The graph represents a network of 2,593 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, 18 February 2020 at 02:22 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 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 10-day, 13-hour, 42-minute period from Tuesday, 04 February 2020 at 02:00 UTC to Friday, 14 February 2020 at 15:43 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 : 2593
Unique Edges : 4360
Edges With Duplicates : 4393
Total Edges : 8753
Number of Edge Types : 4
Replies to : 209
Mentions : 2930
Tweet : 1435
MentionsInRetweet : 4179
Self-Loops : 1435
Reciprocated Vertex Pair Ratio : 0.0534011443102352
Reciprocated Edge Ratio : 0.101388050694025
Connected Components : 372
Single-Vertex Connected Components : 220
Maximum Vertices in a Connected Component : 1846
Maximum Edges in a Connected Component : 7512
Maximum Geodesic Distance (Diameter) : 12
Average Geodesic Distance : 4.613803
Graph Density : 0.000739615917498679
Modularity : 0.466313
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 2,593 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, 18 February 2020 at 02:22 UTC.
The requested start date was Tuesday, 18 February 2020 at 01:01 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 10-day, 13-hour, 42-minute period from Tuesday, 04 February 2020 at 02:00 UTC to Friday, 14 February 2020 at 15:43 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:
[248] #healthit,#healthtech [240] #healthit,#healthcareit [153] #healthcare,#healthit [130] hubbucket,prosumersoft [128] #iot,evolution [128] evolution,revolution [121] #healthtech,#medtech [105] #artificialintelligence,#ai [97] starts,listen [97] listen,live Top Word Pairs in Tweet in G1:
[55] health,data [34] access,data [27] patients,deserve [27] deserve,free [27] free,timely [27] timely,access [27] data,partisan [27] partisan,american [27] american,proud [27] proud,proposed Top Word Pairs in Tweet in G2:
[153] #healthit,#healthtech [129] hubbucket,prosumersoft [110] #healthtech,#medtech [92] #artificialintelligence,#ai [82] #medtech,#mhealth [63] #machinelearning,#deeplearning [52] #ehealth,#healthit [45] #deeplearning,#algorithms [42] design,develop [41] #sagemaker,studio Top Word Pairs in Tweet in G3:
[97] starts,listen [97] listen,live [53] #healthit,#healthcareit [38] #healthcareit,#informatics [38] #informatics,#technology [30] healthcare,today [29] #healthcare,#healthit [27] john,lynn [26] justin,barnes [26] tate,chronicles Top Word Pairs in Tweet in G4:
[175] #healthit,#healthcareit [38] work,#healthit [38] stat,plus [37] advancements,#ai [37] #ai,allow [37] allow,enhanced [37] enhanced,precision [37] precision,creating [37] creating,panels [37] panels,actionable Top Word Pairs in Tweet in G5:
[50] gt,gt [39] #healthit,#healthtech [35] hospital,#china [35] #china,installed [35] installed,#5g [35] #5g,infrared [35] infrared,temperature [35] temperature,monitoring [35] monitoring,device [35] device,read Top Word Pairs in Tweet in G6:
[128] #iot,evolution [128] evolution,revolution [94] #cybersecurity,#iiot [94] #iiot,#bigdata [90] #bigdata,fisher85m [70] revolution,infographic [70] infographic,ipfconline1 [70] ipfconline1,jblefevre60 [66] jblefevre60,#cybersecurity [66] fisher85m,#sensors Top Word Pairs in Tweet in G7:
[38] #healthit,#cdwsocial [23] cdw_healthcare,#healthit [19] #cybersecurity,#healthit [18] #aiinhealthcare,#ai [16] #ai,#digitalhealth [15] #digitalhealth,#healthcaresolutions [15] #healthcaresolutions,#healthcaretechnology [15] #healthcaretechnology,#healthdata [15] #healthdata,#healthinnovation [15] #healthinnovation,#healthtechnology Top Word Pairs in Tweet in G8:
[9] #healthit,#digitalhealth [9] intersystems,healthshare [9] healthshare,health [9] health,connect [9] intersystemsdev,#intersystems [9] #healthit,gt [9] gt,gt [8] #digitalhealth,#healthtech [8] #ai,powered [7] patient,outcomes Top Word Pairs in Tweet in G9:
[31] excited,welcome [31] welcome,#drbrendablunt [31] #drbrendablunt,cvpcorp [31] cvpcorp,#cvphealth [31] #cvphealth,board [31] board,3rd [31] 3rd,annual [31] annual,digital [31] digital,health [31] health,#cxotechforum Top Word Pairs in Tweet in G10:
[3] fooled,'f' [3] 'f',word [3] word,#digitalfax [3] #digitalfax,technology [3] technology,move [3] move,#healthcare [3] #healthcare,forward [3] forward,helping [3] helping,reduce [3] reduce,ftes Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: