Top 3 Ranked by Betweenness Centrality in Top 10 Influencers #WMIF19 @phsinnovation @evankirstel @aviva1950 – Twitter Analytics by NodeXL http://bit.ly/2KB6cPN for #WMIF19 by @PHSInnovation at World Medical Innovation Forum ARTIFICIAL INTELLIGENCE, Boston, MA USA, Monday, April 8-10, 2019
www.worldmedicalinnovation.org
@symplur‘s #Healthcare Hashtags – Twitter Analytics published for http://bit.ly/WMIF19
- [Top 10 by Mentions – @pharma_BI = 4 with 181 mentions]
- [Top 10 by Tweets @AVIVA1950 = 2 with 229 Tweets (N = 152 Direct messages)]
As World #Medical #Innovation Forum comes to a close, here are TOP #WMIF19 #influencers via @symplur‘s #Healthcare Hashtags 
to organizers for a stellar event & to all on #MedTwitter for a robust conversation! #AI @PHSInnovation @ChrisMarkCOBURN 
http://bit.ly/WMIF19
Third Place in Top 10 Influencers #WMIF19
@phsinnovation @evankirstel @aviva1950
@aviva1950 Tweets, N=152
SOURCE
https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=193125
#WMIF19_2019-04-09_09-37-27.xlsx
View an interactive version of this graph (experimental)
From:
Connected Action NodeXL-Reports
Uploaded on:
April 09, 2019
Short Description:
#WMIF19 via NodeXL http://bit.ly/2KB6cPN
@phsinnovation
@evankirstel
@aviva1950
@partnersnews
@beyondverbal
@dme_jun
@seemacms
@bwhihub
@massgovernor
@doylet
Top hashtags:
#wmif19
#ai
#healthcare
#artificialintelligence
#boston
#innovation
#wmif
#aiinpharma
Description:
- Description
- Author Description
- Overall Metrics
- Top Influencers
- Top URLs
- Top Domains
- Top Hashtags
- Top Words
- Top Word Pairs
- Top Replied-To
- Top Mentioned
- Top Tweeters
Description
The graph represents a network of 731 Twitter users whose recent tweets contained “#WMIF19”, or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Tuesday, 09 April 2019 at 16:40 UTC.
The tweets in the network were tweeted over the 9-day, 18-hour, 32-minute period from Saturday, 30 March 2019 at 22:04 UTC to Tuesday, 09 April 2019 at 16:37 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each “replies-to” relationship in a tweet, an edge for each “mentions” relationship in a tweet, and a self-loop edge for each tweet that is not a “replies-to” or “mentions”.
The graph is directed.
The graph’s vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Highlighted in RED rankings for
@AVIVA1950
@pharma_BI
http://pharmaceuticalintelligence.com
Top Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
| @phsinnovation | |
| Smart Tweet |
| @evankirstel | |
| Smart Tweet |
| @aviva1950 | |
| Smart Tweet |
| @partnersnews | |
| Smart Tweet |
| @beyondverbal | |
| Smart Tweet |
| @dme_jun | |
| Smart Tweet |
| @seemacms | |
| Smart Tweet |
| @bwhihub | |
| Smart Tweet |
| @massgovernor | |
| Smart Tweet |
| @doylet | ||
Top URLs in Tweet in G3:
[3] https://www.fitzroyhealth.com/wmif
[2] https://worldmedicalinnovation.org/agenda/
[2] https://twitter.com/aviva1950/status/1115292614402695169
[1] https://www.fda.gov/downloads/MedicalDevices/DigitalHealth/SoftwareasaMedicalDevice/UCM635052.pdf
[1] https://www.youtube.com/watch?v=AGhC864Wh-0
[1] https://www.youtube.com/watch?v=_wIO2EAM1xw
[1] https://twitter.com/happysylvie/status/1115639128455041025
[1] https://twitter.com/BayerUS/status/1114211171517784064
[1] https://twitter.com/BayerUS/status/1115245439173967872
[1] https://twitter.com/BayerPharma/status/1115259254003458049
Top Domains in Tweet in G2:
[26] twitter.com
[10] bwhclinicalandresearchnews.org
[6] worldmedicalinnovation.org
[5] linkedin.com
[2] lnkd.in
[1] connectwithpartners.org
[1] healthdatamanagement.com
[1] pharmaceuticalintelligence.com
[1] youtube.com
[1] npr.org
Top Words in Tweet in G2:
[415] #wmif19
[236] phsinnovation
[163] #ai
[124] ai
[93] data
[91] dr
[82] care
[81] aviva1950
[80] pharma_bi
[78] healthcare
Top Mentioned in Entire Graph:
| @phsinnovation | ||
| Follow | Smart Tweet | |
| @partnersnews | ||
| Follow | Smart Tweet | |
| @aviva1950 | ||
| Follow | Smart Tweet | |
| @seemacms | ||
| Follow | Smart Tweet | |
| @pharma_bi | ||
| Follow | Smart Tweet | |
| @nvidia | ||
| Follow | Smart Tweet | |
| @brighamwomens | ||
| Follow | Smart Tweet | |
| @gehealthcare | ||
| Follow | Smart Tweet | |
| @massgovernor | ||
| Follow | Smart Tweet | |
| @evankirstel | ||
| Follow | Smart Tweet | |
Top Mentioned in G1:
| @phsinnovation | ||
| Follow | Smart Tweet | |
| @partnersnews | ||
| Follow | Smart Tweet | |
| @gehealthcare | ||
| Follow | Smart Tweet | |
| @nvidia | ||
| Follow | Smart Tweet | |
| @aviva1950 | ||
| Follow | Smart Tweet | |
| @seemacms | ||
| Follow | Smart Tweet | |
| @kieranmurphyceo | ||
| Follow | Smart Tweet | |
| @constancelehman | ||
| Follow | Smart Tweet | |
| @terribresenham | ||
| Follow | Smart Tweet | |
| @bayer | ||
| Follow | Smart Tweet | |
Top Mentioned in G2:
| @phsinnovation | ||
| Follow | Smart Tweet | |
| @aviva1950 | ||
| Follow | Smart Tweet | |
| @brighamwomens | ||
| Follow | Smart Tweet | |
| @partnersnews | ||
| Follow | Smart Tweet | |
| @pharma_bi | ||
| Follow | Smart Tweet | |
| @massgovernor | ||
| Follow | Smart Tweet | |
| @massgeneralnews | ||
| Follow | Smart Tweet | |
| @bwhihub | ||
| Follow | Smart Tweet | |
| @chencao | ||
| Follow | Smart Tweet | |
Top Mentioned in G5:
| @evankirstel | ||
| Follow | Smart Tweet | |
| @phsinnovation | ||
| Follow | Smart Tweet | |
| @irmaraste | ||
| Follow | Smart Tweet | |
| @evirahealth | ||
| Follow | Smart Tweet | |
| @philips | ||
| Follow | Smart Tweet | |
| @aviva1950 | ||
| Follow | Smart Tweet | |
| @pharma_bi | ||
| Follow | Smart Tweet | |
| @health_xl | ||
| Follow | Smart Tweet | |
| @nvidia | ||
| Follow | Smart Tweet | |
| @edvaldez8888 | ||
| Follow | Smart Tweet | |
Top Domains in Tweet in G2:
[26] twitter.com
[10] bwhclinicalandresearchnews.org
[6] worldmedicalinnovation.org
[5] linkedin.com
[2] lnkd.in
[1] connectwithpartners.org
[1] healthdatamanagement.com
[1] pharmaceuticalintelligence.com
[1] youtube.com
[1] npr.org
Top Words in Tweet in G2:
[415] #wmif19
[236] phsinnovation
[163] #ai
[124] ai
[93] data
[91] dr
[82] care
[81] aviva1950
[80] pharma_bi
[78] healthcare
Top Word Pairs in Tweet in Entire Graph:
[131] phsinnovation,#wmif19
[129] medical,innovation
[105] world,medical
[102] pharma_bi,aviva1950
[101] innovation,forum
[59] #wmif19,phsinnovation
[55] looking,forward
[52] first,look
[51] jensen,huang
[47] #wmif19,evankristel
Top Word Pairs in Tweet in G1:
[36] phsinnovation,#wmif19
[23] innovation,forum
[22] world,medical
[22] medical,innovation
[20] #wmif19,phsinnovation
[20] nvidia,ceo
[19] jensen,huang
[18] pharma_bi,aviva1950
[18] #wmif,#wmif19
[17] looking,forward
Top Word Pairs in Tweet in G2:
[77] pharma_bi,aviva1950
[72] phsinnovation,#wmif19
[50] medical,innovation
[38] #wmif19,evankristel
[38] evankristel,pharma_bi
[31] first,look
[30] today,s
[25] world,medical
[25] innovation,forum
[24] aviva1950,phsinnovation
Top Replied-To in Entire Graph:
| @phsinnovation | ||
| Follow | Smart Tweet | |
| @pharma_bi | ||
| Follow | Smart Tweet | |
| @constancelehman | ||
| Follow | Smart Tweet | |
| @massgovernor | ||
| Follow | Smart Tweet | |
| @seemacms | ||
| Follow | Smart Tweet | |
Top Replied-To in G2:
| @phsinnovation | ||
| Follow | Smart Tweet | |
| @pharma_bi | ||
| Follow | Smart Tweet | |
| @massgovernor | ||
| Follow | Smart Tweet | |
| @brighamwomens | ||
| Follow | Smart Tweet | |
| @masseyeandear | ||
| Follow | Smart Tweet | |
| @landmaad | ||
| Follow | Smart Tweet | |
| @peterrchai | ||
| Follow | Smart Tweet | |
| @gilpress | ||
| Follow | Smart Tweet | |
| @nancyatheart | ||
| Follow | Smart Tweet | |
| @brighamresearch | ||
| Follow | Smart Tweet | |
Download the Graph Data as a NodeXL Workbook
Download the Graph Data as GraphML
Download the NodeXL Options Used to Create the Graph
2012pharmaceutical
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Aashir Awan, Phd
Adina Hazan
Alan F. Kaul, PharmD., MS, MBA, FCCP
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aviralvatsa
David Orchard-Webb, PhD
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Dror Nir
dsmolyar
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marzankhan
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ofermar2020
Dr. Pati
pkandala
Rosalind Codrington, PhD
ritusaxena
Rick Mandahl
sjwilliamspa
stuartlpbi
Dr. Sudipta Saha
tildabarliya
zraviv06
zs22
This is a great analysis and I love that you found these two programs, NodeXL and Betweeness Centrality. These offer the best Twitter analytics and node analysis I have ever seen. Thanks for sharing and a great conference and great conference coverage in real time. Show the power of REALTIME CONFERENCE COVERAGE @pharma_BI and @AVIVA1950 as well as power of LBPI
This comment I copy and past into Praising LPBI
Thank you Dr. Williams. Between Centrality is the name of ONE of the algorithms developed by NodeXL for Entire Graph Influence. Please go to https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=193125
to see our handles in G1 and G2
After studying, in depth, the graphic above, one can see a few interesting and very relevant points related to using social media for the purpose of increasing the value and the impact of real time conference coverage. The first point; look at the general shape of the top influencer’s network. These have differing degrees of what I would call spread in relation to the conference they are tweeting about. For Instance of course the conference Twitter handle @PHSInnovation #wmif19 has a very tight network during the conference but interestingly so does the handle @Aviva1950 at this conference. @Nvidia has a loose network as well as some other of the top influencers, which leads to a second observation on connections between influencers, the conference, and within their networks. In addition on this first point @Aviva1950 with @pharma_BI have four cluster of tight intranetworks. These intranetworks expand the ability of twitter reach to other nodes, increasing visibility for the conference. Within the handle there is evident smaller circles in @Aviva1950 as well as the conference @PHSInnovation. These sub networks are actively following Twitter handles which are responding and interacting IN REAL TIME during the conference with the influencer, not seen with @Nvidia for example. The use by a conference of such expansive yet tight following networks and subnetworks can portend into great value for any such conference which would include these type of influencer networks. Lastly one can notice the intranetworks, shown by the green lines connecting the conference handle and the other members in each network. The more connections the more influence the conference has on the community of interested parties, influencers networks, and over social media. @Aviva1950 as well as @pharma_BI shows not only multitude of these disparate connections outside of its network but also many connections with the conference handle within the clusters contained within the @Aviva1950 and @pharma_BI networks. This is not seen in any of the other influencers as I had noticed in previous meetings covered by LBPI and Dr. Lev-Ari: in essence that handles which may have big following due to association with for say a large company does not necessarily result in a big tweet reach but content of individual tweets are more important than the handle tweeted from, for instance a large company, unless that company (in this case LPBI) has developed a history of strong intranetworks and close association with the conference covered. In summary, the work LPBI has done in developing this realtime conference coverage METHODOLOGY adds great social media value to conferences in their ability to disseminate information of that conference to a wide INTERNET audience.
This comment I am including in Document #2 Under Intangible Assets
4/13/2019
Twitter Data for LPBI Group’s Founder’s Twitter handle @AVIVA1950 was updated
On 2/24/2019 — Tweets 8,060 Following 1,412 Followers 359 Likes 2,752
On 4/13/2019 — Tweets 9,018 Following 1,461 Followers 390 Likes 3,654
In 48 days # Follower increases from 359 to 390 – Growth rate of 8%
Three new “I” Followers were selected to be added in 48 days since 4/24/2019 = 25,667 Followers of Followers
Eight new “P” Followers were selected to be added in 48 days since 4/24/2019 = 425,971 Followers of Followers
Total “I” + “P” on 2/24/2019 was 2,580,051
Total “I” + “P” on 4/13/2019 was 3,031,689
Growth Rate of Followers’ Followers 17.5% in 48 days
4/13/2019
@symplur‘s #Healthcare Hashtags – Twitter Analytics published for http://bit.ly/WMIF19
[Top 10 by Mentions – @pharma_BI = 4 with 181 mentions]
[Top 10 by Tweets @AVIVA1950 = 2 with 229 Tweets (N = 152 Direct messages)]
Pinned Tweet
Irma
✨
in #Boston @IrmaRaste Apr 10
More
As World #Medical #Innovation Forum comes to a close, here are TOP #WMIF19 #influencers via @symplur‘s #Healthcare Hashtags
to organizers for a stellar event & to all on #MedTwitter for a robust conversation! #AI @PHSInnovation @ChrisMarkCOBURN
http://bit.ly/WMIF19
Partners HealthCare, GE Healthcare, Brigham Digital Innovation Hub and 6 others
3 replies
12 retweets
15 likes
Dr. Williams,
Please see symplur’s Graph added on top of this POST.