The graph represents a network of 1,998 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, 26 January 2021 at 16:56 UTC.
The requested start date was Tuesday, 26 January 2021 at 01:01 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 10-day, 11-hour, 51-minute period from Tuesday, 12 January 2021 at 01:05 UTC to Friday, 22 January 2021 at 12:56 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 : 1998
Unique Edges : 2460
Edges With Duplicates : 5194
Total Edges : 7654
Number of Edge Types : 5
Retweet : 1538
MentionsInRetweet : 2601
Tweet : 977
Mentions : 2320
Replies to : 218
Self-Loops : 1005
Reciprocated Vertex Pair Ratio : 0.0447801456703534
Reciprocated Edge Ratio : 0.0857216627937
Connected Components : 215
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 1507
Maximum Edges in a Connected Component : 6656
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.076403
Graph Density : 0.00097067523206732
Modularity : 0.396578
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 1,998 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, 26 January 2021 at 16:56 UTC.
The requested start date was Tuesday, 26 January 2021 at 01:01 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 10-day, 11-hour, 51-minute period from Tuesday, 12 January 2021 at 01:05 UTC to Friday, 22 January 2021 at 12:56 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:
[132] covid,19 [106] #healthcare,#healthit [103] #healthit,#healthcareit [101] #healthtech,#healthit [93] #healthcareit,#informatics [86] #digitalhealth,#healthit [86] #healthcare,#healthcareit [82] learn,more [80] national,coordinator [79] digital,health Top Word Pairs in Tweet in G1:
[56] national,coordinator [44] donrucker,onc_healthit [38] next,national [31] information,blocking [31] coordinator,health [30] #healthit,#interoperability [30] mickytripathi1,onc_healthit [26] learn,more [25] congrats,mickytripathi1 [24] health,information Top Word Pairs in Tweet in G2:
[63] #ai,#healthtech [53] #healthtech,#healthit [51] #healthit,#healthcareit [49] #healthcareit,#informatics [48] #informatics,#technology [43] #ehealth,#healthit [41] #healthit,#medtech [39] covid,19 [39] #futureofwork,#ai [39] #digitalhealth,#ehealth Top Word Pairs in Tweet in G3:
[45] digital,health [42] egerrit,minvws [34] health,wearables [34] wearables,series [27] #digitalhealth,#wearables [27] healthcare,spend [27] spend,trillion [27] trillion,annual [27] annual,show [27] show,during Top Word Pairs in Tweet in G4:
[77] starts,listen [77] listen,live [26] healthcare,today [25] john,lynn [25] tate,chronicles [25] host,jim [25] jim,tate [24] #healthit,starts [18] colin,hung [18] talking,#healthit Top Word Pairs in Tweet in G5:
[15] #healthtech,#healthit [14] #healthcare,#healthtech [9] #healthcareit,#softwaresolutions [9] #softwaresolutions,#healthcaresoftware [9] #healthcaresoftware,#healthit [7] #healthcare,#healthit [7] more,#blog [7] #blog,#healthcareit [6] #healthit,#healthcare [5] symptom,free Top Word Pairs in Tweet in G6:
[14] gt,gt [8] #healthit,#healthtech [8] startupdates,developments [8] developments,healthcare [8] healthcare,startups [8] turingcom,chromacodeinc [7] chromacodeinc,#healthit [6] #healthit,#digitalhealth [6] startups,turingcom [5] medcitynews,startupdates Top Word Pairs in Tweet in G7:
[9] #healthit,infrastructure [7] national,#healthit [6] #reformhit,#principlesfirst [5] #healthit,headed [5] headed,thoughts [5] thoughts,mickytripathi1 [5] framework,national [4] mickytripathi1,bring [4] past,time [4] time,move Top Word Pairs in Tweet in G8:
[8] documentation,burden [7] thrilled,engaged [7] engaged,reducing [7] reducing,#ehr [7] #ehr,documentation [7] burden,efforts [7] efforts,#25x5 [7] #25x5,sarahrossetti47 [7] sarahrossetti47,columbianursing [7] hhsgov,onc_healthit Top Word Pairs in Tweet in G9:
[35] #simplifyingselection,#healthcare [29] #healthit,#doctors [27] #rdee,#radiologex [27] #radiologex,#medicalimaging [27] #medicalimaging,#hipaa [26] #digitalhealth,#healthit [25] #emrfinder,#simplifyingselection [24] #healthcare,#healthcareit [23] #userauthentication,#healthit [23] #healthit,#medtech Top Word Pairs in Tweet in G10:
[38] symptom,free [27] free,testing [27] testing,available [21] available,medway [21] travelling,work [18] covid,19 [17] work,home [15] work,work [11] medway,residents [11] residents,travelling 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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