The graph represents a network of 2,717 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 Wednesday, 07 April 2021 at 16:02 UTC.
The requested start date was Tuesday, 06 April 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, 56-minute period from Tuesday, 23 March 2021 at 00:04 UTC to Tuesday, 06 April 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 : 2717
Unique Edges : 3126
Edges With Duplicates : 7179
Total Edges : 10305
Number of Edge Types : 5
Mentions : 2536
MentionsInRetweet : 3698
Retweet : 2301
Tweet : 1639
Replies to : 131
Self-Loops : 1703
Reciprocated Vertex Pair Ratio : 0.0478184222124284
Reciprocated Edge Ratio : 0.0912723449001051
Connected Components : 359
Single-Vertex Connected Components : 251
Maximum Vertices in a Connected Component : 1983
Maximum Edges in a Connected Component : 8894
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.259931
Graph Density : 0.000644363775128832
Modularity : 0.389447
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 2,717 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 Wednesday, 07 April 2021 at 16:02 UTC.
The requested start date was Tuesday, 06 April 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, 56-minute period from Tuesday, 23 March 2021 at 00:04 UTC to Tuesday, 06 April 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:
[280] #rstats,#reactjs [277] #digitalhealth,#healthit [251] #healthit,#doctors [195] #healthcare,#healthcareit [193] #medtwitter,#digitalhealth [182] covid,19 [177] #iot,#iiot [162] #doctors,#telehealth [150] #telehealth,#publichealth [147] #healthcareit,#medtwitter Top Word Pairs in Tweet in G1:
[113] annual,meeting [61] information,blocking [57] learn,more [43] #onc2021,annual [42] onc_healthit,annual [39] uscdi,v2 [33] draft,uscdi [26] health,information [25] april,15 [25] 15,learn Top Word Pairs in Tweet in G2:
[280] #rstats,#reactjs [177] #iot,#iiot [146] #reactjs,#iot [142] #ai,#python [142] #python,#rstats [131] #machinelearning,#ai [128] #ai,#rstats [127] #analytics,#machinelearning [119] margaretsiegien,pawlowskimario [99] #analytics,#bigdata Top Word Pairs in Tweet in G3:
[25] #healthcare,#healthtech [22] #digitalhealth,#medtech [22] #medtech,#healthit [20] #healthtech,#medicine [16] #cmio,perspective [10] #healthtech,#digitalhealth [10] #telemedicine,#digitalhealth [9] #medicine,#telemedicine [8] #iot,#healthcare [8] #technology,#healthcare Top Word Pairs in Tweet in G4:
[76] #fortinet's,troy [76] troy,ament [76] ament,explains [76] explains,#healthit [76] #healthit,professionals [76] professionals,effectively [76] effectively,manage [76] manage,risk [76] risk,threats [76] threats,impact Top Word Pairs in Tweet in G5:
[230] #healthit,#doctors [219] #digitalhealth,#healthit [175] #medtwitter,#digitalhealth [154] #healthcare,#healthcareit [145] #doctors,#telehealth [138] #healthcareit,#medtwitter [136] #telehealth,#publichealth [128] #simplifyingselection,#healthcare [119] #ehr,#emr [117] #publichealth,#ehr Top Word Pairs in Tweet in G6:
[70] #healthit,#healthcareit [68] #healthcareit,#informatics [67] #informatics,#technology [42] #healthit,#medtech [28] #radiologex,#medicalimaging [28] #medicalimaging,#hipaa [28] #userauthentication,#healthit [28] #medtech,#saas [28] #saas,#baas [28] #baas,#patientdata Top Word Pairs in Tweet in G7:
[39] pawlowskimario,visual [39] visual,#guide [39] #guide,human [39] human,#emotions [39] #emotions,visualcap [39] visualcap,#psychology [39] #psychology,#brain [39] #brain,#human [39] #human,#emotion [39] #emotion,#healthit Top Word Pairs in Tweet in G8:
[41] disruptive,plans [41] plans,future [41] future,health [41] health,involve [41] involve,internet [41] internet,bio [41] bio,nano [41] nano,things [41] things,iobnt [41] iobnt,transhumanism Top Word Pairs in Tweet in G9:
[22] check,video [22] video,integratedml [22] integratedml,feature [22] feature,#intersystemsiris [22] #intersystemsiris,data [22] data,platform [22] platform,allows [22] allows,developers [17] machine,learning [17] #healthit,#digitalhealth Top Word Pairs in Tweet in G10:
[5] nhsx,nhsdigital [5] nhsdigital,sarahfwilkinson [5] sarahfwilkinson,matthancock [5] matthancock,matthewsgould [5] jobs,board [5] board,busy [5] busy,lots [5] lots,great [5] great,opportunities [5] opportunities,work Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G5:
Top Replied-To in G8:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G3:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
Top Tweeters in G6:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: