share neighborhoods. |
A. | structural equivalence |
B. | regular equivalence |
C. | Reciprocity |
D. | None of the above |
Answer» A. structural equivalence |
281. |
In , nodes are similar when their neighborhoods are similar. |
A. | transitivity |
B. | centrality |
C. | regular equivalence |
D. | structural equivalence |
Answer» C. regular equivalence |
282. |
Which type of centrality generalizes degree centrality and considers individuals who know many important nodes as central? |
A. | Eigenvector Centrality |
B. | Group Centrality |
C. | Degree Centrality |
D. | Katz Centrality |
Answer» A. Eigenvector Centrality |
283. |
Users exhibit different behaviors on social media: and . |
A. | Individual behavior; Collective behavior |
B. | Individual behavior; Group behavior |
C. | User behavior ; community behavior |
D. | Online user behavior; Group behavior |
Answer» A. Individual behavior; Collective behavior |
284. |
Individual online behavior is classified into how many categories? |
A. | 2 |
B. | 3 |
C. | 5 |
D. | 4 |
Answer» B. 3 |
285. |
What are the categories of Individual Behavior? |
A. | User-User Behavior and User- Community Behavior |
B. | User-Group Behavior and User-Entity Behavior |
C. | User-User Behavior, User-Community Behavior and User- Entity Behavior |
D. | None of the above |
Answer» C. User-User Behavior, User-Community Behavior and User- Entity Behavior |
286. |
In Individual behavior, User-User Bahevior is the behavior individuals exhibit with respect to other |
A. | entity |
B. | social media |
C. | community |
D. | individuals |
Answer» D. individuals |
287. |
In Individual behavior, the target of User-Community behavior is |
A. | entity in social media |
B. | community |
C. | individuals |
D. | Both a and b |
Answer» B. community |
288. |
In Individual behavior, the target of User-Entity behavior is |
A. | individuals |
B. | community |
C. | entity in social media |
D. | user |
Answer» C. entity in social media |
289. |
What is Individual Behavior Analysis? |
A. | It helps to understand how different factors affect indivdual behaviors observed online. |
B. | It helps to understand indivdual behaviors in community. |
C. | It helps to understand behavior of community and entity in social media |
D. | None of the above |
Answer» A. It helps to understand how different factors affect indivdual behaviors observed online. |
290. |
Which type of analysis is used for analyzing content? |
A. | Link analysis |
B. | Link prediction |
C. | Node analysis |
D. | Text analysis |
Answer» D. Text analysis |
291. |
Users often join different communities in social media; the act of becoming a community member is an example of |
A. | User-User Behavior |
B. | User-Community Behavior |
C. | User-Entity Behavior |
D. | None of the above |
Answer» B. User-Community Behavior |
292. |
Which are the steps used to perform behavioral analysis? |
A. | Feature Analysis and Evaluation Strategy |
B. | Observable behavior, Feature-Behavior Association and Evaluation Strategy |
C. | An observable behavior, Features, Feature-Behavior Association and Evaluation Strategy |
D. | Defining features and Observing individual behavior |
Answer» C. An observable behavior, Features, Feature-Behavior Association and Evaluation Strategy |
293. |
A well-known causality detection technique is |
A. | Granger causality |
B. | system causality |
C. | statistical causality |
D. | algorithmic causality |
Answer» A. Granger causality |
294. |
Which are the models of individual behavior used in Individual Behavior Modeling? |
A. | Jaccard Similarity, Common Neighbors |
B. | Preferential Attachment, Jaccard Similarity |
C. | Threshold models, Cascade Models |
D. | None of the above |
Answer» C. Threshold models, Cascade Models |
295. |
When a behavior diffuses in a network, such as the behavior of individuals buying a product and referring it to others, one can use models. |
A. | threshold |
B. | cascade |
C. | game theory |
D. | network |
Answer» A. threshold |
296. |
Which are the Node Neighborhood-Based Methods used for computing the similarity between two nodes? |
A. | Adamic and Adar Measure |
B. | Jaccard Similarity |
C. | Preferential Attachment |
D. | All of the above |
Answer» D. All of the above |
297. |
Which are the methods based on paths between nodes that are used to calculate similarity? |
A. | Katz measure |
B. | Hitting and Commute Time |
C. | Rooted PageRank, SimRank |
D. | All of the above |
Answer» D. All of the above |
298. |
Which are the types of migration that take place in social media sites? |
A. | Site Migration |
B. | Attention Migration |
C. | Both a and b |
D. | None of the above |
Answer» C. Both a and b |
299. |
Collective Behavior Modelling can be performed via models, and |
A. | cascade |
B. | threshold |
C. | network |
D. | Both a and b |
Answer» C. network |
300. |
Which are the features that can be considered for User Migration in social media? |
A. | User network size and user status |
B. | user activity on one site, user network size, and user rank |
C. | User activity on different sites |
D. | None of the above |
Answer» B. user activity on one site, user network size, and user rank |
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