The graph represents a network of 2,324 Twitter users whose tweets in the requested range contained "HealthIT", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 16:56 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 28-minute period from Tuesday, 28 April 2020 at 00:05 UTC to Monday, 11 May 2020 at 23:33 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 : 2324
Unique Edges : 2785
Edges With Duplicates : 5697
Total Edges : 8482
Number of Edge Types : 5
Retweet : 1805
MentionsInRetweet : 3460
Mentions : 1771
Tweet : 1301
Replies to : 145
Self-Loops : 1355
Reciprocated Vertex Pair Ratio : 0.0417888563049853
Reciprocated Edge Ratio : 0.0802251935256861
Connected Components : 309
Single-Vertex Connected Components : 170
Maximum Vertices in a Connected Component : 1616
Maximum Edges in a Connected Component : 7123
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.140555
Graph Density : 0.0007896415623752
Modularity : 0.436452
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,324 Twitter users whose tweets in the requested range contained "HealthIT", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 May 2020 at 16:56 UTC.
The requested start date was Tuesday, 12 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 23-hour, 28-minute period from Tuesday, 28 April 2020 at 00:05 UTC to Monday, 11 May 2020 at 23:33 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 : HealthIT
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:
[298] covid,19 [239] #ar,#vr [237] #ai,#ar [234] #augmentedreality,surgeon [227] #vr,#machinelearning [215] vrscout,mt [215] mt,jblefevre60 [215] jblefevre60,pawlowskimario [215] pawlowskimario,#ai [211] #machinelearning,#mixedreality Top Word Pairs in Tweet in G1:
[39] final,rule [32] covid,19 [27] cures,act [26] #hl7,#fhir [26] fireside,chat [26] virtual,career [26] career,expo [25] act,final [25] himss,virtual [23] health,information Top Word Pairs in Tweet in G2:
[225] #ai,#ar [224] #augmentedreality,surgeon [224] #ar,#vr [217] #vr,#machinelearning [205] vrscout,mt [205] mt,jblefevre60 [205] jblefevre60,pawlowskimario [205] pawlowskimario,#ai [202] #machinelearning,#mixedreality [189] surgeon,vrscout Top Word Pairs in Tweet in G3:
[96] #healthcare,#healthcareit [93] #digitalhealth,#healthit [79] #healthcareit,#medtwitter [73] #medtwitter,#digitalhealth [70] covid,19 [69] #healthit,#doctors [67] #health,#healthtech [60] #healthtech,#digitalhealth [59] #digitalhealth,#healthcare [57] top,10 Top Word Pairs in Tweet in G4:
[69] covid,19 [64] #healthit,#healthcareit [22] #healthit,#healthcare [21] #healthcare,#healthit [14] learn,more [13] #healthit,#healthtech [12] valuable,medical [12] medical,3d [12] 3d,video [12] video,saving Top Word Pairs in Tweet in G5:
[94] starts,listen [94] listen,live [34] healthcare,today [33] #healthit,starts [31] tate,chronicles [31] host,jim [31] jim,tate [31] #healthit,#healthtech [30] john,lynn [28] #healthcare,#healthit Top Word Pairs in Tweet in G6:
[36] #healthit,#healthcareit [31] #healthcareit,#informatics [31] #informatics,#technology [26] #healthit,#cdwsocial [18] covid,19 [16] cyber,attacks [15] #covid19,themed [15] themed,cyber [15] attacks,hit [15] hit,#healthcare Top Word Pairs in Tweet in G7:
[18] #healthtech,#healthit [17] #healthcare,#healthtech [12] today's,connect [12] connect,health [12] health,edition [12] edition,thanks [8] covid,19 [8] #saas,#baas [7] #healthit,#healthcare [7] #healthit,#medtech Top Word Pairs in Tweet in G8:
[33] #iot,evolution [33] evolution,revolution [27] fisher85m,copy [27] copy,mikequindazzi [27] mikequindazzi,antgrasso [26] revolution,infographic [26] infographic,ipfconline1 [26] ipfconline1,jblefevre60 [20] antgrasso,#iot [17] ht,fisher85m Top Word Pairs in Tweet in G9:
[10] amazon,berkshire [10] berkshire,jpmorgan [10] jpmorgan,health [10] health,care [10] care,venture [10] venture,looking [10] looking,ceo [10] ceo,atul_gawande [10] atul_gawande,set [10] set,move Top Word Pairs in Tweet in G10:
[7] #digitalhealth,#healthcare [7] #healthcare,#healthit [5] covid,19 [4] enjoyed,chatting [4] chatting,rebecca [4] rebecca,physician's [4] physician's,weekly [4] weekly,article [4] article,#healthit [4] #healthit,work Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: