The graph represents a network of 2,575 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 Monday, 09 September 2019 at 19:42 UTC.
The requested start date was Monday, 09 September 2019 at 00:01 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 11-day, 6-hour, 50-minute period from Wednesday, 28 August 2019 at 17:10 UTC to Monday, 09 September 2019 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 : 2575
Unique Edges : 4327
Edges With Duplicates : 5055
Total Edges : 9382
Number of Edge Types : 3
Mentions : 7611
Replies to : 281
Tweet : 1490
Self-Loops : 1490
Reciprocated Vertex Pair Ratio : 0.0518027351844177
Reciprocated Edge Ratio : 0.0985027580772262
Connected Components : 278
Single-Vertex Connected Components : 158
Maximum Vertices in a Connected Component : 1946
Maximum Edges in a Connected Component : 8275
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.821687
Graph Density : 0.000765836105641931
Modularity : 0.439465
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[263] #healthtech,#digitalhealth [254] #healthit,#healthcareit [245] #health,#healthtech [244] #healthit,#healthtech [182] #healthtech,#medtech [176] #medtech,#mhealth [149] #digitalhealth,#healthcare [140] #healthcare,#healthit [112] #mhealth,etc [102] #healthcare,#medtech Top Word Pairs in Tweet in G1:
[260] #healthtech,#digitalhealth [242] #health,#healthtech [232] #healthit,#healthtech [180] #healthtech,#medtech [174] #medtech,#mhealth [145] #digitalhealth,#healthcare [111] #mhealth,etc [102] #healthcare,#medtech [86] #healthcare,#healthit [73] #medtech,#healthit Top Word Pairs in Tweet in G2:
[68] nprshot,whitehouse [68] whitehouse,rosadelauro [67] rosadelauro,senblumenthal [66] senblumenthal,chrismurphyct [66] chrismurphyct,nprhealth [58] nprhealth,j_r_a_m [51] starts,now [51] now,listen [51] listen,live [45] cmsgov,onc_healthit Top Word Pairs in Tweet in G3:
[15] watch,video [14] location,based [14] based,services [14] services,healthcare [14] healthcare,watch [14] video,see [14] lbs,improve [14] improve,security [14] security,user [14] user,experience Top Word Pairs in Tweet in G4:
[17] #hitsm,#healthit [9] #innovation,#healthit [8] health,data [8] healthcare,data [8] data,harmony [8] join,flaglerhospital [8] flaglerhospital,infobldrs [8] ciochime,#cpes19 [7] congratulations,drnstrickland [7] drnstrickland,president Top Word Pairs in Tweet in G5:
[21] #healthcare,#healthit [15] #healthit,#healthcare [13] #healthit,kevinmd [10] today,s [9] s,medicine [9] medicine,medicine [9] medicine,signed [9] signed,up [9] up,#physician [9] #physician,#healthit Top Word Pairs in Tweet in G6:
[55] #vaccineinjury,rare [55] rare,rarely [55] rarely,reported [55] reported,harvard [55] harvard,#study [55] #study,1 [55] 1,4 [55] 4,million [55] million,doses [55] doses,45 Top Word Pairs in Tweet in G7:
[10] health,systems [9] last,call [9] call,questions [9] questions,want [9] want,ask [9] ask,healthblawg [9] healthblawg,patient [9] patient,generated [9] generated,data [9] data,health Top Word Pairs in Tweet in G8:
[15] #ai,#ml [15] https,t [15] t,co [14] #ml,#machinelearning [14] #cio,#cto [14] #cto,#cdo [14] #cdo,#ciso [14] #ciso,#healthtech [14] #healthtech,#hit [13] mean,#healthcare Top Word Pairs in Tweet in G9:
[20] right,see [20] see,medical [20] medical,records [20] records,hard [20] hard,hmkyale [19] lead_coalition,right [19] hmkyale,j [16] using,#predictiveanalytics [16] #predictiveanalytics,clinical [16] clinical,workflow Top Word Pairs in Tweet in G10:
[5] meet,newest [5] newest,#digitalhealth [5] #digitalhealth,today [5] today,ambassadors [5] ambassadors,add [5] add,voice [5] voice,time [5] time,energy [5] energy,mission [5] mission,inspiring Top Replied-To in Entire Graph:
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Top Tweeters in Entire Graph:
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