The graph represents a network of 2,259 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 14:29 UTC.
The tweets in the network were tweeted over the 3622-day, 8-hour, 22-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Saturday, 14 January 2023 at 00:42 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 : 2259
Unique Edges : 1882
Edges With Duplicates : 8344
Total Edges : 10226
Number of Edge Types : 9
Tweet : 2356
MentionsInQuote : 135
MentionsInReplyTo : 2134
Replies to : 1658
Retweet : 1354
MentionsInRetweet : 1931
Mentions : 550
Quote : 90
MentionsInQuoteReply : 18
Self-Loops : 3113
Reciprocated Vertex Pair Ratio : 0.0869106263194933
Reciprocated Edge Ratio : 0.159922304953059
Connected Components : 547
Single-Vertex Connected Components : 289
Maximum Vertices in a Connected Component : 960
Maximum Edges in a Connected Component : 7384
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.661771
Graph Density : 0.000605588667865689
Modularity : 0.292806
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 2,259 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 1/13/2023 5:00:34 PM. The network was obtained from Twitter on Saturday, 14 January 2023 at 14:29 UTC.
The tweets in the network were tweeted over the 3622-day, 8-hour, 22-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Saturday, 14 January 2023 at 00:42 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:
[1630] fire,tac [848] medx,fire [577] tac,01 [388] tac,03 [352] biozhena,files [300] add'l,biozhena [300] biozhena,file [296] #medx,#meded [255] medx,cpr [248] tac,07 Top Word Pairs in Tweet in G1:
[177] medx_707,celebsarabic [72] sarasar84399300,medx_707 [22] من,عندهم [20] أشكالنا,إذا [20] celebsarabic,ضحكتوا [20] جينا,نسوي [20] معناه,ولا [20] نسوي,شيء [20] نفس,أشكالنا [20] عليه,صح Top Word Pairs in Tweet in G2:
[120] medx,health [65] cell,medx [47] medx,corp [37] mdx,stock [37] stock,price [36] team,medx [36] retweet,selected [36] price,down [36] cve,mdx [36] selected,team Top Word Pairs in Tweet in G3:
[26] #patientchat,#medx [19] #medx,platform [19] omnicell's,brand [19] brand,#medx [19] traceability,omnicell's [19] platform,hospital [19] revolutionize,medication [19] ready,revolutionize [19] hospital,wide [19] medication,traceability Top Word Pairs in Tweet in G4:
[1630] fire,tac [848] medx,fire [577] tac,01 [388] tac,03 [255] medx,cpr [248] tac,07 [223] tac,02 [190] ave,everett [179] tac,05 [162] medx,overdose Top Word Pairs in Tweet in G5:
[49] 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:
[352] biozhena,files [300] biozhena,file [300] add'l,biozhena [296] #medx,#meded [247] files,downloads [237] #obgyntwitter,#tryingtoconceive [222] #precisionmedicine,#womenshealth [219] #ehealth,#impinv [219] #womenshealth,#fertilityawareness [211] #obgyntwitter,#emergingtech Top Word Pairs in Tweet in G7:
[41] #mdx,#spacepi [41] excellent,decentralized [41] medx,excellent [41] decentralized,platform [41] platform,#mdx [41] #bsc,#bnb [41] mdextech,mdexswap [41] #pinetwork,mdextech [41] #spacepiarmy,#bsc [41] #spacepi,#spacepiarmy Top Word Pairs in Tweet in G8:
[24] official,update [24] medx,holdings [20] dazed,inc [17] verdosaholdings,dazedcorp [15] medx_holdings,official [14] medx_holdings,verdosaholdings [12] name,change [10] dazedcorp,lazydazeco [9] change,dazed [9] holdings,announces Top Word Pairs in Tweet in G9:
[55] merkezi,ile [55] tıp,merkezi [55] israil'deki,sheba [55] sheba,tıp [55] bill,gates'in [55] gates'in,israil'deki [49] yoluyla,bağlantısı [49] yatırımlar,yoluyla [49] ile,ortak [49] ortak,yatırımlar Top Word Pairs in Tweet in G10:
[22] 姫乃のえ,youtubeより [22] 始まるよ,#初見さん歓迎 [22] #歌枠,アコギで弾き語り [22] #初見さん歓迎,#歌枠 [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] アコギで弾き語り,目指せ同接70人 [22] 同接強化ウィーク2日目,#新人vtuber [21] himeno_noe,始まるよ [4] medx,health 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 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: