BIA658C_midterm_fall 2019 answers.doc - BIA 658 Social...

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BIA 658 Social Network Analysis ROHAN PATEL__________Midterm Exam Fall 2019 (name)There are two parts to this exam. Please note that you should refer to the Golbeck (book/videos) and Hanneman book up to week 7 materials. If you use a reference online instead, be sure to include it and also do not use Wikipedia as a reference. Part I – Open Ended Questions (50 points total; 10 points per question)Note: Remember your answers should aim to be four sentences in length at minimum. Use more space for your answers as needed. You can hand draw examples if needed. I am a big supporter of sketches.1.What is the topic you have selected for your semester project and why? List three other topics that would be related to your semester project topic. You do NOT need to have three actual datasets. I am looking for just the topics so you can use them for your examples in questions 2-5 below.2.Explain what makes a social network dataset different than a traditional dataset such as Excel? Provide an example (from the 3 you listed in #1) that compares a social network dataset and a traditional dataset. Be sure to clearly mark the key points.3.What is a matrix and how does a typical matrix differ from an adjacency matrix? Provide an example of both a typical matric and an adjacency matrix (from the 3 you listed in #1). 4.Define what is meant by the shortest path. Explain why finding shortest path between nodes is importantfor social network analysis. Provide an example (from the 3 you listed in #1) of the shortest path.5.Name three types graphs and select one use for the graph to represent social network data. Provide two graph examples (from the 3 you listed in #1).Part II – Practical Application (50 points total)The part requires you to think critically about your dataset. If you do not have a dataset yet, please find a temporary dataset to answer the questions below. You can also draw a sketch if it helps explain.1.Why did you select your dataset for your semester project topic (i.e. what is the problem you are hoping to solve from the dataset you selected)? 2.Explain your dataset in terms of basic demographics (descriptive statistics). What type of statistical analysis do you plan to perform and what software will you use? 3.Using your dataset as a starting point, provide an example of unsupervised learning and a second example of supervised learning. You can either begin with unsupervised or supervised learning and then add more data to your example if needed.1 of 5
BIA 658 Social Network Analysis ROHAN PATEL__________Midterm Exam Fall 2019 (name)Part I1 Ans.The topic I have selected for my semester project is "How news appears on social media". I haveselected this topic because people now-a-days are very much involved in social media than the real

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