The graph represents a network of 2,401 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 Wednesday, 23 December 2020 at 16:59 UTC.
The requested start date was Tuesday, 22 December 2020 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, 48-minute period from Tuesday, 08 December 2020 at 01:11 UTC to Tuesday, 22 December 2020 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 : 2401
Unique Edges : 2637
Edges With Duplicates : 6687
Total Edges : 9324
Number of Edge Types : 5
MentionsInRetweet : 3096
Mentions : 2454
Retweet : 2039
Tweet : 1511
Replies to : 224
Self-Loops : 1576
Reciprocated Vertex Pair Ratio : 0.0521609538002981
Reciprocated Edge Ratio : 0.0991501416430595
Connected Components : 260
Single-Vertex Connected Components : 154
Maximum Vertices in a Connected Component : 1825
Maximum Edges in a Connected Component : 8192
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 4.535588
Graph Density : 0.000735110370678884
Modularity : 0.38124
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 2,401 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 Wednesday, 23 December 2020 at 16:59 UTC.
The requested start date was Tuesday, 22 December 2020 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, 48-minute period from Tuesday, 08 December 2020 at 01:11 UTC to Tuesday, 22 December 2020 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:
[252] covid,19 [184] #healthcare,#healthit [167] #healthit,#healthcareit [140] #healthtech,#healthit [130] #healthcareit,#informatics [114] #digitalhealth,#healthit [105] #healthcare,#healthcareit [100] #iot,#iiot [100] physical,therapy [98] #ai,#rstats Top Word Pairs in Tweet in G1:
[154] #healthit,#healthcareit [133] covid,19 [130] #healthcareit,#informatics [97] #iot,#iiot [97] #ai,#rstats [95] #healthcare,#healthit [89] physical,therapy [88] #ai,healthcare [88] healthcare,prevalent [88] prevalent,avenue Top Word Pairs in Tweet in G2:
[60] information,blocking [27] learn,more [26] onc_healthit,gracecordovano [23] onceupona,onc_healthit [22] pssst,information [22] blocking,practices [22] practices,days [21] #hl7,#fhir [21] health,information [20] #healthit,#interoperability Top Word Pairs in Tweet in G3:
[95] starts,listen [95] listen,live [35] healthcare,today [32] #healthit,starts [32] #hit,#hie [31] john,lynn [31] host,jim [31] jim,tate [30] tate,chronicles [30] #hie,#interoperability Top Word Pairs in Tweet in G4:
[29] #ehr,#emr [27] covid,19 [20] #healthcare,#healthit [16] keep,pace [15] pace,today's [15] today's,digital [15] digital,care [15] care,demands [15] demands,#healthcare [15] #healthcare,organizations Top Word Pairs in Tweet in G5:
[29] #healthtech,#healthit [27] #healthtech,#futureofwork [27] #futureofwork,#healthit [24] brain,uploading [24] uploading,become [24] become,reality [24] reality,within [24] within,100 [24] 100,years [24] years,#healthtech Top Word Pairs in Tweet in G6:
[24] national,#healthit [24] #healthit,infrastructure [24] health,care [24] health,information [22] vendor,technology [22] technology,neutral [20] neutral,national [15] health,record [12] #reformhit,#principlesfirst [11] changed,onc_healthit's Top Word Pairs in Tweet in G7:
[60] #vaccineinjury,rare [60] rare,rarely [60] rarely,reported [60] reported,harvard [60] harvard,#study [60] #study,million [60] million,doses [60] doses,45 [60] 45,different [60] different,#vaccines Top Word Pairs in Tweet in G8:
[41] #digitalhealth,#healthit [39] #healthcare,#healthcareit [39] #healthcareit,#medtwitter [39] #medtwitter,#digitalhealth [39] #healthit,#doctors [39] #doctors,#telehealth [39] #telehealth,#publichealth [39] #publichealth,#ehr [39] #ehr,#emr [13] today's,connect Top Word Pairs in Tweet in G9:
[15] cdw_healthcare,#cdwsocial [15] find,more [14] teams,connects [14] connects,patients [14] patients,providers [14] providers,seamless [14] seamless,secure [14] secure,virtual [14] virtual,health [14] health,experiences Top Word Pairs in Tweet in G10:
[8] #healthit,healthitnews [5] partnership,google [5] google,cloud [4] #telehealth,#virtualcare [4] utah,collectivemed [4] collectivemed,being [4] being,acquired [4] acquired,650 [4] 650,million [4] million,pointclickcare 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: