The graph represents a network of 2,047 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, 21 December 2021 at 19:15 UTC.
The requested start date was Tuesday, 21 December 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, 9-hour, 46-minute period from Tuesday, 07 December 2021 at 01:43 UTC to Monday, 20 December 2021 at 11:30 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 : 2047
Unique Edges : 2426
Edges With Duplicates : 8135
Total Edges : 10561
Number of Edge Types : 5
MentionsInRetweet : 4144
Mentions : 2627
Retweet : 2443
Tweet : 1160
Replies to : 187
Self-Loops : 1250
Reciprocated Vertex Pair Ratio : 0.0423877602207173
Reciprocated Edge Ratio : 0.0813282001924928
Connected Components : 194
Single-Vertex Connected Components : 119
Maximum Vertices in a Connected Component : 1691
Maximum Edges in a Connected Component : 9943
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.557296
Graph Density : 0.000992320736399404
Modularity : 0.340346
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,047 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, 21 December 2021 at 19:15 UTC.
The requested start date was Tuesday, 21 December 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, 9-hour, 46-minute period from Tuesday, 07 December 2021 at 01:43 UTC to Monday, 20 December 2021 at 11:30 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:
[445] #rstats,#reactjs [419] #analytics,#machinelearning [404] #machinelearning,#ai [361] #ai,#rstats [320] #iot,#iiot [296] #reactjs,#iot [199] #analytics,#ai [189] #bigdata,#datascience [184] #iiot,#ml [178] #linux,#serverless Top Word Pairs in Tweet in G1:
[435] #rstats,#reactjs [403] #analytics,#machinelearning [388] #machinelearning,#ai [354] #ai,#rstats [308] #iot,#iiot [284] #reactjs,#iot [198] #analytics,#ai [186] #bigdata,#datascience [174] #linux,#serverless [174] #iiot,#ml Top Word Pairs in Tweet in G2:
[136] margaretsiegien,pawlowskimario [99] #ces,#ces2022 [72] company,china [72] china,developing [72] developing,#robotic [72] #robotic,#exoskeletons [72] #exoskeletons,keep [72] keep,workers [72] workers,safe [72] safe,#ces Top Word Pairs in Tweet in G3:
[63] onc_healthit,mickytripathi1 [54] mickytripathi1,erictopol [54] erictopol,johnnosta [54] johnnosta,leahhoustonmd [33] dermhag,onc_healthit [24] connecting4h,onc_healthit [21] onc_healthit,hiring [21] keithmccallin,carolynholmes36 [20] more,information [18] health,care Top Word Pairs in Tweet in G4:
[89] starts,listen [88] listen,live [37] healthcare,today [33] tate,chronicles [33] #healthcare,#healthit [31] #healthit,starts [30] john,lynn [30] host,jim [30] jim,tate [22] leading,edge Top Word Pairs in Tweet in G5:
[20] patient,outcomes [19] latest,net [19] net,health [19] health,therapy [19] therapy,ebook [19] ebook,learn [19] learn,therapeutic [19] therapeutic,alliance [19] alliance,leverage [19] leverage,optimize Top Word Pairs in Tweet in G6:
[19] #ai,currently [19] currently,playing [19] playing,role [19] role,#healthcare [19] #healthcare,today [19] today,primary [19] primary,end [19] end,users [19] users,ai [19] ai,applications Top Word Pairs in Tweet in G7:
[19] patient,centered [17] centered,outcomes [17] outcomes,research [16] #ahrq,funding [15] research,evidence [14] implement,patient [13] artificial,intelligence [13] #healthit,solutions [13] evidence,clinical [12] #desacc,#data Top Word Pairs in Tweet in G8:
[13] #hl7,#fhir [7] sro_healthit,snomedct [7] #healthit,#interoperability [7] jic,openforum [6] jan,18 [6] 18,21 [6] #interoperability,#healthit [6] #fhir,connectathon [6] standard,organisations [5] secure,#fhir Top Word Pairs in Tweet in G9:
[19] #digitalhealth,#healthit [10] miami,beach [10] #healthit,#healthcare [10] learn,more [9] health,tech [9] tech,news [9] news,today [9] today,thanks [7] save,big [7] big,#vive2022 Top Word Pairs in Tweet in G10:
[15] learn,more [15] more,#bigdata [15] #bigdata,components [15] components,#intersystemsiris [15] #intersystemsiris,intersystemsdev [15] intersystemsdev,#healthit [9] hey,looka [9] looka,#linuxforhealth [9] #linuxforhealth,pr [9] pr,following Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: