The graph represents a network of 5,110 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, 05 September 2022 at 05:35 UTC.
The requested start date was Monday, 05 September 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 3-day, 8-hour, 14-minute period from Thursday, 01 September 2022 at 02:55 UTC to Sunday, 04 September 2022 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 : 5110
Unique Edges : 3853
Edges With Duplicates : 15162
Total Edges : 19015
Number of Edge Types : 5
Retweet : 6793
MentionsInRetweet : 10000
Mentions : 1431
Replies to : 109
Tweet : 682
Self-Loops : 713
Reciprocated Vertex Pair Ratio : 0.0100369173973235
Reciprocated Edge Ratio : 0.0198743575099943
Connected Components : 250
Single-Vertex Connected Components : 50
Maximum Vertices in a Connected Component : 4241
Maximum Edges in a Connected Component : 17594
Maximum Geodesic Distance (Diameter) : 13
Average Geodesic Distance : 3.735616
Graph Density : 0.000335350800685947
Modularity : 0.363898
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 5,110 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, 05 September 2022 at 05:35 UTC.
The requested start date was Monday, 05 September 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 3-day, 8-hour, 14-minute period from Thursday, 01 September 2022 at 02:55 UTC to Sunday, 04 September 2022 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:
[3867] #meded,#medtwitter [2060] #bjhm,#meded [699] #medtwitter,#foamed [553] #meded,#foamed [398] #medtwitter,#medstudenttwitter [387] medics_abusaif,#bjhm [344] #tipsfornewdocs,#meded [334] #medtwitter,#medicine [322] #medicine,#medical [304] #medtwitter,#meded Top Word Pairs in Tweet in G1:
[2328] #meded,#medtwitter [1800] #bjhm,#meded [444] #meded,#foamed [432] #medtwitter,#foamed [359] medics_abusaif,#bjhm [356] #medtwitter,#medstudenttwitter [300] #tipsfornewdocs,#meded [290] #medtwitter,#medicine [280] #medicine,#medical [272] #medtwitter,#endotwitter Top Word Pairs in Tweet in G2:
[925] #meded,#medtwitter [218] breast,cancer [185] dna,damage [185] damage,response [185] response,breast [185] cancer,dr [185] dr,sayf [185] sayf,#oncology [185] #oncology,#cancers [185] #cancers,#meded Top Word Pairs in Tweet in G3:
[101] #meded,#medtwitter [55] learn,more [45] #medtwitter,#meded [25] dr,notes [25] notes,#meded [25] #meded,#like [25] #like,#book [24] #book,#pdf [23] #meded,#foamed [21] #bjhm,#meded Top Word Pairs in Tweet in G4:
[267] utterly,shocked [267] shocked,see [267] see,teaching [267] teaching,slides [267] slides,appalling [267] appalling,misogynistic [267] misogynistic,rhetoric [267] rhetoric,head [267] head,undergraduate [266] scrubsurvivors,utterly Top Word Pairs in Tweet in G5:
[243] #meded,#medtwitter [162] #medtwitter,#foamed [142] different,types [141] types,shock [141] shock,nejm [141] nejm,#shock [141] #shock,#criticalcare [141] #criticalcare,#meded [141] #foamed,#icu [140] vijayselvarajmd,different Top Word Pairs in Tweet in G6:
[20] #meded,#hpe [14] cv,lor's [11] sdrme,proud [11] proud,announce [11] announce,call [11] call,review [11] review,paper [11] paper,proposals [11] proposals,#meded [11] #hpe,great Top Word Pairs in Tweet in G7:
[74] #pocus,#meded [74] #meded,#criticalcare [72] shock,#pocus [72] #criticalcare,#nephrology [71] nephrop,shock [30] #meded,#medtwitter [26] nephrop,#pocus [23] #pocus,reminder [23] reminder,learners [23] learners,lv Top Word Pairs in Tweet in G8:
[44] #meded,#medtwitter [13] #idtwitter,#medtwitter [11] required,reading [11] reading,neurologists [11] neurologists,things [11] things,reason [11] reason,hypercoag [11] management,patients [10] #bjhm,#meded [10] a_charidimou,required Top Word Pairs in Tweet in G9:
[59] #meded,#medtwitter [53] #medtwitter,#meded [30] #medtwitter,#foamed [29] great,summary [29] summary,valvular [29] valvular,heart [29] heart,diseases [29] diseases,#medtwitter [28] khaledalotibe1,great [26] #meded,#foamed Top Word Pairs in Tweet in G10:
[19] #phd,club [12] rule,#phd [8] applicants,different [8] different,socioeconomic [8] socioeconomic,backgrounds [8] backgrounds,medical [8] medical,school [8] school,findings [8] findings,ukmacs1 [8] ukmacs1,kathwoolf Top Replied-To in Entire Graph:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G6:
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:
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Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G5:
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Top Tweeters in G9:
Top Tweeters in G10: