The graph represents a network of 5,267 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 22:43 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 7-hour, 36-minute period from Friday, 16 October 2020 at 16:24 UTC to Friday, 23 October 2020 at 00:00 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.
Author Description
Vertices : 5267
Unique Edges : 4876
Edges With Duplicates : 10827
Total Edges : 15703
Number of Edge Types : 5
Tweet : 2321
Mentions : 3201
Replies to : 191
Retweet : 3984
MentionsInRetweet : 6006
Self-Loops : 2443
Reciprocated Vertex Pair Ratio : 0.0592995674619785
Reciprocated Edge Ratio : 0.111959957850369
Connected Components : 815
Single-Vertex Connected Components : 408
Maximum Vertices in a Connected Component : 3355
Maximum Edges in a Connected Component : 12512
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 5.911463
Graph Density : 0.00027372346329982
Modularity : 0.43634
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 5,267 Twitter users whose tweets in the requested range contained "digitalhealth", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 23 October 2020 at 22:43 UTC.
The requested start date was Friday, 23 October 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 6-day, 7-hour, 36-minute period from Friday, 16 October 2020 at 16:24 UTC to Friday, 23 October 2020 at 00:00 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : digitalhealth
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[854] gt,gt [426] digital,health [293] read,more [260] covid,19 [249] #digitalhealth,#healthcare [236] gt,#digitalhealth [234] #healthcare,#digitalhealth [190] more,#cure [182] #cure,#digitalhealth [168] #digitalhealth,#digital Top Word Pairs in Tweet in G1:
[749] gt,gt [245] read,more [214] gt,#digitalhealth [193] #digitalhealth,#healthcare [190] more,#cure [182] #cure,#digitalhealth [163] #healthcare,#infographic [162] #infographic,#iot [161] #medicine,#medtech [161] #iot,#medicaltechnology Top Word Pairs in Tweet in G2:
[23] #digitalhealth,innovation [22] #digitalhealth,#healthtech [21] johnnosta,today's [20] gnayyar,susannahfox [19] #ar,#xr [19] wearablesexpert,fabiandonate [18] #healthtech,#digitalhealth [18] today's,essential [18] essential,read [18] read,realized Top Word Pairs in Tweet in G3:
[43] digital,health [40] #healthcare,#digitalhealth [27] covid,19 [27] #digitalhealth,#healthtech [25] #healthtech,#digitalhealth [18] learn,more [17] #digitalhealth,#health [17] #ehr,#emr [16] #digitalhealth,#healthit [16] #lyfebulb,#healthcare Top Word Pairs in Tweet in G4:
[86] gt,gt [58] 37,#nhs [58] #nhs,staff [51] place,dhealthldn [50] digital,health [46] successful,gaining [45] gaining,place [42] staff,successful [41] excited,announce [36] one,37 Top Word Pairs in Tweet in G5:
[59] #bhhsummit,october [40] thrilled,count [40] speaker,next [40] next,edition [40] edition,#bhhsummit [40] october,29th [26] bcnhealthhub,thrilled [20] #digitaltransformation,#digitalhealth [20] #digitalhealth,#innovation [20] october,29 Top Word Pairs in Tweet in G6:
[23] virtual,conference [17] care,delivery [15] truly,accelerate [15] accelerate,#digitalhealth [15] #digitalhealth,change [15] change,healthcare [15] healthcare,change [15] change,stand [15] stand,equity [15] equity,care Top Word Pairs in Tweet in G7:
[42] twitter's,shared [42] free,realtime [42] realtime,reports [41] reports,weekly [41] weekly,digests [26] surfaces,twitter's [26] content,free [25] link,first [24] first,spotted [24] spotted,tweet Top Word Pairs in Tweet in G8:
[12] looking,hire [12] hire,ceo [12] ceo,recent [12] recent,startup [12] startup,focused [12] focused,eliminating [12] eliminating,food [12] food,insecurity [12] insecurity,hunger [12] hunger,closed Top Word Pairs in Tweet in G9:
[10] #digitalhealth,#innovation [9] submit,#digitalhealth [7] left,submit [6] webinar,drkatewolin [6] looking,forward [6] forward,presenting [6] presenting,acrmtweets [6] acrmtweets,later [6] later,week [6] week,check Top Word Pairs in Tweet in G10:
[28] digital,health [24] pravene,nath [24] nath,md [24] md,global [24] global,head [24] head,digital [24] health,strategy [24] strategy,shares [24] shares,thoughts [24] thoughts,#covid19 Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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