The graph represents a network of 2,619 Twitter users whose recent tweets contained "HealthIT", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 19:19 UTC.
The tweets in the network were tweeted over the 1192-day, 8-hour, 35-minute period from Saturday, 02 November 2019 at 16:13 UTC to Tuesday, 07 February 2023 at 00:48 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 2619
Unique Edges : 2643
Edges With Duplicates : 9623
Total Edges : 12266
Number of Edge Types : 9
Retweet : 2288
MentionsInRetweet : 3994
Tweet : 1499
Replies to : 355
MentionsInReplyTo : 1469
Mentions : 2209
MentionsInQuote : 321
Quote : 101
MentionsInQuoteReply : 30
Self-Loops : 2168
Reciprocated Vertex Pair Ratio : 0.06606463878327
Reciprocated Edge Ratio : 0.123941150245207
Connected Components : 282
Single-Vertex Connected Components : 185
Maximum Vertices in a Connected Component : 2015
Maximum Edges in a Connected Component : 11083
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 4.415244
Graph Density : 0.000654265663362085
Modularity : 0.313819
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,619 Twitter users whose recent tweets contained "HealthIT", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 2/6/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 07 February 2023 at 19:19 UTC.
The tweets in the network were tweeted over the 1192-day, 8-hour, 35-minute period from Saturday, 02 November 2019 at 16:13 UTC to Tuesday, 07 February 2023 at 00:48 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
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:
[254] #healthtech,#healthit [180] #healthit,#medtech [160] learn,more [151] digital,health [149] #healthcare,#healthit [146] #healthit,#digitalhealth [123] #medtwitter,#meded [116] listen,live [116] starts,listen [111] line,treatments Top Word Pairs in Tweet in G1:
[64] #healthcare,#executive [64] headline,beckershr [64] #executive,#news [64] #healthit,headline [40] hitpolicywonk,onc_healthit [38] uscdi,v4 [36] mickytripathi1,healthit_policy [35] claudiawilliams,hitpolicywonk [34] janoldenburg,mightycasey [34] epatientdave,janoldenburg Top Word Pairs in Tweet in G2:
[116] listen,live [116] starts,listen [111] digital,health [82] learn,more [82] #healthit,#digitalhealth [78] #telehealth,#telemedicine [78] patient,monitoring [78] remote,patient [73] #healthtech,#healthit [71] #digitalhealth,#wearables Top Word Pairs in Tweet in G3:
[113] #medtwitter,#meded [109] line,treatments [107] treatments,#medtwitter [106] apothera,acute [104] seizure,first [96] iron,deficiency [93] apothera,iron [84] dose,regimens [83] #healthit,#bioinformatics [81] latest,#bioit17 Top Word Pairs in Tweet in G4:
[87] #healthcare,#healthcareit [69] #healthit,#cybersecurity [59] #informatics,#healthcare [59] #healthcareit,#technology [57] #healthit,#news [57] #technology,#healthit [49] #healthcareit,#cybersec [48] healthcare,entities [47] ddos,attack [47] attack,vector Top Word Pairs in Tweet in G5:
[116] #healthtech,#healthit [113] #healthit,#medtech [63] #healthit,#healthcareit [60] #informatics,#technology [60] #healthcareit,#informatics [34] news,aggregator [25] consultant,aggregator [25] medcity,news [25] hit,consultant [23] #centralishealth,#ehealthexchange Top Word Pairs in Tweet in G6:
[21] health,tech [21] today,thanks [21] news,today [21] tech,news [20] #healthit,#healthcare [14] #hpegreenlake,qumulo [14] qumulo,leveraging [14] #unstructureddata,#bigdata [14] #bigdata,#hpc [14] leveraging,dedicated Top Word Pairs in Tweet in G7:
[27] #hitsm,#healthit [22] watch,2023 [21] #healthit,#healthcare [21] hit,daily [21] predictions,watch [19] #mobile,#healthit [19] emr,mobile [19] healthcare,emr [19] latest,healthcare [19] mobile,times Top Word Pairs in Tweet in G8:
[4] presentations,mitrecorp [4] #health,#healthsystems [4] access,proceedings [4] proceedings,published [4] published,access [4] access,podcasts [4] mitrecorp,ieeesa [4] ieeesa,gt_law [4] open,access [4] #telehealth,#health Top Word Pairs in Tweet in G9:
[30] #healthcare,#hitsm [26] #healthit,headlines [26] headlines,#hit [26] #hit,thanks [26] today's,#healthit [14] #digitalhealth,#ehealth [11] #medtech,#healthtech [10] #healthit,#medtech [10] #ehealth,#healthit [7] health,care Top Word Pairs in Tweet in G10:
[2] shubhwayal,loganrasco [2] danieltnash,coinexjapan1 [2] fi31ds,brainclipz [2] sompongsaetan,shubhwayal [2] homer2902,chimaijemn [2] munyaradzitambo,fi31ds [2] coinexjapan1,munyaradzitambo [2] ireneoprane,healthit [2] loganrasco,danieltnash [2] 200910118,homer2902 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
Top Replied-To in G7:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: