The graph represents a network of 5,535 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 September 2021 at 05:34 UTC.
The requested start date was Monday, 13 September 2021 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 5-day, 23-hour, 38-minute period from Monday, 06 September 2021 at 11:31 UTC to Sunday, 12 September 2021 at 11:09 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 : 5535
Unique Edges : 4435
Edges With Duplicates : 13286
Total Edges : 17721
Number of Edge Types : 5
Replies to : 876
Mentions : 3200
Retweet : 5015
MentionsInRetweet : 7181
Tweet : 1449
Self-Loops : 1544
Reciprocated Vertex Pair Ratio : 0.043338683788122
Reciprocated Edge Ratio : 0.0830769230769231
Connected Components : 308
Single-Vertex Connected Components : 101
Maximum Vertices in a Connected Component : 4494
Maximum Edges in a Connected Component : 14750
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.600753
Graph Density : 0.00027586711236345
Modularity : 0.415234
NodeXL Version : 1.0.1.446
Data Import : The graph represents a network of 5,535 Twitter users whose tweets in the requested range contained "meded", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 13 September 2021 at 05:34 UTC.
The requested start date was Monday, 13 September 2021 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 5-day, 23-hour, 38-minute period from Monday, 06 September 2021 at 11:31 UTC to Sunday, 12 September 2021 at 11:09 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 : meded
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:
[588] verä,lmä [588] lmä,åžtä [511] #medtwitter,#meded [399] more,medical [395] medical,news [387] #meded,#medtwitter [308] lla,huuu [305] huuu,maaåžaaallah [305] maaåžaaallah,muradi [305] muradi,ãœmmetä Top Word Pairs in Tweet in G1:
[303] more,medical [301] medical,news [271] #medtwitter,#meded [63] #meded,#foamed [58] news,#epidemiology [55] news,#oncology [54] #oncology,#medtwitter [52] #epidemiology,#medtwitter [51] #paramedic,#ambulance [51] #ambulance,#nhs Top Word Pairs in Tweet in G2:
[68] more,medical [66] medical,news [44] #meded,#medtwitter [33] #medtwitter,#meded [23] #hmicommunity,blog [21] week,#hmicommunity [21] blog,mbstephensmd [21] mbstephensmd,behind [21] behind,mask [21] mask,lessons Top Word Pairs in Tweet in G3:
[587] verä,lmä [587] lmä,åžtä [307] lla,huuu [304] huuu,maaåžaaallah [304] maaåžaaallah,muradi [304] muradi,ãœmmetä [304] ãœmmetä,kurtuåžu [304] kurtuåžu,recep [304] recep,gã [304] gã,rev Top Word Pairs in Tweet in G4:
[51] here's,take [50] chest,pain [49] 18,chest [49] pain,frequently [49] frequently,seen [49] seen,reason [49] reason,admission [49] admission,here's [49] take,consider [49] consider,acs Top Word Pairs in Tweet in G5:
[102] gt,organ [51] cvp,gt [51] organ,afterload [51] afterload,perfusion [51] perfusion,pressure [51] pressure,gt [51] organ,injury [51] injury,#pocus [51] #pocus,#vexus [51] #vexus,#meded Top Word Pairs in Tweet in G6:
[91] vascular,supply [72] distinct,arterial [66] cerebellum,surfaces [66] surfaces,distinct [66] arterial,vascular [66] occipital,surface [66] surface,pica [65] petefiestermd,cerebellum [65] supply,µï [65] µï,âž Top Word Pairs in Tweet in G7:
[81] #gitwitter,#meded [79] hot,press [79] press,updated [79] updated,bsg [79] bsg,guidelines [79] guidelines,iron [79] iron,deficiency [79] deficiency,anaemia [79] anaemia,#gitwitter [79] #meded,gut_bmj Top Word Pairs in Tweet in G8:
[16] make,rash [16] rash,decisions [14] docscribbles,donâ [14] donâ,make [14] decisions,youâ [14] youâ,re [11] re,describing [11] describing,skin [11] skin,lesions [11] lesions,#meded Top Word Pairs in Tweet in G9:
[29] #machinelearning,#globalhealth [27] #globalhealth,#meded [22] #redaichat,#isaml [22] #isaml,#healthcareai [22] #healthcareai,#smarthit [22] #smarthit,#imagingai [22] #imagingai,#artificialintelligence [22] #artificialintelligence,#machinelearning [22] study,shows [22] shows,encouraging Top Word Pairs in Tweet in G10:
[69] read,more [49] #meded,#foamed [37] #foamed,#medtwitter [35] coagulation,kinin [35] kinin,pathways [35] pathways,drugs [35] drugs,affect [35] affect,coagulation [35] coagulation,read [35] more,anticoagulants Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: