The graph represents a network of 2,038 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, 15 June 2021 at 15:58 UTC.
The requested start date was Tuesday, 15 June 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, 10-minute period from Tuesday, 01 June 2021 at 00:49 UTC to Tuesday, 15 June 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 : 2038
Unique Edges : 2252
Edges With Duplicates : 7326
Total Edges : 9578
Number of Edge Types : 5
Retweet : 2377
MentionsInRetweet : 3669
Mentions : 2071
Tweet : 1319
Replies to : 142
Self-Loops : 1412
Reciprocated Vertex Pair Ratio : 0.0473506200676437
Reciprocated Edge Ratio : 0.0904198062432723
Connected Components : 228
Single-Vertex Connected Components : 148
Maximum Vertices in a Connected Component : 1531
Maximum Edges in a Connected Component : 8595
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.752196
Graph Density : 0.000895118424938443
Modularity : 0.329689
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,038 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, 15 June 2021 at 15:58 UTC.
The requested start date was Tuesday, 15 June 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, 10-minute period from Tuesday, 01 June 2021 at 00:49 UTC to Tuesday, 15 June 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:
[550] #machinelearning,#ai [542] #ai,#python [480] #python,#rstats [470] #analytics,#machinelearning [390] #rstats,#reactjs [377] #iot,#iiot [364] #reactjs,#iot [245] cell,size [245] size,robots [245] robots,sense Top Word Pairs in Tweet in G1:
[49] health,information [34] health,care [30] mickytripathi1,onc_healthit [26] health,interoperability [23] learn,more [23] access,health [22] #healthit,#interoperability [21] onc_healthit,recently [19] buzz,blog [19] care,community Top Word Pairs in Tweet in G2:
[136] #healthit,#healthtech [105] #healthtech,#digitalhealth [102] #digitalhealth,#healthit [92] #digitalhealth,#medtech [88] #simplifyingselection,#healthcare [82] #healthcare,#healthcareit [78] #healthcareit,#medtwitter [74] #medtwitter,#digitalhealth [72] #medtech,#mhealth [70] #healthit,#doctors Top Word Pairs in Tweet in G3:
[520] #machinelearning,#ai [512] #ai,#python [455] #python,#rstats [449] #analytics,#machinelearning [370] #rstats,#reactjs [352] #iot,#iiot [346] #reactjs,#iot [232] cell,size [232] size,robots [232] robots,sense Top Word Pairs in Tweet in G4:
[31] learn,more [17] #healthcare,#healthit [16] #technology,#healthit [15] #digitalhealth,#healthit [15] #healthit,#ehr [13] net,health [13] health,cio [13] cio,jason [13] jason,james [13] james,recently Top Word Pairs in Tweet in G5:
[93] starts,listen [93] listen,live [34] healthcare,today [32] #healthit,starts [30] john,lynn [30] tate,chronicles [30] host,jim [30] jim,tate [24] talking,#healthit [22] #hitsm,#healthit Top Word Pairs in Tweet in G6:
[48] #augmentedreality,fuses [48] fuses,#healthtech [48] #healthtech,upsurgeon [29] upsurgeon,mvollmer1 [29] mvollmer1,victoryabro [29] victoryabro,frronconi [29] frronconi,nicochan33 [28] curieuxexplorer,#augmentedreality [28] nicochan33,healthca [25] #future,#vaccination Top Word Pairs in Tweet in G7:
[103] #healthit,#doctors [91] #doctors,#telehealth [87] #digitalhealth,#healthit [79] #medtwitter,#digitalhealth [76] #telehealth,#publichealth [66] gt,gt [65] #healthcareit,#medtwitter [61] #healthcare,#healthcareit [55] #ehr,#emr [54] #publichealth,#ehr Top Word Pairs in Tweet in G8:
[11] businesses,covered [10] hipaa,applies [9] specific,entities [8] applies,specific [8] vast,majority [8] majority,businesses [7] entities,vast [7] vast,vast [7] covered,hipaa [7] under,hipaa Top Word Pairs in Tweet in G9:
[7] health,information [7] hhsgov,publish [7] publish,timeline [7] timeline,coming [7] coming,months [7] months,release [7] release,long [7] long,overdue [7] overdue,framework [7] framework,seamless Top Word Pairs in Tweet in G10:
[10] today's,connect [10] connect,health [10] health,edition [10] edition,thanks [10] #healthit,#healthcare [8] #healthcareit,#hipaa [8] #hipaa,#cybersecurity [8] #cybersecurity,#healthit [8] #healthit,#digitalhealth [8] lfpubhealth,launches 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: