The graph represents a network of 3,042 Twitter users whose recent tweets contained "immunology", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 05 January 2020 at 22:02 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 47-minute period from Saturday, 28 December 2019 at 22:22 UTC to Sunday, 05 January 2020 at 21:10 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 : 3042
Unique Edges : 4520
Edges With Duplicates : 1553
Total Edges : 6073
Number of Edge Types : 5
Tweet : 729
Retweet : 1006
Replies to : 349
Mentions : 2154
MentionsInRetweet : 1835
Self-Loops : 767
Reciprocated Vertex Pair Ratio : 0.0231280054957637
Reciprocated Edge Ratio : 0.0452103849597135
Connected Components : 623
Single-Vertex Connected Components : 349
Maximum Vertices in a Connected Component : 1544
Maximum Edges in a Connected Component : 3912
Maximum Geodesic Distance (Diameter) : 21
Average Geodesic Distance : 7.280081
Graph Density : 0.000482989327751931
Modularity : 0.688545
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 3,042 Twitter users whose recent tweets contained "immunology", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Sunday, 05 January 2020 at 22:02 UTC.
The tweets in the network were tweeted over the 7-day, 22-hour, 47-minute period from Saturday, 28 December 2019 at 22:22 UTC to Sunday, 05 January 2020 at 21:10 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 : TwitterSearch
Graph Term : immunology
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:
[196] myeloid,cells [185] pd,myeloid [172] renal,immunology [170] cjasn,special [170] special,series [162] series,clinicians [162] clinicians,glomerular [162] glomerular,disease [162] disease,co [162] co,mcaqh8otlh Top Word Pairs in Tweet in G1:
[24] vanishing,twin [24] age,immunology [17] twin,age [16] pd,myeloid [16] myeloid,cells [14] deletion,pd [13] allergy,immunology [12] targeted,deletion [12] cells,induces [12] induces,antitumor Top Word Pairs in Tweet in G2:
[29] pjmoore1958,jahisatanas [28] thereal_truther,jeanne18814995 [28] harrywatson1988,rosewind2007 [28] rosewind2007,speaksintruth [27] notyour28981739,reason2voice [27] docemru,jestrbob [27] jestrbob,rolandbouman [27] rolandbouman,takethatdoctors [26] jahisatanas,roguetrader84 [26] roguetrader84,thereal_truther Top Word Pairs in Tweet in G3:
[21] viruses,absolutely [21] absolutely,fascinating [21] fascinating,teach [21] teach,host [21] host,cell [21] cell,biology [21] biology,genetics [21] genetics,developmental [21] developmental,biology [21] biology,structural Top Word Pairs in Tweet in G4:
[65] #genomics,#immunology [54] #rstats,#itrtg [46] #immunology,#raredisease [45] #genomics,#raredisease [34] #immunology,#genomics [32] #technology,#rstats [31] #scicomm,#technology [31] #primaryimmunodeficiency,disorders [27] department,pathology [27] laboratory,medicine Top Word Pairs in Tweet in G5:
[114] pd,myeloid [114] myeloid,cells [114] 000,000 [101] shakeup,thinking [101] thinking,#cancer [101] #cancer,#immunotherapy [101] #immunotherapy,remarkable [101] remarkable,surprising [101] surprising,results [101] results,indicate Top Word Pairs in Tweet in G6:
[168] cjasn,special [168] special,series [168] renal,immunology [160] series,clinicians [160] clinicians,glomerular [160] glomerular,disease [160] disease,co [160] co,mcaqh8otlh [160] mcaqh8otlh,renal [160] renal,physiology Top Word Pairs in Tweet in G7:
[14] 01,2020 [13] immunology,evolution [12] avian,immunology [12] immunology,phd [12] phd,opportunity [12] opportunity,related [12] related,ovo [12] ovo,vaccination [12] vaccination,against [12] against,viral Top Word Pairs in Tweet in G8:
[14] dr,kim [7] immune,checkpoint [7] kicking,#2020 [7] #2020,faculty [7] faculty,appreciation [7] appreciation,#vi4facultyspotlight [7] #vi4facultyspotlight,glad [7] glad,dr [7] kim,team [7] team,dr Top Word Pairs in Tweet in G10:
[3] esjabe1,tinkier [3] tinkier,scamhunter486 [3] scamhunter486,gkylilghost [3] gkylilghost,annisalli59 [3] annisalli59,inezshooter [3] inezshooter,janamb [3] jimgamble_ineqe,nancyparks8 [3] nancyparks8,nessiestressy [3] nessiestressy,natalie01016290 [3] natalie01016290,max_____xxx Top Replied-To in Entire Graph:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G9:
Top Tweeters in G10: