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Showing posts from January, 2020

Data Retrieved from Twitter for Analysis Project

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Introduction             Adventures Works Cycles is currently planning on a marketing campaign for their new product BMX-9000 and in search for opinions and tweets from Twitter who are active on social media of this topic. Data was collected from Twitter with the hashtag BMX to find data that is useful in helping AWC accomplish their goals to market the BMX-9000. Below are some valuable data collected that were analyzed from the Twitter tweet. Graph Metrics Self-Loops are the number of data that self-connections of 837 Connected Components of 460 that are not connected to each other; tweets that do not mention any other user. Graph Density refers to the low density of low amount of users not mention in other tweets Graph Metric Value Graph Type Directed Vertices 1105 Unique Edges 1344 Edges With Duplicates 723 Total Edges 2067 Self-Loops 837

Data Collected and Benefits from Reputation Management

I found this article that states the Benefits of Online Reputation Management-Social Media, I am not going to state all of the benefits but point out a few important ones.               Improving customer satisfaction by gaining insights from consumers       about the good and bad views about company’s products or services.               Increasing the positive perceptions of brands by creating opportunities to listen and engaging with customers.               Obtain insight about competitors and their customer’s perception of their products and services.               Maintaining shareholder value by modifying risk listening to opinions about the company’s business that are broadcast.               Understanding who are the real influencers of the company.                          Understanding the relationships between content generated by the customer and other online media such as news and online print blogs.               Collect insight into online networks and ke