The graph represents a network of 2,112 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, 18 May 2020 at 00:23 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 6-hour, 38-minute period from Monday, 04 May 2020 at 04:05 UTC to Sunday, 17 May 2020 at 10:44 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 : 2112
Unique Edges : 740
Edges With Duplicates : 5117
Total Edges : 5857
Number of Edge Types : 5
Retweet : 2499
MentionsInRetweet : 2878
Tweet : 212
Replies to : 38
Mentions : 230
Self-Loops : 268
Reciprocated Vertex Pair Ratio : 0.00486223662884927
Reciprocated Edge Ratio : 0.00967741935483871
Connected Components : 98
Single-Vertex Connected Components : 34
Maximum Vertices in a Connected Component : 1748
Maximum Edges in a Connected Component : 5196
Maximum Geodesic Distance (Diameter) : 11
Average Geodesic Distance : 2.441771
Graph Density : 0.000556249371976516
Modularity : 0.325888
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 2,112 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, 18 May 2020 at 00:23 UTC.
The requested start date was Monday, 18 May 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 6-hour, 38-minute period from Monday, 04 May 2020 at 04:05 UTC to Sunday, 17 May 2020 at 10:44 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:
[513] lotusoak2,dr [251] infant,dies [251] dies,#vaccines [251] #vaccines,family [251] family,gets [251] gets,back [251] back,hospital [251] hospital,cremated [251] cremated,mon [251] mon,old Top Word Pairs in Tweet in G1:
[478] lotusoak2,dr [237] infant,dies [237] dies,#vaccines [237] #vaccines,family [237] family,gets [237] gets,back [237] back,hospital [237] hospital,cremated [237] cremated,mon [237] mon,old Top Word Pairs in Tweet in G2:
[106] lotusoak2,watch [106] watch,speech [106] speech,dr [106] dr,rachael [106] rachael,ross [106] ross,md [106] md,phd [106] phd,ex [106] ex,co [106] co,host Top Word Pairs in Tweet in G3:
[20] #doctorsspeakup,bc [20] bc,paid [20] paid,corrupt [20] corrupt,industry [20] industry,trust [20] trust,products [20] products,promoting [20] promoting,safe [19] drtessat,#doctorsspeakup [13] wrote,ed Top Word Pairs in Tweet in G4:
[6] dallasrbaird,markie_kmarky8 [6] markie_kmarky8,pattikimble [6] pattikimble,trishbeme [6] trishbeme,agavecorn [6] agavecorn,robyn_chercrew [6] robyn_chercrew,swags_d17 [6] swags_d17,janforney1 [6] janforney1,mtnmd [5] restlessnews,dallasrbaird [5] mtnmd,davidjame Top Word Pairs in Tweet in G5:
[7] #doctorsspeakup,#nursesspeakup [6] censoring,nurses [6] nurses,#doctorsspeakup [6] #nursesspeakup,#censorship [6] #censorship,#covid19 [5] cultivatediq,censoring [4] drpanmd,#doctorsspeakup [4] #endlockdown,#medicalmistakes [4] #medicalmistakes,#cdciscorrupt [4] #cdciscorrupt,#doctorsspeakup Top Word Pairs in Tweet in G6:
[3] #pandemic,#doctorsspeakup [2] reporting,covid [2] covid,19 [2] #covidãƒ,19 [2] #plandemic,#doctorsspeakup [2] #wwg1wga,#wwg1wgaworldwide [2] #covid19,#doctorsspeakup [2] #coronavirus,#doctorsspeakup [2] #doctorsspeakup,#vaccines [2] #vaccines,harm Top Word Pairs in Tweet in G7:
[9] drlal2010,dr_uditraj [9] dr_uditraj,drramlal [9] drramlal,drsampatnagar [9] drsampatnagar,amariyanitin [9] amariyanitin,imaindiaorg [9] imaindiaorg,residentdoctors [9] residentdoctors,interndoctors [8] publicgrievanc2,drlal2010 [8] interndoctors,zeerajasth Top Word Pairs in Tweet in G8:
[6] borisjohnson,sit [6] sit,back [6] back,watch [6] watch,loved [6] loved,ones [6] ones,die [6] die,care [6] care,homes [6] homes,hospitals [6] hospitals,#covid_19 Top Word Pairs in Tweet in G9:
[3] pmcsupertuners,justthenews [3] anti,vaxxer [3] vaxxer,vaxxed [3] vaxxed,blindly [3] blindly,faith [3] faith,trust [3] trust,ameracadpeds [3] ameracadpeds,unmedicated [3] unmedicated,birth [3] birth,put Top Word Pairs in Tweet in G10:
[2] plz,hv [2] hv,look [2] look,sir [2] sir,arvindkejriwal [2] arvindkejriwal,mohfw_india [2] mohfw_india,#doctorsspeakup [2] #doctorsspeakup,#covid [2] #covid,#coronavirus [2] #coronavirus,#coronawarriorsindia 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 G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
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:
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Top Tweeters in G9:
Top Tweeters in G10: