The graph represents a network of 2,943 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 Thursday, 21 November 2019 at 01:12 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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 12-day, 2-hour, 38-minute period from Wednesday, 06 November 2019 at 22:21 UTC to Tuesday, 19 November 2019 at 01:00 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 : 2943
Unique Edges : 4563
Edges With Duplicates : 3893
Total Edges : 8456
Number of Edge Types : 3
Mentions : 6886
Replies to : 147
Tweet : 1423
Self-Loops : 1423
Reciprocated Vertex Pair Ratio : 0.0340136054421769
Reciprocated Edge Ratio : 0.0657894736842105
Connected Components : 289
Single-Vertex Connected Components : 154
Maximum Vertices in a Connected Component : 2168
Maximum Edges in a Connected Component : 7376
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.715909
Graph Density : 0.00057932810413492
Modularity : 0.505891
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 2,943 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 Thursday, 21 November 2019 at 01:12 UTC.
The requested start date was Tuesday, 19 November 2019 at 01:01 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 12-day, 2-hour, 38-minute period from Wednesday, 06 November 2019 at 22:21 UTC to Tuesday, 19 November 2019 at 01:00 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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[553] #health,#healthtech [466] #healthtech,#digitalhealth [345] #digitalhealth,#healthcare [223] #healthcare,#medtech [198] #medtech,#healthit [160] #healthit,#medtwitter [130] #healthit,#healthtech [127] #healthit,#healthcareit [120] #healthcare,#healthit [106] #medtwitter,#mhealth Top Word Pairs in Tweet in G1:
[516] #health,#healthtech [408] #healthtech,#digitalhealth [310] #digitalhealth,#healthcare [206] #healthcare,#medtech [175] #medtech,#healthit [147] #healthit,#medtwitter [96] #medtwitter,#mhealth [88] #healthit,#healthtech [57] irmaraste,evirahealth [51] #medtech,#mhealth Top Word Pairs in Tweet in G2:
[34] annual,meeting [32] check,out [28] researcher,dr [26] rti_healthit,researcher [25] #ahrq,finding [22] health,research [20] #ahrq,key [20] key,finding [20] patient,safety [19] learn,more Top Word Pairs in Tweet in G3:
[66] #hie,#ehr [56] #healthit,#hie [33] #healthit,#hit [32] #hit,#hie [27] create,care [27] care,connected [26] connected,communities [20] learn,more [20] #glhcsummit19,#healthit [20] #healthtech,#aiinhealthcare Top Word Pairs in Tweet in G4:
[11] #healthcare,#healthit [10] #healthit,#healthcare [9] image,collection [9] #telehealth,#telemedicine [9] #healthit,#telehealth [8] #digitalhealth,#healthit [8] #telemedicine,#imst [7] health,data [7] #healthit,#himss [7] learn,more Top Word Pairs in Tweet in G5:
[6] health,information [6] s,#burnout [6] #burnout,s [6] s,placing [6] placing,#doctors [6] #doctors,moral [6] moral,bind [6] bind,s [6] s,being [6] being,war Top Word Pairs in Tweet in G6:
[16] ehr,#ehr [13] #healthit,influencers [12] mrmazharshah,practice [11] #healthit,#healthcare [11] practice,ehr [11] ehr,named [11] named,top [11] top,20 [11] 20,popular [11] popular,ehr Top Word Pairs in Tweet in G7:
[79] starts,now [79] now,listen [79] listen,live [26] healthcare,today [25] tammy,clark [25] clark,starts [21] risk,adjustment [18] #hitmc,starts [17] transformed,transforming [17] transforming,#healthit Top Word Pairs in Tweet in G8:
[7] 1,vaccine [7] less,1 [4] jamesdieckhoff,swperth11 [4] swperth11,cernovich [4] cernovich,yes [4] yes,let's [4] let's,fight [4] fight,misinformation [4] misinformation,less [4] vaccine,injuries Top Word Pairs in Tweet in G9:
[19] #healthcare,#healthit [16] #healthit,#healthtech [9] make,sure [8] thurs,nov [7] electronic,medical [7] medical,record [7] data,center [7] solutions,help [6] patient,information [6] zero,downtime Top Word Pairs in Tweet in G10:
[10] artificial,intelligence [9] #artificialintelligence,#ai [9] #ai,#healthit [8] intelligence,risks [5] derivehealth,derivetech [4] #hospitalsupplychain,more [4] patient,care [4] #hospitalsupplychain,costs [4] medproprotector,artificial [3] predictive,analytics Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: