The graph represents a network of 2,448 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 13:30 UTC.
The tweets in the network were tweeted over the 3685-day, 7-hour, 4-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Friday, 17 March 2023 at 23:23 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 : 2448
Unique Edges : 2001
Edges With Duplicates : 8299
Total Edges : 10300
Number of Edge Types : 9
Tweet : 2685
MentionsInReplyTo : 2299
Replies to : 1300
MentionsInQuote : 137
Retweet : 1339
MentionsInRetweet : 1894
Mentions : 529
Quote : 101
MentionsInQuoteReply : 16
Self-Loops : 2991
Reciprocated Vertex Pair Ratio : 0.0880587058038692
Reciprocated Edge Ratio : 0.161863887185776
Connected Components : 614
Single-Vertex Connected Components : 323
Maximum Vertices in a Connected Component : 939
Maximum Edges in a Connected Component : 6991
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.495158
Graph Density : 0.000544551017519118
Modularity : 0.30896
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 2,448 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 3/17/2023 5:00:36 PM. The network was obtained from Twitter on Saturday, 18 March 2023 at 13:30 UTC.
The tweets in the network were tweeted over the 3685-day, 7-hour, 4-minute period from Tuesday, 12 February 2013 at 16:19 UTC to Friday, 17 March 2023 at 23:23 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:
[1960] fire,tac [1005] medx,fire [729] tac,01 [479] tac,03 [333] medx,cpr [332] tac,02 [239] tac,07 [235] ave,everett [207] medx,overdose [202] overdose,fire Top Word Pairs in Tweet in G1:
[171] medx_707,celebsarabic [72] sarasar84399300,medx_707 [20] من,عندهم [18] أشكالنا,إذا [18] celebsarabic,ضحكتوا [18] جينا,نسوي [18] معناه,ولا [18] نسوي,شيء [18] نفس,أشكالنا [18] عليه,صح Top Word Pairs in Tweet in G2:
[118] medx,health [65] cell,medx [47] medx,corp [40] mdx,stock [40] stock,price [39] cve,mdx [39] price,down [39] selected,team [39] team,medx [39] retweet,selected Top Word Pairs in Tweet in G3:
[31] #patientchat,#medx [19] medication,traceability [19] brand,#medx [19] platform,hospital [19] revolutionize,medication [19] #medx,platform [19] hospital,wide [19] ready,revolutionize [19] omnicell's,brand [19] traceability,omnicell's Top Word Pairs in Tweet in G4:
[1960] fire,tac [1005] medx,fire [729] tac,01 [479] tac,03 [333] medx,cpr [332] tac,02 [239] tac,07 [235] ave,everett [207] medx,overdose [202] overdose,fire Top Word Pairs in Tweet in G5:
[35] medx,investigator [17] phd,profsamiramusah [17] musah,phd [17] samira,musah [17] profsamiramusah,speaking [17] dukemedx,medx [17] investigator,samira [15] medx,investigators [11] affiliated,faculty [10] medicine,forum Top Word Pairs in Tweet in G6:
[61] biozhena,file [61] add'l,biozhena [53] medx,health [45] biozhena,files [43] file,downloads [39] #ovulation,#tryingtoconceive [39] #ovulation,#obgyntwitter [37] health,mdx [34] screening,platform [32] #obgyntwitter,#tryingtoconceive 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] announces,name [9] update,quarterly Top Word Pairs in Tweet in G9:
[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] schulsystem,youtube Top Word Pairs in Tweet in G10:
[11] soai42,hssonc [11] atheerasmaa_,lulu8art8 [11] medx_707,soai42 [11] elbaramohamed1,amirat_85 [11] ahmadalbarrak81,atheerasmaa_ [11] alaseri100,elbaramohamed1 [11] amirat_85,medx_707 [11] hssonc,ahmadalbarrak81 [10] lulu8art8,ahmadalsahari [10] nawatcoffee,alaseri100 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 Replied-To in G10:
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: