The graph represents a network of 1,478 Twitter users whose tweets in the requested range contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 September 2020 at 23:07 UTC.
The requested start date was Monday, 28 September 2020 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, 12-hour, 52-minute period from Monday, 14 September 2020 at 03:29 UTC to Sunday, 27 September 2020 at 16:22 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 : 1478
Unique Edges : 154
Edges With Duplicates : 3984
Total Edges : 4138
Number of Edge Types : 5
Retweet : 1986
MentionsInRetweet : 1988
Mentions : 48
Tweet : 104
Replies to : 12
Self-Loops : 177
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 42
Single-Vertex Connected Components : 21
Maximum Vertices in a Connected Component : 1371
Maximum Edges in a Connected Component : 3989
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 2.384488
Graph Density : 0.000692622924536167
Modularity : 0.269609
NodeXL Version : 1.0.1.440
Data Import : The graph represents a network of 1,478 Twitter users whose tweets in the requested range contained "#DoctorsSpeakUp", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Monday, 28 September 2020 at 23:07 UTC.
The requested start date was Monday, 28 September 2020 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, 12-hour, 52-minute period from Monday, 14 September 2020 at 03:29 UTC to Sunday, 27 September 2020 at 16:22 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 : #DoctorsSpeakUp
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:
[508] lotusoak2,dr [260] think,vaccines [260] vaccines,safe [260] safe,effective [260] effective,fallen [260] fallen,marketing [260] marketing,trick [260] trick,know [260] know,half [257] lotusoak2,think Top Word Pairs in Tweet in G1:
[471] lotusoak2,dr [245] think,vaccines [245] vaccines,safe [245] safe,effective [245] effective,fallen [245] fallen,marketing [245] marketing,trick [245] trick,know [245] know,half [242] lotusoak2,think Top Word Pairs in Tweet in G2:
[93] #nhs,#doctorsspeakup [90] vaccine,hoax [90] hoax,over [90] over,#nhs [89] sheenaparish,vaccine [8] #nhs,blackmail [8] blackmail,coercion [8] coercion,#doctorsspeakup [8] #doctorsspeakup,#wakeup [7] flu,shot Top Word Pairs in Tweet in G3:
[52] dr,rachael [52] rachael,ross [52] md,phd [51] lotusoak2,watch [48] watch,speech [48] speech,dr [48] ross,md [48] phd,ex [48] ex,co [48] co,host Top Word Pairs in Tweet in G4:
[2] #doctorslivesmatter,#doctorsspeakup [2] epic,#vaccine [2] #vaccine,rant [2] rant,twitter [2] twitter,promise [2] promise,ll [2] ll,read [2] read,#epigeneticwhisperer [2] #epigeneticwhisperer,super [2] super,duper Top Word Pairs in Tweet in G5:
[13] #doctorsspeakup,bc [13] bc,paid [13] paid,corrupt [13] corrupt,industry [13] industry,trust [13] trust,products [13] products,promoting [13] promoting,safe [12] drtessat,#doctorsspeakup [3] uprising,citizens Top Word Pairs in Tweet in G6:
[16] short,list [16] list,things [16] things,dont [16] dont,fix [16] fix,burnout [16] burnout,caused [16] caused,broken [16] broken,oppressive [16] oppressive,medical [16] medical,system Top Word Pairs in Tweet in G7:
[3] lotusoak2,infant [3] infant,dies [3] dies,#vaccines [3] #vaccines,family [3] family,gets [3] gets,back [3] back,hospital [3] hospital,cremated [3] cremated,mon [3] mon,old Top Word Pairs in Tweet in G8:
[2] realdonaldtrump,potus [2] potus,make [2] make,#bigpharma [2] #bigpharma,liable [2] liable,product [2] product,don [2] don,#covid19 [2] #covid19,#vaccine [2] #vaccine,harm [2] harm,kill Top Word Pairs in Tweet in G10:
[7] irony,dr [7] dr,heiko [7] heiko,schoning [7] schoning,chanting [7] chanting,violence [7] violence,couple [7] couple,hours [7] hours,before [7] before,getting [7] getting,arrested Top Replied-To in Entire Graph:
Top Replied-To in G2:
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 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: