Data Retrieved from Twitter for Analysis Project

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
Reciprocated Vertex Pair Ratio	0.023423423
Reciprocated Edge Ratio	0.045774648
Connected Components	460
Single-Vertex Connected Components	291
Maximum Vertices in a Connected Component	199
Maximum Edges in a Connected Component	535
Maximum Geodesic Distance (Diameter)	12
Average Geodesic Distance	4.608656
Graph Density	0.000931209
Modularity	Not Applicable
NodeXL Version	1.0.1.418

Vertices Table

Table of the first 13 users

In-Degree that are large value in yellow are users frequently mentioned in others tweets.

Out-Degree that are large value in orange are users who frequently mention other people.

Followed in light green is the number of people that person follows.

Followers in light lavender is the number of followers that person has.

Tweets in light brown is the number of tweets that have originated.

Location in light blue represents the location of the person.

Joined in light pink represents how long the person has been on Twitter.

Custom Menu Items Action in orange is the link to each user’s profile.

Connection of “BMX” Tweets Graph

The closed loops are the users that do not mention another user in the tweet.

Top 10 Key Influencers

In this table AWC wanted to know who the top 10 influencers of BMX tweet are; I did a filter of the largest to smallest followers and number from 1-10. As shown in the table above YouTube is the first influencer, along with Rockstargames, Nateophotos and Monsterenergy.

I decided to do the filter by the largest amount of followers as influencers because that will show who has the most people following and viewing the user. Companies and or person such as YouTube, Monster Energy, and Red Bull are well known companies and brands in the market. But if AWC wanted to know who the remainder of top 10 users; they will have to do some research using the link to find out more about the unknown user.  

Example, if AWC has done their research and found out that Rock Star Games were a BMX game tournament and Vans_66, Cirque, Koyabukazutoyo, and Boohoo are famous cyclers or highly users in the BMX cycling market; AWC would want to contact them to help in the marketing campaign.  AWC could use sponsors such as Red Bull or Monster Energy with their products in the marketing and promote it through YouTube.

This data retrieved from Twitter not only shows the most dominated influencer but also shows the connection in marketing for a business through high analyzation.