The graph represents a network of 850 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 03 March 2021 at 17:09 UTC.
The requested start date was Tuesday, 02 March 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, 22-hour, 17-minute period from Tuesday, 16 February 2021 at 02:24 UTC to Tuesday, 02 March 2021 at 00:42 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 : 850
Unique Edges : 1130
Edges With Duplicates : 3374
Total Edges : 4504
Number of Edge Types : 5
Retweet : 876
MentionsInRetweet : 1470
Tweet : 420
Mentions : 1104
Replies to : 634
Self-Loops : 426
Reciprocated Vertex Pair Ratio : 0.141449275362319
Reciprocated Edge Ratio : 0.247841543930929
Connected Components : 27
Single-Vertex Connected Components : 10
Maximum Vertices in a Connected Component : 761
Maximum Edges in a Connected Component : 4378
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 4.001883
Graph Density : 0.00272846947966466
Modularity : 0.315749
NodeXL Version : 1.0.1.444
Data Import : The graph represents a network of 850 Twitter users whose tweets in the requested range contained "#hcldr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 03 March 2021 at 17:09 UTC.
The requested start date was Tuesday, 02 March 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, 22-hour, 17-minute period from Tuesday, 16 February 2021 at 02:24 UTC to Tuesday, 02 March 2021 at 00:42 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 : #hcldr
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:
[97] last,mile [64] #digitalhealth,#hcldr [54] #hcldr,#hitsm [50] icymi,gt [47] harlow,healthcare [46] healthcare,#digitalhealth [43] #hcldr,blog [40] #hcldr,#pinksocks [39] mile,healthcare [36] tonight,#hcldr Top Word Pairs in Tweet in G1:
[63] last,mile [50] #hcldr,#hitsm [49] icymi,gt [49] #digitalhealth,#hcldr [46] harlow,healthcare [46] healthcare,#digitalhealth [27] self,care [26] tonight,#hcldr [23] hcldr,t3 [20] #hcldr,blog Top Word Pairs in Tweet in G2:
[25] last,mile [23] #hcldr,#pinksocks [15] matter,crisis [15] crisis,heb [15] heb,#texas [15] #texas,proud [15] proud,thanks [15] thanks,staying [15] staying,open [15] open,helping Top Word Pairs in Tweet in G3:
[16] point,#hcldr [16] #hcldr,#telemednow [16] #telemednow,juddhollander [16] juddhollander,franksites2 [16] franksites2,thmtoday [16] thmtoday,lacktman [15] shayanvyas,point [10] #digitalhealth,#hcldr [10] podcast,chrisboyer [9] gix,uph Top Word Pairs in Tweet in G4:
[19] #radonc,#jc [8] asynchronous,portion [7] good,saturday [7] saturday,morning [7] morning,everyone [7] everyone,8am [7] 8am,cst [7] cst,time [7] time,#radonc [7] #jc,asynchronous Top Word Pairs in Tweet in G5:
[5] #hcldr,#nursetwitter [4] #hcldr,blog [3] #nursetwitter,#hcldr [3] read,nurse [3] nurse,physician [3] physician,healthcare [3] healthcare,practitioner [3] practitioner,training [3] training,love [3] love,gentleness Top Word Pairs in Tweet in G6:
[11] public,health [10] attn,public [10] health,workers [10] workers,infographic [10] infographic,brianccastrucci [10] brianccastrucci,chrissiejuliano [10] chrissiejuliano,t_inglesby [10] t_inglesby,four [10] four,steps [9] jlschilling22,attn Top Word Pairs in Tweet in G7:
[7] walt,ellenberger [6] ma,plans [6] ellenberger,saphealth [6] saphealth,healthcare [6] healthcare,environment [6] environment,challenges [6] challenges,result [6] result,#covid19 [5] picked,facebook [5] facebook,memories Top Word Pairs in Tweet in G8:
[13] #ptexp,#hcldr [13] #hcldr,#healthcare [11] berylinstitute,excited [9] excited,announce [9] announce,over [9] over,50 [9] 50,unique [9] unique,sessions [9] sessions,focused [9] focused,elevating Top Word Pairs in Tweet in G9:
[10] #healthcare,during [8] comm_in_care,join [7] join,hku_riich [7] hku_riich,ic4ch [7] ic4ch,cohenntu [7] cohenntu,#hku [7] #hku,international [7] international,symposium [7] symposium,communication [7] communication,#healthcare Top Word Pairs in Tweet in G10:
[6] take,time [5] patient,hospital [5] hospital,doesn [5] doesn,know [5] know,doctor [5] doctor,name [5] name,#healthcare [5] #healthcare,system [5] system,failed [5] failed,take Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G8:
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: