The graph represents a network of 2,316 Twitter users whose recent tweets contained "medx", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 14:44 UTC.
The tweets in the network were tweeted over the 3642-day, 21-hour, 26-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Friday, 03 February 2023 at 13:46 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 : 2316
Unique Edges : 1901
Edges With Duplicates : 8291
Total Edges : 10192
Number of Edge Types : 9
Tweet : 2493
MentionsInReplyTo : 2150
Replies to : 1494
MentionsInQuote : 139
Retweet : 1355
MentionsInRetweet : 1922
Mentions : 533
Quote : 90
MentionsInQuoteReply : 16
Self-Loops : 3099
Reciprocated Vertex Pair Ratio : 0.0847280334728033
Reciprocated Edge Ratio : 0.156219864995178
Connected Components : 575
Single-Vertex Connected Components : 309
Maximum Vertices in a Connected Component : 964
Maximum Edges in a Connected Component : 7254
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.683678
Graph Density : 0.000580243735941539
Modularity : 0.298438
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,316 Twitter users whose recent tweets contained "medx", 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 2/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 February 2023 at 14:44 UTC.
The tweets in the network were tweeted over the 3642-day, 21-hour, 26-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Friday, 03 February 2023 at 13:46 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 : 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:
[1755] fire,tac [908] medx,fire [623] tac,01 [425] tac,03 [286] medx,cpr [272] tac,02 [253] biozhena,files [246] tac,07 [228] #medx,#meded [226] medx,health Top Word Pairs in Tweet in G1:
[122] medx,health [63] cell,medx [46] medx,corp [39] mdx,stock [39] stock,price [38] cve,mdx [38] price,down [38] selected,team [38] team,medx [38] retweet,selected Top Word Pairs in Tweet in G2:
[170] medx_707,celebsarabic [72] sarasar84399300,medx_707 [21] من,عندهم [19] أشكالنا,إذا [19] celebsarabic,ضحكتوا [19] جينا,نسوي [19] معناه,ولا [19] نسوي,شيء [19] نفس,أشكالنا [19] عليه,صح Top Word Pairs in Tweet in G3:
[26] #patientchat,#medx [19] hospital,wide [19] #medx,platform [19] platform,hospital [19] revolutionize,medication [19] traceability,omnicell's [19] medication,traceability [19] omnicell's,brand [19] brand,#medx [19] ready,revolutionize Top Word Pairs in Tweet in G4:
[1755] fire,tac [908] medx,fire [623] tac,01 [425] tac,03 [286] medx,cpr [272] tac,02 [246] tac,07 [205] ave,everett [177] medx,overdose [176] tac,05 Top Word Pairs in Tweet in G5:
[48] medx,investigator [24] dukemedx,medx [17] investigator,samira [17] profsamiramusah,speaking [17] musah,phd [17] phd,profsamiramusah [17] samira,musah [15] medx,investigators [14] investigator,drjessilyn [12] affiliated,faculty Top Word Pairs in Tweet in G6:
[253] biozhena,files [228] #medx,#meded [213] biozhena,file [213] add'l,biozhena [181] files,downloads [170] #obgyntwitter,#tryingtoconceive [152] #fertilityawareness,#womenhealth [149] #ehealth,#impinv [146] file,downloads [140] #tryingtoconceive,#medx Top Word Pairs in Tweet in G7:
[40] platform,#mdx [40] #bnb,#pinetwork [40] decentralized,platform [40] #spacepi,#spacepiarmy [40] #mdx,#spacepi [40] #spacepiarmy,#bsc [40] excellent,decentralized [40] mdextech,mdexswap [40] #bsc,#bnb [40] #pinetwork,mdextech Top Word Pairs in Tweet in G8:
[24] medx,holdings [23] official,update [20] dazed,inc [16] verdosaholdings,dazedcorp [14] medx_holdings,official [14] medx_holdings,verdosaholdings [12] name,change [10] dazedcorp,lazydazeco [9] change,dazed [9] update,medx Top Word Pairs in Tweet in G9:
[55] sheba,tıp [55] merkezi,ile [55] bill,gates'in [55] gates'in,israil'deki [55] israil'deki,sheba [55] tıp,merkezi [49] yoluyla,bağlantısı [49] ile,ortak [49] ortak,yatırımlar [49] yatırımlar,yoluyla Top Word Pairs in Tweet in G10:
[22] 始まるよ,#初見さん歓迎 [22] 目指せ同接70人,同接強化ウィーク2日目 [22] #初見さん歓迎,#歌枠 [22] 同接強化ウィーク2日目,#新人vtuber [22] アコギで弾き語り,目指せ同接70人 [22] #歌枠,アコギで弾き語り [22] #新人vtuber,姫乃のえ [22] 姫乃のえ,youtubeより [21] himeno_noe,始まるよ [4] medx,health 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 G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
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: