The graph represents a network of 691 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, 29 June 2021 at 16:09 UTC.
The requested start date was Tuesday, 29 June 2021 at 00:01 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, 20-hour, 49-minute period from Tuesday, 15 June 2021 at 02:50 UTC to Monday, 28 June 2021 at 23:40 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 : 691
Unique Edges : 637
Edges With Duplicates : 7034
Total Edges : 7671
Number of Edge Types : 5
Mentions : 699
Retweet : 2776
MentionsInRetweet : 3186
Tweet : 490
Replies to : 520
Self-Loops : 523
Reciprocated Vertex Pair Ratio : 0.145584725536993
Reciprocated Edge Ratio : 0.254166666666667
Connected Components : 36
Single-Vertex Connected Components : 15
Maximum Vertices in a Connected Component : 440
Maximum Edges in a Connected Component : 4306
Maximum Geodesic Distance (Diameter) : 10
Average Geodesic Distance : 3.80517
Graph Density : 0.00302019757125779
Modularity : 0.151048
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 691 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, 29 June 2021 at 16:09 UTC.
The requested start date was Tuesday, 29 June 2021 at 00:01 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, 20-hour, 49-minute period from Tuesday, 15 June 2021 at 02:50 UTC to Monday, 28 June 2021 at 23:40 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:
[2124] #npccertificate,#kyp [2022] join,#npc_india_gov [2022] #npc_india_gov,#webinar [2022] 2021,10 [2022] 10,pm [2022] pm,#npccertificate [1986] swarupandas,join [1112] 27,06 [1112] 06,2021 [1034] #kyp,#hospital Top Word Pairs in Tweet in G1:
[2123] #npccertificate,#kyp [2021] join,#npc_india_gov [2021] #npc_india_gov,#webinar [2021] 2021,10 [2021] 10,pm [2021] pm,#npccertificate [1986] swarupandas,join [1111] 27,06 [1111] 06,2021 [1033] #kyp,#hospital Top Word Pairs in Tweet in G2:
[29] #hcldr,blog [28] hcldr,t3 [28] tonight,#hcldr [23] #hcldr,tweetchat [22] right,complain [19] 30pm,discuss [19] hcldr,t4 [18] loved,one [17] colin_hung,joebabaian [16] t3,think Top Word Pairs in Tweet in G3:
[22] building,blocks [21] organizations,make [17] great,session [17] session,last [17] last,night [17] night,#telemednow [17] #telemednow,covering [17] covering,building [17] blocks,#digitalhealth [17] #digitalhealth,thanks Top Word Pairs in Tweet in G4:
[16] pophealth,week [15] #pophealth,#hcldr [14] covid,19 [13] #hcldr,#pophealth [13] week,hosts [13] hosts,fred [13] fred,goldstein [13] goldstein,gregg [13] gregg,masters [13] masters,talk Top Word Pairs in Tweet in G5:
[3] health,information [3] information,management [3] management,pilot [3] pilot,mistakenly [3] mistakenly,merge [3] merge,records [3] records,different [3] different,people [3] people,struggle [3] struggle,avert Top Word Pairs in Tweet in G6:
[51] icymi,gt [50] harlow,healthcare [50] healthcare,#digitalhealth [50] #digitalhealth,#hcldr [48] #hcldr,#hitsm [9] health,harlow [7] #hitsm,#hcldr [6] gt,megan [6] megan,ranney [6] ranney,professor Top Word Pairs in Tweet in G7:
[9] learn,more [9] #meded,#hcldr [8] great,article [8] article,sage [8] sage,advice [8] advice,jphmpdirect [8] jphmpdirect,dr [8] dr,edward [8] edward,baker [8] baker,conduct Top Word Pairs in Tweet in G8:
[4] suzie_bash,discussing [4] discussing,clubhouse [4] clubhouse,#radiology [4] #radiology,#innovations [4] #innovations,room [4] room,explore [4] explore,#ai [4] #ai,#neuroimaging [4] #neuroimaging,#clinicaltrials [3] #startup,#vc Top Word Pairs in Tweet in G9:
[2] #medtwitter,#hcldr [2] latest,news [2] #hcldr,#hcsm [2] checking,healthcare [2] healthcare,leader [2] leader,colleagues [2] colleagues,forgotten [2] forgotten,supposed [2] supposed,under [2] under,control Top Word Pairs in Tweet in G10:
[2] jimmgrimm1,rad_nation [2] rad_nation,aapmhq [2] aapmhq,sahgalarjun [2] sahgalarjun,tjroycemd [2] tjroycemd,louissconstine [2] louissconstine,bloo_lt_sabr [2] bloo_lt_sabr,sbrtsean [2] sbrtsean,take [2] take,exploration Top Replied-To in Entire Graph:
Top Replied-To in G2:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G10: