The graph represents a network of 3,478 Twitter users whose recent tweets contained "#IDWeek2019", 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 Friday, 04 October 2019 at 13:51 UTC.
The tweets in the network were tweeted over the 9-day, 5-hour, 33-minute period from Wednesday, 25 September 2019 at 07:57 UTC to Friday, 04 October 2019 at 13:30 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 : 3478
Unique Edges : 10744
Edges With Duplicates : 9066
Total Edges : 19810
Self-Loops : 1688
Reciprocated Vertex Pair Ratio : 0.0710029374737726
Reciprocated Edge Ratio : 0.132591489695165
Connected Components : 168
Single-Vertex Connected Components : 113
Maximum Vertices in a Connected Component : 3179
Maximum Edges in a Connected Component : 19454
Maximum Geodesic Distance (Diameter) : 9
Average Geodesic Distance : 3.363134
Graph Density : 0.00105523804420506
Modularity : 0.342822
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[798] #whyivaccinate,#idweek2019 [381] #idweek2019,idweek2019 [379] infectious,diseases [330] #idweek2019,#sidp2019 [296] #vaccineswork,#idweek2019 [238] #idweek2019,#pidsidweek2019 [235] idweek2019,shea_epi [229] positive,impact [228] impact,vaccines [226] check,out Top Word Pairs in Tweet in G1:
[299] #idweek2019,#sidp2019 [255] #idweek2019,idweek2019 [189] idweek2019,shea_epi [184] #sidp2019,#idweek2019 [172] sidpharm,members [157] poster,sidpharm [149] idsainfo,atscommunity [145] #idtwitter,#iduptodate [144] full,abstract [143] abstract,#idweek2019 Top Word Pairs in Tweet in G2:
[117] oct,3 [104] check,out [98] #whyivaccinate,#idweek2019 [83] infectious,diseases [69] #idweek2019,#pidsidweek2019 [68] #vaccineswork,#idweek2019 [64] #idweek2019,idsainfo [63] don,t [57] idweek2019,#idweek2019 [57] #idweek2019,excited Top Word Pairs in Tweet in G3:
[337] #whyivaccinate,#idweek2019 [149] #idweek2019,#pidsidweek2019 [139] #vaccineswork,#idweek2019 [118] infectious,diseases [91] diseases,#whyivaccinate [88] seen,life [88] life,fade [88] fade,away [88] away,under [88] under,measles Top Word Pairs in Tweet in G4:
[196] #whyivaccinate,#idweek2019 [183] great,graphic [183] graphic,shows [183] shows,profound [183] profound,positive [183] positive,impact [183] impact,vaccines [183] vaccines,human [183] human,health [183] health,#whyivaccinate Top Word Pairs in Tweet in G5:
[58] infectious,diseases [49] idsainfo,hivma [40] t,shirt [36] hivma,idweek2019 [35] nihdirector,wearing [35] wearing,perfect [35] perfect,t [35] shirt,today [35] today,#idweek2019 [35] #idweek2019,entertainment Top Word Pairs in Tweet in G6:
[15] drmt,armstrws [13] rwalensky,drmt [13] armstrws,jcolasantimd [13] public,health [13] educator,award [12] much,cheaper [12] cheaper,generics [12] generics,well [12] well,look [12] look,table Top Word Pairs in Tweet in G7:
[16] #whyivaccinate,#idweek2019 [7] #idweek2019,#whyivaccinate [5] looking,forward [4] check,out [3] infectious,disease [3] #idweek2019,washington [3] #idweek2019,#vaccineswork [3] #idweek2019,#pids [3] infectious,diseases [3] learn,more Top Word Pairs in Tweet in G8:
[78] living,#hiv [75] people,living [74] clinical,trials [67] women,make [67] make,up [67] up,more [67] more,half [67] half,people [67] #hiv,underrepresented [67] underrepresented,clinical Top Word Pairs in Tweet in G9:
[22] washington,dc [12] booth,100 [10] rebiotix,serestx [10] serestx,vedantabio [8] data,clinical [8] clinical,research [8] research,programs [8] visit,booth [7] attending,#idweek2019 [7] mtig,member Top Word Pairs in Tweet in G10:
[15] medical,conference [13] people,walking [13] walking,posters [13] posters,medical [13] conference,#idweek2019 [7] sure,stop [6] id,fellow [6] fellow,training [6] contagion_live,booth [5] stay,tuned 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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