The graph represents a network of 311 Twitter users whose tweets in the requested range contained "medx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 September 2020 at 14:01 UTC.
The requested start date was Saturday, 26 September 2020 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, 48-minute period from Saturday, 12 September 2020 at 00:14 UTC to Friday, 25 September 2020 at 21:02 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 : 311
Unique Edges : 371
Edges With Duplicates : 765
Total Edges : 1136
Number of Edge Types : 5
Replies to : 200
Retweet : 132
MentionsInRetweet : 309
Mentions : 279
Tweet : 216
Self-Loops : 218
Reciprocated Vertex Pair Ratio : 0.0851528384279476
Reciprocated Edge Ratio : 0.156941649899396
Connected Components : 65
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 67
Maximum Edges in a Connected Component : 378
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.254597
Graph Density : 0.00515506690177367
Modularity : 0.404624
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 311 Twitter users whose tweets in the requested range contained "medx", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 26 September 2020 at 14:01 UTC.
The requested start date was Saturday, 26 September 2020 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, 48-minute period from Saturday, 12 September 2020 at 00:14 UTC to Friday, 25 September 2020 at 21:02 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 : medx
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:
[24] medx,holdings [21] medh,medx [16] _pennystacks,medh [15] 5x_lil,medx_707 [14] holdings,inc [14] medx_holdings,the1onlyhans [13] axaxz3,ais591 [13] كل,عام [13] medx,health [13] cmgonews,medx_holdings Top Word Pairs in Tweet in G1:
[23] medx,holdings [21] medh,medx [16] _pennystacks,medh [14] medx_holdings,the1onlyhans [13] holdings,inc [10] holdings,anticipation [10] anticipation,changes [10] changes,management [10] management,approved [10] approved,cancellation Top Word Pairs in Tweet in G2:
[13] medx,health [6] #oralsurgeon,#doctor [6] #doctor,#physician [6] #physician,#app [6] #app,#reliable [6] #reliable,#healthcare [6] #healthcare,#callservice [6] #callservice,#answeringservice [6] #answeringservice,#medicalansweringservice [5] #medicalansweringservice,#office Top Word Pairs in Tweet in G3:
[6] eu,não [2] ead,engenharia [2] engenharia,elétrica [2] não,dou [2] dou,golpe [2] golpe,eu [2] eu,caio [2] caio,golpe [2] vida,quem [2] quem,usa Top Word Pairs in Tweet in G4:
[3] في,الدوري [3] صباح,الخير [2] الدوري,السعودي [2] الشباب,جمهوره [2] جمهوره,قليل [2] وضع,شركة [2] شركة,apple [2] apple,في [2] في,كل [2] كل,مؤتمر Top Word Pairs in Tweet in G5:
[15] 5x_lil,medx_707 [13] كل,عام [13] axaxz3,ais591 [11] ais591,so_so_1010 [11] so_so_1010,5x_lil [9] namx_707,medx_707 [6] medx_707,كل [6] ais591,5x_lil [4] ais591,namx_707 [3] محمد,عبده Top Word Pairs in Tweet in G6:
[13] cmgonews,medx_holdings [12] medx_holdings,cyioscorp [12] cyioscorp,tanctran [12] tanctran,xtrmbio [12] xtrmbio,meihuaxu [12] meihuaxu,progresscareus [12] progresscareus,stwc_consulting [11] therevdc84,cmgonews [9] stwc_consulting,ijjp [8] trader76tx,therevdc84 Top Word Pairs in Tweet in G7:
[6] meet,medx [6] medx,investigator [5] learn,more [5] 2020,pilot [5] pilot,project [5] project,awardees [4] 2020,medx [4] medx,distinguished [4] distinguished,lecture [4] hear,scientist Top Word Pairs in Tweet in G8:
[3] stanfordmedx,aimlabstanford [2] managing,icu [2] icu,surge [2] surge,during [2] during,covid [2] covid,19 [2] 19,crisis [2] crisis,rapid [2] rapid,guidelines [2] guidelines,pash22 Top Word Pairs in Tweet in G9:
[2] nickdawson,bennessb [2] bennessb,whoa [2] whoa,feel [2] feel,written [2] written,topic [2] topic,motivation [2] motivation,#medx [2] #medx,workshop Top Word Pairs in Tweet in G10:
[3] beaverbeaver1,projectlincoln [3] projectlincoln,realdonaldtrump [3] realdonaldtrump,beaverbeaver [2] beaverbeaver,missed [2] missed,mr [2] mr,geisecki [2] geisecki,meantime [2] stanford,medicine [2] co,ycrbexgppd Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G3:
Top Mentioned in G4:
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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: