The graph represents a network of 4,840 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, 06 April 2020 at 01:05 UTC.
The requested start date was Monday, 06 April 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 9-day, 12-hour, 14-minute period from Thursday, 26 March 2020 at 21:44 UTC to Sunday, 05 April 2020 at 09:59 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 : 4840
Unique Edges : 5158
Edges With Duplicates : 1605
Total Edges : 6763
Number of Edge Types : 4
MentionsInRetweet : 4204
Tweet : 849
Replies to : 340
Mentions : 1370
Self-Loops : 849
Reciprocated Vertex Pair Ratio : 0.00797607178464606
Reciprocated Edge Ratio : 0.0158259149357072
Connected Components : 672
Single-Vertex Connected Components : 427
Maximum Vertices in a Connected Component : 3503
Maximum Edges in a Connected Component : 5210
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.197198
Graph Density : 0.000215834157388573
Modularity : 0.70398
NodeXL Version : 1.0.1.429
Data Import : The graph represents a network of 4,840 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, 06 April 2020 at 01:05 UTC.
The requested start date was Monday, 06 April 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 9-day, 12-hour, 14-minute period from Thursday, 26 March 2020 at 21:44 UTC to Sunday, 05 April 2020 at 09:59 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:
[1085] #believeitornot,receiving [1085] receiving,complaints [1085] complaints,doctors [1085] doctors,serving [1085] serving,selflessly [1085] selflessly,diagnose [1062] diagnose,treat [1062] treat,combat [1060] mumbaipolice,#believeitornot [1053] combat,#coronavirâ Top Word Pairs in Tweet in G1:
[1075] #believeitornot,receiving [1075] receiving,complaints [1075] complaints,doctors [1075] doctors,serving [1075] serving,selflessly [1075] selflessly,diagnose [1052] diagnose,treat [1052] treat,combat [1050] mumbaipolice,#believeitornot [1043] combat,#coronavirâ Top Word Pairs in Tweet in G2:
[365] lotusoak2,dr [239] think,vaccines [239] fallen,marketing [239] marketing,trick [239] trick,know [238] know,half [231] vaccines,safe [231] safe,effective [231] effective,fallen [228] lotusoak2,think Top Word Pairs in Tweet in G3:
[19] #doctorsspeakup,#doctors [16] #doctors,#doctorsspeakup [15] #nursescovid19,#doctorsspeakup [14] doctors,nurses [13] #covid19,#doctorsspeakup [13] #nurses,#doctorsspeakup [12] #nursesareheroes,#doctorsspeakup [11] covid,19 [11] #coronavirus,#doctorsspeakup [11] #covidãƒ,19 Top Word Pairs in Tweet in G4:
[32] #doctorsspeakup,#nursescovid19 [22] #nursescovid19,#doctorsspeakup [19] proud,outreach [19] outreach,director [19] director,help_hospitals [19] help_hospitals,nurse [19] nurse,doctor [19] doctor,interested [19] interested,joining [18] joining,tâ Top Word Pairs in Tweet in G5:
[44] workers,thank [23] grocery,store [23] store,workers [23] pharmacy,workers [23] police,fire [23] fire,emt [21] thank,grocery [21] thank,truckers [21] truckers,thank [21] thank,pharmacy Top Word Pairs in Tweet in G6:
[12] super,cool [12] cool,trump [12] trump,went [12] went,hunt [12] hunt,ppe [11] #trumpistheworstpresidentever,#trumpliespeopledie [11] #trumpliespeopledie,#pressbriefing [11] #pressbriefing,#doctorsspeakup [11] #doctorsspeakup,#trumpviruscoverup [9] #trumpviruscoverup,#trumpiskillingus Top Word Pairs in Tweet in G7:
[7] drpanmd,#doctorsspeakup [7] highwiretalk,#doctorsspeakup [6] international,bioethical [6] bioethical,standards [6] standards,potentially [6] #doctorsspeakup,#giveusppe [6] #giveusppe,lamenting [6] lamenting,lack [6] lack,support [6] support,being Top Word Pairs in Tweet in G8:
[9] #doctorsspeakup,admit [7] democratfed,#doctorsspeakup [7] people,open [7] open,eyes [7] eyes,under [7] under,total [7] total,vaccine [7] vaccine,control [7] control,hell [7] hell,bill Top Word Pairs in Tweet in G9:
[6] feel,fine [6] fine,work [6] work,makes [6] makes,sense [6] sense,way [6] way,tested [6] tested,test [6] test,make [5] nataliebello9,feel [5] make,differâ Top Word Pairs in Tweet in G10:
[26] worries,start [26] start,having [26] having,nurses [26] nurses,doctors [26] doctors,die [26] die,#covid19 [26] #covid19,florida [26] florida,feel [26] feel,naked [26] naked,taking Top Replied-To in Entire Graph:
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Top Mentioned in Entire Graph:
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Top Tweeters in Entire Graph:
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