The graph represents a network of 183 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, 04 June 2022 at 13:24 UTC.
The requested start date was Saturday, 04 June 2022 at 00:01 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 12-day, 20-hour, 37-minute period from Saturday, 21 May 2022 at 02:21 UTC to Thursday, 02 June 2022 at 22:59 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 : 183
Unique Edges : 144
Edges With Duplicates : 280
Total Edges : 424
Number of Edge Types : 5
Retweet : 76
MentionsInRetweet : 87
Tweet : 129
Mentions : 71
Replies to : 61
Self-Loops : 129
Reciprocated Vertex Pair Ratio : 0.0416666666666667
Reciprocated Edge Ratio : 0.08
Connected Components : 42
Single-Vertex Connected Components : 18
Maximum Vertices in a Connected Component : 46
Maximum Edges in a Connected Component : 134
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.894612
Graph Density : 0.00525430853299706
Modularity : 0.422566
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 183 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, 04 June 2022 at 13:24 UTC.
The requested start date was Saturday, 04 June 2022 at 00:01 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 12-day, 20-hour, 37-minute period from Saturday, 21 May 2022 at 02:21 UTC to Thursday, 02 June 2022 at 22:59 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:
[49] fire,tac [22] medx,fire [21] tac,07 [17] chance,win [15] star,wars [14] tac,01 [11] follow,originalfunko [11] originalfunko,chance [11] token,swap [11] 15,35 Top Word Pairs in Tweet in G1:
[4] mg2030o,_nada220 [4] _nada220,gorgeous4ew [4] medx_707,mg2030o [3] من,قلبي [3] 2iupxphtfslgi81,saudinews50 [2] aborayan900,doomevil7 [2] doomevil7,saudinews50 [2] شكر,ا [2] لك,كذا [2] بس,الحمدلله Top Word Pairs in Tweet in G2:
[17] chance,win [15] star,wars [11] follow,originalfunko [11] originalfunko,chance [7] wars,celebration [6] win,free [6] amazon,exclusive [6] someone,random [6] random,retweets [6] #funkopop,#giveaway Top Word Pairs in Tweet in G3:
[8] medx,health [5] health,corp [5] quarter,2022 [5] 2022,results [5] #healthcare,#callservice [5] #callservice,#answeringservice [5] #answeringservice,#medical [5] #medical,#emr [5] #emr,#oralsurgeon [4] #oralsurgeon,#athena Top Word Pairs in Tweet in G4:
[49] fire,tac [22] medx,fire [21] tac,07 [14] tac,01 [11] 15,35 [11] m14a,l14 [9] tac,05 [8] way,everett [8] medx,overdose [8] overdose,fire Top Word Pairs in Tweet in G5:
[2] peter,obi [2] obi,resignation [2] resignation,pdp [2] pdp,strategic [2] strategic,reckless [2] 23,years [2] click,link Top Word Pairs in Tweet in G7:
[2] looking,forward [2] forward,upcoming [2] upcoming,sir [2] sir,conference [2] conference,boston [2] boston,ma [2] ma,first [2] first,time [2] time,doing [2] doing,live Top Word Pairs in Tweet in G8:
[11] token,swap [6] medibloc,token [5] 3rd,medibloc [5] swap,coming [5] coming,check [5] check,re [5] re,target [5] target,token [5] swap,med [5] med,qrc20 Top Word Pairs in Tweet in G9:
[2] swipewright,gilpadillam [2] gilpadillam,dukeu [2] dukeu,anti [2] anti,capitalist [2] capitalist,grad [2] grad,student [2] student,studies [2] studies,private [2] private,school [2] school,works Top Word Pairs in Tweet in G10:
[2] خطوات,لازم [2] لازم,تتوفر [2] تتوفر,عدنك [2] عدنك,كصانع [2] كصانع,محتوى [2] محتوى,الاكتشاف [2] الاكتشاف,التطبيق [2] التطبيق,التخصص [2] التخصص,التدقيق [2] التدقيق,التدرب Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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: