The graph represents a network of 2,419 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 14:29 UTC.
The tweets in the network were tweeted over the 3671-day, 6-hour, 14-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Friday, 03 March 2023 at 22:34 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 : 2419
Unique Edges : 1961
Edges With Duplicates : 8215
Total Edges : 10176
Number of Edge Types : 9
Tweet : 2636
MentionsInReplyTo : 2111
Replies to : 1333
MentionsInQuote : 138
Retweet : 1374
MentionsInRetweet : 1933
Mentions : 539
Quote : 96
MentionsInQuoteReply : 16
Self-Loops : 3058
Reciprocated Vertex Pair Ratio : 0.0854904632152589
Reciprocated Edge Ratio : 0.157514904298714
Connected Components : 601
Single-Vertex Connected Components : 316
Maximum Vertices in a Connected Component : 954
Maximum Edges in a Connected Component : 6980
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.643908
Graph Density : 0.000544866238501305
Modularity : 0.306942
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,419 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 3/3/2023 5:00:35 PM. The network was obtained from Twitter on Saturday, 04 March 2023 at 14:29 UTC.
The tweets in the network were tweeted over the 3671-day, 6-hour, 14-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Friday, 03 March 2023 at 22:34 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:
[1916] fire,tac [981] medx,fire [690] tac,01 [471] tac,03 [321] tac,02 [321] medx,cpr [246] tac,07 [226] ave,everett [200] medx,health [197] medx,overdose Top Word Pairs in Tweet in G1:
[123] medx,health [65] cell,medx [47] medx,corp [41] mdx,stock [41] stock,price [40] team,medx [40] retweet,selected [40] price,down [40] cve,mdx [40] selected,team Top Word Pairs in Tweet in G2:
[148] medx_707,celebsarabic [48] sarasar84399300,medx_707 [20] من,عندهم [18] جينا,نسوي [18] نفس,أشكالنا [18] شيء,أصله [18] أشكالنا,إذا [18] عليه,صح [18] celebsarabic,ضحكتوا [18] إذا,جينا Top Word Pairs in Tweet in G3:
[30] #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:
[1916] fire,tac [981] medx,fire [690] tac,01 [471] tac,03 [321] medx,cpr [321] tac,02 [246] tac,07 [226] ave,everett [197] medx,overdose [189] overdose,fire 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:
[120] biozhena,file [120] add'l,biozhena [113] biozhena,files [87] #medx,#meded [85] file,downloads [77] #obgyntwitter,#tryingtoconceive [72] files,downloads [62] #fertilityawareness,#womenhealth [60] medx,health [59] #ovulation,#obgyntwitter Top Word Pairs in Tweet in G7:
[39] platform,#mdx [39] #bnb,#pinetwork [39] decentralized,platform [39] #spacepi,#spacepiarmy [39] #mdx,#spacepi [39] #spacepiarmy,#bsc [39] excellent,decentralized [39] mdextech,mdexswap [39] #bsc,#bnb [39] #pinetwork,mdextech Top Word Pairs in Tweet in G8:
[24] medx,holdings [24] official,update [20] dazed,inc [17] verdosaholdings,dazedcorp [15] medx_holdings,official [14] medx_holdings,verdosaholdings [12] name,change [10] dazedcorp,lazydazeco [9] update,quarterly [9] change,dazed Top Word Pairs in Tweet in G9:
[22] #新人vtuber,姫乃のえ [22] 目指せ同接70人,同接強化ウィーク2日目 [22] 姫乃のえ,youtubeより [22] #初見さん歓迎,#歌枠 [22] 始まるよ,#初見さん歓迎 [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 [21] himeno_noe,始まるよ [5] medx,health Top Word Pairs in Tweet in G10:
[62] sheba,tıp [62] merkezi,ile [62] tıp,merkezi [62] gates'in,israil'deki [62] bill,gates'in [62] israil'deki,sheba [55] ortak,yatırımlar [55] yoluyla,bağlantısı [55] yatırımlar,yoluyla [55] ile,ortak 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: