The graph represents a network of 1,010 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 Tuesday, 28 July 2020 at 17:14 UTC.
The requested start date was Tuesday, 28 July 2020 at 00:01 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 13-day, 23-hour, 8-minute period from Tuesday, 14 July 2020 at 00:45 UTC to Monday, 27 July 2020 at 23:53 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 : 1010
Unique Edges : 1443
Edges With Duplicates : 5755
Total Edges : 7198
Number of Edge Types : 5
Retweet : 1427
MentionsInRetweet : 2427
Mentions : 1698
Replies to : 957
Tweet : 689
Self-Loops : 714
Reciprocated Vertex Pair Ratio : 0.152201257861635
Reciprocated Edge Ratio : 0.264192139737991
Connected Components : 56
Single-Vertex Connected Components : 24
Maximum Vertices in a Connected Component : 852
Maximum Edges in a Connected Component : 6918
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.771373
Graph Density : 0.00269652336888793
Modularity : 0.251439
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 1,010 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 Tuesday, 28 July 2020 at 17:14 UTC.
The requested start date was Tuesday, 28 July 2020 at 00:01 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 13-day, 23-hour, 8-minute period from Tuesday, 14 July 2020 at 00:45 UTC to Monday, 27 July 2020 at 23:53 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:
[184] virtual,care [105] drrbhyat,infoway [75] virtual,visits [59] #hcldr,#hitsm [57] covid,19 [55] #digitalhealth,#hcldr [55] icymi,gt [53] hcldr,drrbhyat [50] guest,hosts [49] urgent,care Top Word Pairs in Tweet in G1:
[149] virtual,care [102] drrbhyat,infoway [60] virtual,visits [51] hcldr,drrbhyat [50] guest,hosts [37] hosts,drrbhyat [31] week,#hcldr [29] keys,maintaining [28] #hcldr,chat [27] tonight,#hcldr Top Word Pairs in Tweet in G2:
[44] ready,walmart [44] walmart,offer [44] offer,ray [44] ray,diagnostic [44] diagnostic,imaging [44] imaging,labs [44] labs,full [44] full,service [44] service,primary [44] primary,urgent Top Word Pairs in Tweet in G3:
[17] virtual,care [13] #houston,stand [13] stand,alone [13] alone,offering [13] offering,very [13] very,excited [13] excited,offer [13] offer,cutting [13] cutting,edge [13] edge,technology Top Word Pairs in Tweet in G4:
[13] tell,patients [12] patients,#familycaregivers [12] #familycaregivers,know [12] know,clarity [12] clarity,plan [12] plan,well [11] gerilynn,tell [8] 29,nasem_health [8] nasem_health,host [8] host,virtual Top Word Pairs in Tweet in G5:
[7] covid,19 [6] article,unhealthyalcdrg [6] unhealthyalcdrg,garyschwitzer [6] garyschwitzer,point [6] point,sums [6] sums,perfectly [6] perfectly,covid [6] 19,pandemic [5] researchmatters,article [4] #pinksocks,#hcldr Top Word Pairs in Tweet in G6:
[55] icymi,gt [53] #hcldr,#hitsm [53] #digitalhealth,#hcldr [36] healthcare,#digitalhealth [35] harlow,healthcare [13] #pophealth,#hcldr [12] pophealth,week [12] week,hosts [12] hosts,fred [12] fred,goldstein Top Word Pairs in Tweet in G7:
[15] virtual,connection [9] during,#covid19 [8] #telehealth,seen [8] seen,bandaid [8] bandaid,solution [8] solution,came [8] came,rescue [8] rescue,during [8] #covid19,lockdowns [7] maintaining,#humanexperience Top Word Pairs in Tweet in G8:
[6] health,insurance [6] #hcsm,#hcldr [6] #hcsm,#cancersm [5] #cancersm,#oncoalert [5] cancer,rights [5] #hcldr,#hcsm [4] #hcldr,#cancersm [4] rights,attorney [4] #oncoalert,#cancersm [4] #beyonddiagnosis,#hcsm Top Word Pairs in Tweet in G9:
[4] daily,conversation [4] conversation,report [4] report,ready [4] ready,#hcldr [4] #hcldr,jul [3] #hcsm,#hcldr [3] #zoobiameer,#matiullahjan [3] #matiullahjan,#ateez [3] #ateez,#nsfwtwitter [3] #nsfwtwitter,#أنا_مفوضتش Top Word Pairs in Tweet in G10:
[8] healthcare,leaders [8] leaders,ethics [8] ethics,guidance [8] guidance,therapeutic [8] therapeutic,palliative [8] palliative,drugs [8] drugs,#covid19 [8] #covid19,hc [8] hc,scholar [8] scholar,berlinger 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: