The graph represents a network of 178 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, 27 August 2022 at 13:24 UTC.
The requested start date was Saturday, 27 August 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 13-day, 6-hour, 13-minute period from Saturday, 13 August 2022 at 00:57 UTC to Friday, 26 August 2022 at 07:10 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 : 178
Unique Edges : 118
Edges With Duplicates : 460
Total Edges : 578
Number of Edge Types : 5
Tweet : 197
Replies to : 44
Retweet : 119
MentionsInRetweet : 134
Mentions : 84
Self-Loops : 200
Reciprocated Vertex Pair Ratio : 0.0131578947368421
Reciprocated Edge Ratio : 0.025974025974026
Connected Components : 37
Single-Vertex Connected Components : 17
Maximum Vertices in a Connected Component : 75
Maximum Edges in a Connected Component : 270
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.019442
Graph Density : 0.00488795784929855
Modularity : 0.295167
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 178 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, 27 August 2022 at 13:24 UTC.
The requested start date was Saturday, 27 August 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 13-day, 6-hour, 13-minute period from Saturday, 13 August 2022 at 00:57 UTC to Friday, 26 August 2022 at 07:10 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:
[71] fire,tac [27] chance,win [27] φ,φ [26] tac,02 [24] medx,cpr [23] tac,01 [22] tac,03 [20] medx,fire [20] cpr,fire [15] medx,overdose Top Word Pairs in Tweet in G1:
[27] φ,φ [19] chance,win [8] giving,away [7] originalfunko,follow [7] follow,originalfunko [7] originalfunko,chance [7] enter,follow [7] follow,geekvibesnation [6] funko,pop [6] enter,chance Top Word Pairs in Tweet in G2:
[5] #healthcare,#callservice [5] #callservice,#answeringservice [5] #answeringservice,#medical [5] #medical,#emr [5] #emr,#oralsurgeon [5] #oralsurgeon,#athena [5] #athena,#medicalansweringservice [5] #medicalansweringservice,#office [2] medx,pharmacy Top Word Pairs in Tweet in G3:
[12] watch,see [11] see,buhari [11] buhari,government [11] government,nigeria [11] nigeria,years [11] years,part [9] part,peter [9] peter,obi [9] obi,won [9] won,next Top Word Pairs in Tweet in G4:
[2] نفس,الشي Top Word Pairs in Tweet in G5:
[43] fire,tac [16] tac,02 [14] tac,01 [13] tac,03 [13] medx,cpr [12] medx,fire [11] cpr,fire [9] medx,overdose [9] medx,assault [9] assault,weapon Top Word Pairs in Tweet in G6:
[6] #scs,self [6] self,cleaning [6] cleaning,shunt [3] microbot,medical [2] still,time [2] time,register [2] register,#mbot [2] #mbot,presenting [2] presenting,#scs [2] shunt,aacns2 Top Word Pairs in Tweet in G7:
[7] follow,originalfunko [7] originalfunko,chance [7] chance,win [7] pop,#funko [7] #funko,#funkopop [7] #funkopop,#giveaway [2] exclusive,star [2] star,wars [2] #giveaway,#starwars [2] win,walmart Top Word Pairs in Tweet in G8:
[2] oh,wow [2] wow,thank [2] thank,dr [2] dr,butts [2] butts,honored [2] honored,part [2] part,definitely [2] definitely,excited [2] excited,future [2] future,medicine Top Word Pairs in Tweet in G9:
[4] huge,og [4] og,crypto [4] crypto,space [4] space,jamestodaromd [4] jamestodaromd,actively [4] actively,involved [4] involved,blockchain [4] blockchain,technology [4] technology,2013 [4] 2013,serves 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 G6:
Top Replied-To in G8:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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: