The graph represents a network of 323 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, 28 November 2020 at 14:14 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 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, 21-hour, 11-minute period from Saturday, 14 November 2020 at 01:42 UTC to Friday, 27 November 2020 at 22:54 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 : 323
Unique Edges : 378
Edges With Duplicates : 919
Total Edges : 1297
Number of Edge Types : 5
Replies to : 324
Retweet : 138
MentionsInRetweet : 232
Tweet : 208
Mentions : 395
Self-Loops : 209
Reciprocated Vertex Pair Ratio : 0.150627615062762
Reciprocated Edge Ratio : 0.261818181818182
Connected Components : 47
Single-Vertex Connected Components : 23
Maximum Vertices in a Connected Component : 112
Maximum Edges in a Connected Component : 538
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 2.835391
Graph Density : 0.00528815645251236
Modularity : 0.349044
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 323 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, 28 November 2020 at 14:14 UTC.
The requested start date was Saturday, 28 November 2020 at 01:01 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, 21-hour, 11-minute period from Saturday, 14 November 2020 at 01:42 UTC to Friday, 27 November 2020 at 22:54 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:
[22] change,join [22] virtual,conference [18] time,change [18] join,focus [18] focus,future [18] future,health [18] health,care [18] care,ready [18] ready,use [18] use,learn Top Word Pairs in Tweet in G1:
[21] change,join [21] virtual,conference [18] time,change [18] join,focus [18] focus,future [18] future,health [18] health,care [18] care,ready [18] ready,use [18] use,learn Top Word Pairs in Tweet in G2:
[11] namx_707,medx_707 [10] ais591,medx_707 [9] axaxz3,medx_707 [9] medx_707,ههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههههه [7] medx_707,ais591 [6] so_so_1010,medx_707 [5] namx_707,sn_i98 [5] axaxz3,namx_707 [4] ais591,هههههههههههههههههههههههههههههههههههههههههههههههههه [4] namx_707,5x_lil Top Word Pairs in Tweet in G3:
[3] slimanz614,u2nd1 [3] man_medx,u2nd1 [2] d63dh,1adib [2] hansuke6,slimanz614 [2] ورع,انت [2] مساء,النور [2] wejd_nfc,ksaej3 [2] يلعن,ام [2] man_medx,ksaej3 Top Word Pairs in Tweet in G4:
[4] check,live [4] live,noticeboard [4] noticeboard,webinars [4] webinars,drop [4] drop,yours [4] yours,free [4] free,follow [4] follow,instructions [3] go,see [3] robearpierre,check Top Word Pairs in Tweet in G5:
[6] #healthcare,#callservice [6] #callservice,#answeringservice [6] #medicalansweringservice,#office [5] tedx,medx [5] retweet,selected [5] selected,team [5] team,medx [5] medx,health [5] health,cve [5] cve,mdx Top Word Pairs in Tweet in G6:
[11] medx_holdings,lazydazeco [11] the1onlyhans,medx_holdings [5] lazydazeco,the1onlyhans [5] medx_holdings,the1onlyhans [4] dazedcorp,texasgreenrush [4] aomgstocks,lazydazeco [4] madurocriollo,medx_holdings [3] hard,days [3] days,work [3] work,craftherbs Top Word Pairs in Tweet in G7:
[5] favorite,conference [5] conference,back [5] back,sad [5] sad,person [5] person,#medx [5] #medx,festivities [5] festivities,stoked [5] stoked,still [5] still,happening [5] happening,virtually Top Word Pairs in Tweet in G8:
[3] congrats,team [3] team,heinzcollege [3] heinzcollege,carnegiemellon [3] carnegiemellon,johnshopkinssph [3] johnshopkinssph,jhuglobalhealth [3] jhuglobalhealth,hofstrau [3] hofstrau,friendslearn [3] friendslearn,mithratrust [2] comprehensive,over [2] over,view Top Word Pairs in Tweet in G9:
[10] snocoscannerrep,medx [7] cpr,progress [6] snohomish,wsp [6] medx,cpr [4] mutual,aid [4] aid,medx [4] medx,614 [4] 614,front [4] front,st [4] st,mukilteo Top Word Pairs in Tweet in G10:
[7] organ,chip [7] thursday,26th [6] join,medx [6] medx,online [6] online,event [6] event,organ [6] chip,thursday [6] 26th,november [6] november,2020 [6] 2020,joined Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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 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: