Netlytic is an adequately designed analytical framework that demonstrates significant results in the extraction and analysis of social networks from online conversations. For the Netlytic social media data analysis, I have chosen the Dunkin Donuts account on Twitter (@dunkindonuts). The conducted research provided the following types of information available from the Twitter data collected regarding the users’ personal information and tweets’ data for 2500 tweets (2021):
- ky information about the tweet;
- favorite count, retweet count;
- language and quoted text;
- tweet type: in reply to screen name, in reply to user, in reply to status id, retweeted;
- user id, profile image URL;
- user statuses, friends, and followers count,
- date when user created the profile, user biography, location, and verification.
I would characterize the data as superficial because the information provided by the Netlytic is apparent on the Dunkin Donuts’ Twitter account; it did not represent deep research of the data provided. However, the obtained data illustrates some interesting observations. The particular insights I can draw from the data imply that Netlytic demonstrates how a single tweet is connected to the variety of related data and users throughout the Twitter network. One of the surprises lurking in the data refers to the amount of personal information presented in the analysis, including the date of the profile creation, users’ biography, user friends, and followers. Netlytic also enables the visual representation of the selected network, which helps explore how smaller networks are connected in the bigger ones. Netlytic significantly helps make sense of the social media data that is continually used without users’ consent, meaning that online users have to remain watchful of the information they provide online (Meneses, 2019). However, I believe that Netlytic involves all the useful information regarding social media analysis, as it presents the micro- and macro-level social network analysis through visualizations.
Reference
Meneses, L. (2019). Netlytic. Early Modern Digital Review, 2(1), 352–357.