The graph represents a network of 1,381 Twitter users whose recent tweets contained "#hcldr", 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 19:35 UTC.
The tweets in the network were tweeted over the 2103-day, 23-hour, 1-minute period from Friday, 07 April 2017 at 00:48 UTC to Monday, 09 January 2023 at 23:50 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 : 1381
Unique Edges : 1869
Edges With Duplicates : 11080
Total Edges : 12949
Number of Edge Types : 9
MentionsInRetweet : 4164
MentionsInReplyTo : 2674
Retweet : 2359
Quote : 244
Tweet : 1080
MentionsInQuote : 187
Mentions : 1146
MentionsInQuoteReply : 15
Replies to : 1080
Self-Loops : 1483
Reciprocated Vertex Pair Ratio : 0.13578167115903
Reciprocated Edge Ratio : 0.239098190447938
Connected Components : 53
Single-Vertex Connected Components : 29
Maximum Vertices in a Connected Component : 1284
Maximum Edges in a Connected Component : 12725
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 3.81368
Graph Density : 0.00176882956059986
Modularity : 0.177415
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 1,381 Twitter users whose recent tweets contained "#hcldr", 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 1/9/2023 5:00:35 PM. The network was obtained from Twitter on Tuesday, 10 January 2023 at 19:35 UTC.
The tweets in the network were tweeted over the 2103-day, 23-hour, 1-minute period from Friday, 07 April 2017 at 00:48 UTC to Monday, 09 January 2023 at 23:50 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 : #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:
[346] icymi,gt [340] harlow,healthcare [320] #digitalhealth,#hcldr [301] #hcldr,#hitsm [254] healthcare,#digitalhealth [216] health,care [133] #healthcare,#innovation [132] healthblawg,icymi [90] #hcldr,tweetchat [77] #digitalhealth,#healthtech Top Word Pairs in Tweet in G1:
[94] health,care [83] #hcldr,tweetchat [64] #hcldr,#thinkdigitalhealth [47] tonight,#hcldr [44] colin_hung,joebabaian [44] guest,hosts [41] public,health [40] gailyentabeck,hcldr [39] #thinkdigitalhealth,#hcldr [38] hcldr,#hcldr Top Word Pairs in Tweet in G2:
[126] healthblawg,icymi [126] icymi,gt [120] harlow,healthcare [62] next,30 [50] fred,goldstein [50] pophealth,week [50] #pophealth,#hcldr [50] week,hosts [50] starts,listen [50] goldstein,gregg Top Word Pairs in Tweet in G3:
[277] #digitalhealth,#hcldr [219] harlow,healthcare [219] icymi,gt [215] healthcare,#digitalhealth [214] #hcldr,#hitsm [128] #healthcare,#innovation [83] health,care [77] #digitalhealth,#healthtech [75] #digitalhealth,#healthcare [65] #harlowonhc,#digitalhealth Top Word Pairs in Tweet in G4:
[41] dirkmd,#cmio [41] #cmio,perspective [28] dirkstanley,dirkmd [26] #cnio,#cno [26] #cno,#cmo [22] #cmo,#cio [20] #hcldr,#hitsm [18] #cio,#healthit [16] #hitsm,#hcldr [16] #pinksocks,#hcldr Top Word Pairs in Tweet in G5:
[10] care,teams [8] free,gift [8] gift,keeps [8] keeps,giving [8] profound,impact [8] yourself,free [8] quality,improvement [8] giving,quality [8] treat,yourself [8] holiday,gift Top Word Pairs in Tweet in G6:
[41] 2023,escalator [38] take,look [36] award,winners [26] #medtwitter,#hcldr [23] learn,more [21] eight,talented [21] escalator,award [21] excited,introduce [21] talented,physicians [21] seven,countries Top Word Pairs in Tweet in G7:
[3] usnehal,mahealthforkids [3] ashanitw,kerrywilkinsmd [3] drkhan_do,arwmd [3] criley_md,drkhan_do [3] braincoach333,usnehal [3] arwmd,ashanitw [3] mahealthforkids,criley_md [2] make,twitter [2] apksachar,marinasoltan_ [2] went,hell Top Word Pairs in Tweet in G8:
[38] #hcldr,#hitsm [38] #bcsm,#meded [37] #hitsm,#hpm [37] #lcsm,#btsm [37] #meded,#hcldr [37] #hpm,#lcsm [36] #btsm,#hcsmsa [29] #healthcare,#bcsm [15] #compcaremedical,#healthcare [14] #bestchoicewellness4u,#healthcare Top Word Pairs in Tweet in G9:
[13] learn,more [10] health,care [9] read,over [8] #healthmanagement,#healthleaders [8] #hcldr,#healthmanagement [7] proposals,open [7] aha,leadership [7] free,account [7] article,hcmronline [7] journal,archive Top Word Pairs in Tweet in G10:
[21] following,#suicide [19] #nhs,workers [19] looking,#nhs [19] participate,#research [19] #suicide,postvention [19] #research,#suicide [19] workers,participate [18] nhspostvention,#nhs [14] #nhs,#chaplain [14] nhspostvention,looking 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 G5:
Top Replied-To in G7:
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: