The graph represents a network of 5,624 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, 24 January 2022 at 06:48 UTC.
The requested start date was Monday, 24 January 2022 at 01:01 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 3-day, 3-hour, 12-minute period from Wednesday, 19 January 2022 at 07:53 UTC to Saturday, 22 January 2022 at 11:05 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 : 5624
Unique Edges : 4257
Edges With Duplicates : 13747
Total Edges : 18004
Number of Edge Types : 5
Retweet : 5432
MentionsInRetweet : 7582
Tweet : 1654
Mentions : 3014
Replies to : 322
Self-Loops : 1707
Reciprocated Vertex Pair Ratio : 0.0368492642512675
Reciprocated Edge Ratio : 0.0710793082886106
Connected Components : 312
Single-Vertex Connected Components : 86
Maximum Vertices in a Connected Component : 4242
Maximum Edges in a Connected Component : 14837
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 4.965696
Graph Density : 0.0002651488033425
Modularity : 0.421392
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 5,624 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, 24 January 2022 at 06:48 UTC.
The requested start date was Monday, 24 January 2022 at 01:01 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 3-day, 3-hour, 12-minute period from Wednesday, 19 January 2022 at 07:53 UTC to Saturday, 22 January 2022 at 11:05 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:
[892] #medtwitter,#meded [677] more,medical [673] medical,news [574] #meded,#mednews [563] more,date [545] date,medical [506] medical,headlines [459] headlines,visit [321] #meded,#medtwitter [280] covid,19 Top Word Pairs in Tweet in G1:
[79] #meded,#medtwitter [55] #medtwitter,#meded [47] more,date [46] more,medical [46] medical,news [45] date,medical [40] medical,headlines [35] #foamed,#meded [32] headlines,visit [32] #medtwitter,#medstudenttwitter Top Word Pairs in Tweet in G2:
[54] dear,#meded [54] #meded,become [54] become,aware [54] aware,influential [54] influential,paper [54] paper,very [54] very,jealous [54] jealous,journal [53] meded_journal,dear [42] #meded,#hpe Top Word Pairs in Tweet in G3:
[614] #medtwitter,#meded [606] more,medical [602] medical,news [573] #meded,#mednews [516] more,date [500] date,medical [466] medical,headlines [427] headlines,visit [271] visit,#medicalnews [266] #medicalnews,#medtwitter Top Word Pairs in Tweet in G4:
[140] #meded,#gitwitter [72] siewert,classification [72] classification,cancers [72] cancers,gastroeosophageal [72] gastroeosophageal,junction [72] junction,#meded [71] drkeithsiau,siewert [65] stop,thinking [65] thinking,interleukin [65] interleukin,mnemonic Top Word Pairs in Tweet in G5:
[169] illa,huuu [152] huuu,bu [152] bu,dava [152] dava,hak [152] hak,batil [152] batil,davasidir [152] davasidir,siyaset [152] siyaset,ekonomi [152] ekonomi,davasi [152] davasi,yapanlar Top Word Pairs in Tweet in G6:
[198] hepatic,masses [198] masses,mri [198] mri,added [198] added,more [198] more,details [198] details,compared [198] compared,first [198] first,illustration [198] illustration,tried [198] tried,keep Top Word Pairs in Tweet in G7:
[81] #meded,#impocus [75] ocular,#pocus [59] topic,ocular [59] #pocus,another [59] another,great [59] great,pocket [59] pocket,card [59] card,friend [59] friend,pocus101 [59] pocus101,#meded Top Word Pairs in Tweet in G8:
[12] #meded,#medtwitter [11] join,#hofellows [11] #hofellows,space [11] space,bmt [11] bmt,car [11] car,advanced [11] advanced,fellowships [11] fellowships,rahulbanerjeemd [11] rahulbanerjeemd,amarkelkar [11] amarkelkar,february Top Word Pairs in Tweet in G9:
[79] #medtwitter,#globalhealth [62] #healthcare,#meded [51] health,avenues [48] #globalhealth,#telehealth [45] #covid19,#medtwitter [45] #telehealth,#healthcare [43] #meded,#caregivers [40] covid,19 [40] #caregivers,#familycenteredcare [36] #familycenteredcare,#mentalhealth Top Word Pairs in Tweet in G10:
[20] more,medical [20] medical,news [15] #medtwitter,#meded [15] didn,show [14] cautionary,tale [14] tale,jaccjournals [14] jaccjournals,hrs [14] hrs,uneventful [14] uneventful,laao [14] laao,major Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: