The graph represents a network of 2,125 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, 27 July 2021 at 16:00 UTC.
The requested start date was Tuesday, 27 July 2021 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 13-day, 23-hour, 40-minute period from Tuesday, 13 July 2021 at 00:19 UTC to Tuesday, 27 July 2021 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 : 2125
Unique Edges : 2257
Edges With Duplicates : 7257
Total Edges : 9514
Number of Edge Types : 5
Retweet : 2347
MentionsInRetweet : 3402
Tweet : 1331
Mentions : 2286
Replies to : 148
Self-Loops : 1439
Reciprocated Vertex Pair Ratio : 0.0490143846563665
Reciprocated Edge Ratio : 0.0934484509903504
Connected Components : 252
Single-Vertex Connected Components : 145
Maximum Vertices in a Connected Component : 1635
Maximum Edges in a Connected Component : 8655
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.59738
Graph Density : 0.00087249363022045
Modularity : 0.351815
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,125 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, 27 July 2021 at 16:00 UTC.
The requested start date was Tuesday, 27 July 2021 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 13-day, 23-hour, 40-minute period from Tuesday, 13 July 2021 at 00:19 UTC to Tuesday, 27 July 2021 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 : 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:
[397] #rstats,#reactjs [366] #reactjs,#iot [292] #python,#rstats [290] #ai,#python [283] #iot,#iiot [189] #bigdata,#ai [178] #healthit,#healthtech [170] #digitalhealth,#healthit [162] #healthcare,#healthcareit [149] #healthit,#healthcareit Top Word Pairs in Tweet in G1:
[44] reporting,program [42] #ehr,reporting [39] program,developer [38] developer,measures [36] draft,#ehr [36] onc_healthit,sequoiaproject [33] #tefca,timeline [31] vision,#interoperability [30] learn,more [30] virtual,onc Top Word Pairs in Tweet in G2:
[156] #healthcare,#healthcareit [142] #healthit,#healthtech [137] #digitalhealth,#healthit [133] #healthit,#healthcareit [130] #simplifyingselection,#healthcare [127] #healthcareit,#informatics [115] #healthit,#doctors [114] #medtwitter,#digitalhealth [105] #healthcareit,#medtwitter [102] #healthtech,#digitalhealth Top Word Pairs in Tweet in G3:
[302] #rstats,#reactjs [279] #reactjs,#iot [206] #python,#rstats [206] #iot,#iiot [204] #ai,#python [152] #bigdata,#ai [124] #analytics,#bigdata [93] #iiot,#nlp [86] break,dna [86] dna,quantum Top Word Pairs in Tweet in G4:
[26] learn,ways [26] ways,digital [26] digital,therapeutics [26] therapeutics,#dtx [26] #dtx,#healthit [26] #healthit,enabling [26] enabling,countless [26] countless,people [26] people,receive [26] receive,effective Top Word Pairs in Tweet in G5:
[29] 12,30 [26] 12,12 [13] 30,pm [13] live,hard [13] hard,start [13] start,stop [13] stop,12 [11] today,12 [9] pm,boston [9] boston,healthcare Top Word Pairs in Tweet in G6:
[69] world,use [69] use,cases [69] cases,infographic [69] infographic,#blockchain [69] #blockchain,#cybersecurity [69] #cybersecurity,#mobile [69] #mobile,#insurtech [69] #insurtech,#ethereum [60] 50,blockchain [60] blockchain,world Top Word Pairs in Tweet in G7:
[14] #rstats,#reactjs [13] #ai,#python [13] #python,#rstats [12] #reactjs,#iot [11] today's,connect [11] connect,health [11] health,edition [11] edition,thanks [10] #healthit,#healthcare [10] #iot,#iiot Top Word Pairs in Tweet in G8:
[20] summer,showcase [13] #ceo,#healthit [12] president,chief [12] chief,executive [11] showcase,virtual [11] virtual,event [11] event,feature [11] feature,two [11] two,days [11] days,live Top Word Pairs in Tweet in G9:
[13] believe,fall [13] fall,around [13] around,corner [13] corner,october [13] october,13 [13] 13,16 [13] 16,chicago [13] chicago,beckershr [13] beckershr,health [13] ambulatory,surgery Top Word Pairs in Tweet in G10:
[4] #healthit,#healthtech [4] innovaccer,health [4] health,cloud [4] #healthtech,#healthit [4] read,autobiographical [4] autobiographical,interview [4] interview,nrip [4] nrip,eatmynewsco [4] eatmynewsco,make [4] make,healthcare 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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Top Tweeters in G10: