The graph represents a network of 2,577 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, 16 February 2021 at 17:00 UTC.
The requested start date was Tuesday, 16 February 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 13-day, 23-hour, 56-minute period from Tuesday, 02 February 2021 at 01:03 UTC to Tuesday, 16 February 2021 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 : 2577
Unique Edges : 2688
Edges With Duplicates : 8117
Total Edges : 10805
Number of Edge Types : 5
Mentions : 2380
Replies to : 167
Retweet : 2901
MentionsInRetweet : 4042
Tweet : 1315
Self-Loops : 1412
Reciprocated Vertex Pair Ratio : 0.0488607000234907
Reciprocated Edge Ratio : 0.0931690929451288
Connected Components : 282
Single-Vertex Connected Components : 175
Maximum Vertices in a Connected Component : 1992
Maximum Edges in a Connected Component : 9800
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.279639
Graph Density : 0.000672606695155665
Modularity : 0.350311
NodeXL Version : 1.0.1.443
Data Import : The graph represents a network of 2,577 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, 16 February 2021 at 17:00 UTC.
The requested start date was Tuesday, 16 February 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 13-day, 23-hour, 56-minute period from Tuesday, 02 February 2021 at 01:03 UTC to Tuesday, 16 February 2021 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 : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[438] #iot,#iiot [365] #rstats,#reactjs [269] #machinelearning,#ai [259] #healthtech,#healthit [246] #analytics,#machinelearning [244] #ml,#nlp [233] #ai,#python [233] #python,#rstats [199] #ai,#machinelearning [196] covid,19 Top Word Pairs in Tweet in G1:
[411] #iot,#iiot [349] #rstats,#reactjs [254] #machinelearning,#ai [235] #analytics,#machinelearning [222] #ai,#python [222] #python,#rstats [219] #ml,#nlp [191] #healthtech,#healthit [188] #reactjs,#iot [183] #ai,#machinelearning Top Word Pairs in Tweet in G2:
[37] learn,more [33] join,onc_healthit [29] health,records [29] #healthit,#doctors [28] #digitalhealth,#healthit [27] #simplifyingselection,#healthcare [26] standards,advisory [25] interoperability,standards [21] advisory,isa [21] isa,2021 Top Word Pairs in Tweet in G3:
[67] #healthit,#healthcareit [64] #healthcareit,#informatics [64] #informatics,#technology [25] #futuremedicine,#technology [25] #medtech,#healthit [24] #digitalhealth,#medtech [22] #telemedicine,#digitalhealth [18] #technology,#healthtech [17] #technology,#healthcare [17] #healthcare,#healthtech Top Word Pairs in Tweet in G4:
[28] hubbucket,prosumersoft [27] #healthit,#healthtech [21] health,system [20] #artificialintelligence,#ai [20] #healthcare,#healthit [19] prosumersoft,hubmedx [19] covid,19 [19] rosenchild,#healthit [16] health,isac [14] #healthit,news Top Word Pairs in Tweet in G5:
[23] #ai,identification [23] identification,objects [23] objects,radiological [23] radiological,images [23] images,#ml [23] #ml,more [23] more,high [23] high,level [23] level,analysis [23] analysis,lung Top Word Pairs in Tweet in G6:
[94] starts,listen [94] listen,live [35] tate,chronicles [33] healthcare,today [32] #healthit,starts [30] john,lynn [30] host,jim [30] jim,tate [25] leading,edge [24] edge,#healthit Top Word Pairs in Tweet in G7:
[64] gt,gt [48] #digitalhealth,#wearables [47] #wearables,series [30] #healthcare,#healthit [29] digital,health [29] gmathews71,dxctechnology [24] health,wearables [24] wearables,series [23] #healthit,#healthtech [22] gt,#healthit Top Word Pairs in Tweet in G8:
[93] #healthcare,#healthcareit [79] #ehr,#emr [61] #healthcare,#healthit [58] #healthit,#healthcareit [54] #digitalhealth,#healthit [53] #healthcareit,#medtwitter [52] #medtwitter,#digitalhealth [52] #healthcareit,#informatics [52] #informatics,#news [46] #healthit,#doctors Top Word Pairs in Tweet in G9:
[7] operational,efficiencies [7] #healthit,leaders [5] strategies,#healthit [5] leaders,use [5] use,break [5] break,down [5] down,silos [5] silos,improve [5] improve,operational [5] efficiencies,register Top Word Pairs in Tweet in G10:
[4] guys,seen [4] seen,agenda [4] agenda,#hdpalooza [4] #hdpalooza,pretty [4] pretty,epic [4] epic,terms [4] terms,content [4] content,speakers [4] speakers,#nerdprom [4] #nerdprom,covid 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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