The graph represents a network of 4,293 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 Saturday, 05 October 2019 at 16:48 UTC.
The tweets in the network were tweeted over the 10-day, 1-hour, 4-minute period from Wednesday, 25 September 2019 at 15:34 UTC to Saturday, 05 October 2019 at 16:39 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 : 4293
Unique Edges : 14154
Edges With Duplicates : 14164
Total Edges : 28318
Self-Loops : 2300
Reciprocated Vertex Pair Ratio : 0.0823138214442562
Reciprocated Edge Ratio : 0.152107124224683
Connected Components : 173
Single-Vertex Connected Components : 113
Maximum Vertices in a Connected Component : 3977
Maximum Edges in a Connected Component : 27938
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.340271
Graph Density : 0.000936253972471713
Modularity : 0.302492
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[908] #whyivaccinate,#idweek2019 [601] #idweek2019,idweek2019 [480] infectious,diseases [422] #idweek2019,#sidp2019 [389] idweek2019,shea_epi [326] #vaccineswork,#idweek2019 [319] #idweek2019,#pidsidweek2019 [311] check,out [298] don,t [296] #idweek2019,#idtwitter Top Word Pairs in Tweet in G1:
[334] #idweek2019,#sidp2019 [319] #idweek2019,idweek2019 [264] idweek2019,shea_epi [247] sidpharm,members [205] full,abstract [202] poster,sidpharm [187] abstract,#idweek2019 [158] #sidp2019,#idtwitter [150] #idweek2019,#idtwitter [135] infectious,diseases Top Word Pairs in Tweet in G2:
[181] #idweek2019,#pidsidweek2019 [147] check,out [141] #idweek2019,idweek2019 [127] infectious,diseases [119] #whyivaccinate,#idweek2019 [118] oct,3 [104] idweek2019,#idweek2019 [102] don,t [93] idweek2019,shea_epi [85] #idweek2019,idsainfo Top Word Pairs in Tweet in G3:
[124] #whyivaccinate,#idweek2019 [106] infectious,diseases [95] #vaccineswork,#idweek2019 [69] dr,samuel [69] samuel,katz [69] katz,one [69] one,developers [69] developers,#measles [69] #measles,vaccine [69] vaccine,tells Top Word Pairs in Tweet in G4:
[99] idsainfo,atscommunity [93] #idtwitter,#iduptodate [64] idsainfo,hivma [61] #idweek2019,idweek2019 [60] cap,guidelines [55] atscommunity,cap [55] guidelines,#idtwitter [53] #whyivaccinate,#idweek2019 [51] new,idsainfo [50] cap,#idweek2019 Top Word Pairs in Tweet in G5:
[361] #whyivaccinate,#idweek2019 [210] great,graphic [210] graphic,shows [210] shows,profound [210] profound,positive [210] positive,impact [210] impact,vaccines [210] vaccines,human [210] human,health [210] health,#whyivaccinate Top Word Pairs in Tweet in G6:
[62] #whyivaccinate,#idweek2019 [37] idweek2019,#idweek2019 [33] #vaccineswork,#idweek2019 [23] medieval,diseases [23] diseases,making [23] making,comeback [20] #idweek2019,#pidsidweek2019 [17] conference,#idweek2019 [17] plague,doctor [16] #idweek2019,#vaccineswork Top Word Pairs in Tweet in G7:
[99] people,living [86] living,#hiv [77] clinical,trials [66] women,make [66] make,up [66] up,more [66] more,half [66] half,people [66] #hiv,underrepresented [66] underrepresented,clinical Top Word Pairs in Tweet in G8:
[13] #whyivaccinate,#idweek2019 [5] looking,forward [5] infectious,diseases [5] #idweek2019,#whyivaccinate [4] learn,more [3] check,out [3] #idweek2019,washington [3] #idweek2019,#vaccineswork [3] ex,vivo [3] #vaccineswork,#idweek2019 Top Word Pairs in Tweet in G9:
[28] booth,100 [19] washington,dc [15] learn,more [15] #whyivaccinate,#idweek2019 [15] visit,booth [14] invasive,aspergillosis [13] good,morning [13] check,out [12] geographic,range [12] range,#histoplasmosis Top Word Pairs in Tweet in G10:
[15] infectious,diseases [11] clinical,practice [11] booth,716 [11] discounts,nejm [11] nejm,jwatch [10] nejm,journal [10] journal,watch [10] #idweek2019,jwatch [9] #cme,dinner [9] walter,e 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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Top Tweeters in G10: