Description
Practice network concepts and R function choices
If your course uses Analyzing Social Networks Using R, you need to understand the measures and methods as well as work with software. This test bank gives you 150 multiple choice questions across all 15 chapters, with answers and brief explanations. You can practice identifying concepts, comparing network measures and recognizing R functions. Explore the sample questions below, which cover Chapter 2 topics.
What you get
Included
- 150 multiple choice questions with answers
- Brief explanatory text after each answer
- Chapters 1 through 15, with 10 questions each
- A digital file in PDF or Word format
Not included
- The textbook or a printed book
- A solutions manual for textbook exercises
- A set of worked R coding assignments
Check your textbook and edition
Matches this test bank
Analyzing Social Networks Using R
1st edition, 2022. Look for Using R in the title.
Different book
Analyzing Social Networks
The 2nd and 3rd editions without Using R in the title are separate books. Compatibility with those books is not confirmed.
| Authors | Stephen P. Borgatti, Martin G. Everett, Jeffrey C. Johnson and Filip Agneessens |
|---|---|
| Publisher and year | SAGE Publications Ltd, 2022 |
| Paperback ISBN | 9781529722475 |
| Hardcover ISBN | 9781529722482 |
These identifiers are for the textbook. Your purchase is the separate test bank.
Connect R functions with what they measure
A function name is more useful when you know what it does. Questions in chapters 5, 8, 10, 12 and 14 ask you to recognize R operators, functions and their purposes. You can practice those choices and read the brief explanation before returning to your own R work.
The format is multiple choice throughout. Use it alongside the practical work your instructor assigns; it does not replace writing and running your own code.
Sample questions
These 10 sample questions cover topics in Chapter 2, Mathematical Foundations. Choose an answer, then use each card to see its answer and explanation.
1. Two analysts draw the same collaboration network using different layouts. Although the positions of the people change, the people represented and their connections remain identical. What determines the underlying graph?
Answer: C
Explanation: A graph is a mathematical structure defined by vertices and edges. Changing its visual layout does not change the graph if the vertices and their connections remain the same.
2. Employees are asked to identify the colleagues they approach for professional advice. An employee may seek advice from someone who does not seek advice from them. Why are directed edges appropriate for representing these responses?
Answer: A
Explanation: Directed edges preserve the orientation of a relationship. A tie from one employee to another records a specific advice-seeking relationship without assuming that the reverse relationship also exists.
3. A research team collects three types of information about the same group of volunteers: who exchanges advice, who socializes together, and who shares equipment. What makes this a multirelational dataset?
Answer: A
Explanation: Multirelational data capture more than one type of relationship within a shared set of vertices. Advice, social interaction, and equipment sharing constitute separate relations.
Show 7 more sample questions
4. An undirected network contains the edges P–Q, Q–R, R–S, and R–P. Which sequence forms a path without revisiting a vertex?
Answer: B
Explanation: P–Q–R–S follows existing edges and visits each vertex only once. Every other sequence repeats at least one vertex.
5. A route through a network visits one vertex twice, uses no edge more than once, and finishes at a different vertex from where it began. Which term most precisely describes this route?
Answer: B
Explanation: A trail permits repeated vertices but does not permit repeated edges. The repeated vertex prevents this route from being a path, and its different starting and ending vertices prevent it from being a cycle.
6. An analyst temporarily removes the arrowheads from a directed network while retaining every connection. The analyst then identifies the connected components of the resulting undirected graph. What do these groups represent in the original network?
Answer: C
Explanation: Weakly connected components are identified by assessing connectivity without considering edge direction. Strongly connected components require directed reachability in both directions between every pair of vertices in the component.
7. A researcher examines how closely each pair of colleagues is connected, considering both their direct relationship and their connections through other people. Which concept best captures this focus?
Answer: D
Explanation: Dyadic cohesion concerns the closeness or connectedness of a pair of actors. It may be assessed through features such as direct ties, tie strength, or the network paths linking the pair.
8. A binary adjacency matrix uses rows to identify the source of a directed tie and columns to identify its recipient. The entry in Lina’s row and Omar’s column is 1. What does this entry establish?
Answer: B
Explanation: Under the row-to-column convention, the entry records a tie from Lina to Omar. The reverse tie must be checked separately in Omar’s row and Lina’s column.
9. A researcher states that the relation represented by a graph is reflexive. Which feature must the graph contain?
Answer: A
Explanation: A reflexive relation links every element to itself. Its graph therefore contains a self-loop at each vertex; merely permitting self-loops does not establish reflexivity.
10. A square matrix records communication among 12 employees. The rows and columns list the same employees. How should this matrix be classified in terms of its ways and modes?
Answer: D
Explanation: The matrix has two ways because it has two indexing dimensions: rows and columns. It has one mode because both dimensions refer to the same set of employees.
$30.00 USD. The test bank includes 150 questions with answers across all 15 chapters.
Chapters covered
Each chapter has 10 questions with answers. You can work through a complete chapter set in one sitting without assembling questions from separate topic lists.
- Introduction
- Mathematical Foundations
- Research Design
- Data Collection
- Data Management
- Multivariate Techniques Used in Network Analysis
- Visualization
- Local Node Level Measures
- Centrality
- Group Level Measures
- Subgroups and Community Detection
- Equivalence
- Analyzing Two Mode Data
- Introduction to Inferential Statistics for Complete Networks
- ERGMs and SAOMs
Format, delivery and refunds
Format: PDF or Word. Open the delivered file with a compatible PDF reader or Word app. This is a digital product; nothing is shipped.
Delivery: Exam Banks sends an email attachment or an emailed download link after payment. Delivery usually takes a few minutes to a few hours, generally within eight hours. Check your spam or junk folder and the email address used at checkout.
Refunds: You can request a refund before your files are delivered. No refunds are offered after delivery. For help with delivery or a refund request, contact Exam Banks with your order details.
$30.00 USD for the test bank. Only the test bank is sold for this title.
Before you order
Are these answers to the exercises in the textbook?
No. You receive a separate set of multiple choice practice questions and their answers. A textbook solutions manual is not included or offered for this title.
Will these questions appear on my exam?
That is not guaranteed. Your instructor sets your assessments. Use this resource to practice the book’s concepts alongside your textbook, course notes and assigned R work.
What if the delivery email does not arrive?
Check your spam or junk folder. If eight hours have passed, or the checkout email address was incorrect, contact Exam Banks with your order details and correct email address.
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