The graph represents a network of 3,251 Twitter users whose recent tweets contained "hcsm", 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 19:50 UTC.
The tweets in the network were tweeted over the 4811-day, 5-hour, 8-minute period from Saturday, 02 January 2010 at 19:46 UTC to Tuesday, 07 March 2023 at 00:54 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 : 3251
Unique Edges : 3416
Edges With Duplicates : 10368
Total Edges : 13784
Number of Edge Types : 9
Retweet : 2342
MentionsInRetweet : 5057
Mentions : 1405
MentionsInReplyTo : 1041
Replies to : 226
Tweet : 1867
MentionsInQuote : 1331
Quote : 472
MentionsInQuoteReply : 43
Self-Loops : 2310
Reciprocated Vertex Pair Ratio : 0.048864948056945
Reciprocated Edge Ratio : 0.0931768158473955
Connected Components : 222
Single-Vertex Connected Components : 88
Maximum Vertices in a Connected Component : 1767
Maximum Edges in a Connected Component : 10440
Maximum Geodesic Distance (Diameter) : 16
Average Geodesic Distance : 5.308763
Graph Density : 0.000516006909116722
Modularity : 0.370212
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 3,251 Twitter users whose recent tweets contained "hcsm", 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 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 19:50 UTC.
The tweets in the network were tweeted over the 4811-day, 5-hour, 8-minute period from Saturday, 02 January 2010 at 19:46 UTC to Tuesday, 07 March 2023 at 00:54 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 : hcsm
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:
[578] #mhealth,#hcsm [547] 13th,#internationalepilepsyday [547] sukant_khurana,releasing [547] cure_ion,sukant_khurana [547] #internationalepilepsyday,cure_ion [545] feb,13th [543] releasing,500 [534] #hcsm,#hcsmeu [530] 500,movies [521] 거주지에서,가족이나 Top Word Pairs in Tweet in G1:
[521] 전세계에서,한 [521] 5명의,여성이 [521] 가족이나,연인에 [521] 살해당한,것으로 [521] 거주지에서,가족이나 [521] 시간에,평균 [521] 지난해,전세계에서 [521] 연인에,의해 [521] 여성이,자신의 [521] 것으로,나타났다 Top Word Pairs in Tweet in G2:
[460] cure_ion,sukant_khurana [460] #internationalepilepsyday,cure_ion [460] sukant_khurana,releasing [460] 13th,#internationalepilepsyday [458] feb,13th [456] releasing,500 [443] 500,movies [327] movies,#epilepsyawareness [309] #epilepsyawareness,thousands [309] #hcsm,#medicine Top Word Pairs in Tweet in G3:
[251] #mhealth,#hcsm [210] #hcsm,#hcsmeu [166] top,influencers [126] #hcsm,#hcmkg [76] chidambara09,top [72] important,#hcsm [62] #hcsm,#mhealth [61] global,top [59] mobile,health [55] challenge,#mhealth Top Word Pairs in Tweet in G4:
[17] mohcczim,zimbabwe_health [16] who_zimbabwe,whoafro [13] who_zimbabwe,mohcczim [12] #hcsmzw,#healthforall [11] whoafro,hcsm_zw [11] beatncdszim,mohcczim [10] healthtimeszim,mohcczim [10] zimbabwe_health,hcsm_zw [10] zimbabwe_health,healthtimeszim [10] hcsm_zw,unhcrzimbabwe Top Word Pairs in Tweet in G5:
[111] top,influencers [93] influencers,#aortaed [88] adsept19,top [36] #aortaed,farkomd [24] #aortaed,jvascsurgcit [19] xavierberardmd,rktvascular [18] #aortaed,xavierberardmd [16] vascsurgmd,afifirana [11] draliazizzadeh,awbeckmd [11] grahamtadct,awbeckmd Top Word Pairs in Tweet in G6:
[134] ap,rocky [134] ap,uma [134] falando,significado [134] uma,missão [134] sigla,ap [134] need,speed [134] speed,unbound [134] rocky,falando [134] significado,sigla [134] missão,need Top Word Pairs in Tweet in G7:
[87] podcasts,#doctors [87] soon,#medtwitter [87] 500,movies [87] #hcsm,#medicine [87] #doctors,soon [87] 13th,#internationalepilepsyday [87] books,podcasts [87] releasing,500 [87] cure_ion,sukant_khurana [87] feb,13th Top Word Pairs in Tweet in G8:
[26] learn,more [19] tuesday,see [19] testimonial,tuesday [19] see,dr [19] experience,learn [19] more,dr [19] #medicine,#doctor [19] #hcsm,#healthcare [18] #healthcare,#medicine [17] #orthopedics,#hcsm Top Word Pairs in Tweet in G9:
[84] voice,frontline [84] #onpoli,#onhealth [84] mds,patients [84] frontline,mds [84] honoured,voice [84] senateca,#unfairtaxchanges [84] patients,senateca [84] #unfairtaxchanges,#cdnpoli [84] #cdnpoli,#onpoli [83] dockaurg,honoured Top Word Pairs in Tweet in G10:
[36] #womeninstem,#hcsm [36] #sheforshe,#womeninstem [29] #womeninmedicine,#girlmedtwitter [28] #prowd,#sheforshe [28] #girlmedtwitter,#prowd [23] #shemd,#womeninmedicine [13] #hcsm,#ilooklikeasurgeon [11] social,media [8] medical,pearls [8] accurately,asked Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
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 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: