Leaders in Pharmaceutical Business Intelligence (LPBI) Group

Institutional versus Personal: Statistical Analysis of Two Twitter Handles – @pharma_BI (LPBI Group’s Official) and @AVIVA1950 (LPBI Group’s Founder’s Personal) – Comparative Analysis of Followers and The Followers of these two Handles’ Followers

Curators: Daniel Menzin, Bsc (exp. 5/2021) and Aviva Lev-Ari, PhD, RN

• Daniel Menzin: Application Developer in Tweepy and Python: Computerized Data Extraction and Analysis
• Aviva Lev-Ari: Curator of the following manually extracted data sets in collaboration with:

 

1. Mostly HONORED to be followed by [from an Excerpt of 117 Followers of the Twitter Account @AVIVA1950 from the List of 359 Followers] by the Number of their Followers on 2/24/2019
2. LPBI Group is mostly HONORED to be followed by [from an Excerpt of 136 Followers of the Twitter Account @pharma_BI from the List of 505 Followers] by the Number of their Followers on 3/20/2019
3. Comparative Analysis of the Level of Engagement for Four Twitter Accounts: @KDNuggets (Big Data) @GilPress @Forbes @pharma_BI @AVIVA1950 by Alex Crystal and Aviva Lev-Ari
4. MEDIA organizations as Followers of @pharma_BI the Official Twitter Account of LPBI Group (136 out of 505 Followers): Number of Followers’ Followers, Institutions (I) and Individuals (Persons(P)), RED = Mostly Honored to be followed by
5. Excerpt of 136 Followers of @pharma_BI (from the List of 505 Followers) by the Number of their Followers on 3/20/2019
6. Excerpt of 117 Followers of @AVIVA1950 (from the List of 359 Followers) by the Number of their Followers
7. REACH – Two Handles on Twitter.com @AVIVA1950 @pharma_BI by Stephen J Williams, PhD
8. For @AVIVA1950, Founder, LPBI Group @pharma_BI: Twitter Analytics [Engagement Rate, Link Clicks, Retweets, Likes, Replies] & Tweet Highlights [Tweets, Impressions, Profile Visits, Mentions, New Followers] https://analytics.twitter.com/user/AVIVA1950/tweets
9. The Digital Age Gave Rise to New Definitions – New Benchmarks were born on the World Wide Web for the Intangible Asset of Firm’s Reputation: Pay a Premium for buying e-Reputation
10. e-Proceedings and Tweet Collections per Conference, 2013-2020, # Views=Downloads x $100: Real Time Coverage of 60 Events by ALA & SJW by Stephen J Williams and Aviva Lev-Ari

 

Comparative Analysis of Followers and The Followers of these two Handles’ Followers: Computerized Data Extraction and Data Analysis

• @pharma_BI (LPBI Group’s Official) and
• @AVIVA1950 (LPBI Group’s Founder’s Personal)

Results to be presented by Daniel Menzin on June 16, 2020 at LPBI Group’s Monthly Meeting with External Relations

Having the performed the Computerized Data Extraction on these two handles, it allows LPBI Group to calculate the following measures for our Twitter activities:

1. Summation for each variable = Total Followers per Account and Total for both Accounts

2. Summation for Total Followers’ Followers per Account and Total for both Accounts

3. Calculation of Ratios per Account

3.1 Institutional/total = xx%

3.2 Persons/Total= yy%

3.3 Media/Institutions / Total = zz%

4. Per Account – Segmentation of # Followers

4.1 per Total

4.2 per All Institutions

4.3 per All Persons

4.4 per Media Followers

5. Based on Bio – Manually I will place a start on the 521 Bios, these are “LPBI is Honored to be Followed by”

• They are TARGETED for a narrowcast message to each about

5.1 LPBI proposing to Follow the Journal,

5.2 List of Categories of Research (# articles in Journal’s archive available for download for $30 each)

5.3 Link to our Books, Title Orice Link to each book on Amazon

5.4 List of e-Proceedings LPBI has for download for $100 per Conference

5.5 List of Tweet Collection for Conference LPBI has for download for $100 per event’s Tweet Collection

6. All Media Followers

Targeted for Narrow casting Message

6.1 LPBI’s Portfolio of products

6.2 LPBI request for exploration of Partnership and Collaboration

7. Statistical Analysis

– 2 Bar Diagrams for each Handle one next to the other for all Total and for % above

– line diagrams

– pie diagrams

8. Narrow Casting messages

• A.  @pharma_BI

a.1 Lists of Institution Followers targeted for Portfolio of Products

a.2 Media Institution targeted for Partnership

a.3 Persons – Proposal to follow the Website

a.4 Persons – Proposal to Publish in the Journal as Guest Author

• B. @AVIVA1950 – List of Institution Followers targeted for

b.1 = a.1

b.2 = a.2

b.3 = a.3

b.4 = a.4