The graph represents a network of 2,027 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 Thursday, 03 October 2019 at 14:09 UTC.
The tweets in the network were tweeted over the 9-day, 0-hour, 10-minute period from Tuesday, 24 September 2019 at 13:54 UTC to Thursday, 03 October 2019 at 14:05 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 : 2027
Unique Edges : 6288
Edges With Duplicates : 4699
Total Edges : 10987
Self-Loops : 816
Reciprocated Vertex Pair Ratio : 0.0699229539177206
Reciprocated Edge Ratio : 0.13070652173913
Connected Components : 125
Single-Vertex Connected Components : 87
Maximum Vertices in a Connected Component : 1822
Maximum Edges in a Connected Component : 10751
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.331536
Graph Density : 0.00179219237237082
Modularity : 0.361635
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[263] #idweek2019,idweek2019 [199] infectious,diseases [195] idweek2019,shea_epi [192] oct,3 [190] #sidp2019,#idweek2019 [170] #idweek2019,#sidp2019 [126] check,out [120] idsainfo,atscommunity [118] #idtwitter,#iduptodate [109] #idweek2019,#idtwitter Top Word Pairs in Tweet in G1:
[96] idsainfo,atscommunity [94] #idtwitter,#iduptodate [66] infectious,diseases [66] #idweek2019,idweek2019 [63] cap,guidelines [60] idsainfo,hivma [54] new,idsainfo [52] #idweek2019,#medtwitter [51] t,shirt [50] atscommunity,more Top Word Pairs in Tweet in G2:
[109] oct,3 [61] check,out [55] definitely,want [55] #gender,#equity [55] 3,8am [55] need,help [54] #idweek2019,excited [54] excited,present [54] present,#gender [54] #equity,th Top Word Pairs in Tweet in G3:
[166] #sidp2019,#idweek2019 [163] idweek2019,shea_epi [162] #idweek2019,idweek2019 [154] #idweek2019,#sidp2019 [63] #idweek2019,#idtwitter [59] infectious,diseases [56] shea_epi,pidsociety [51] hivma,shea_epi [49] look,forward [45] sidp,proud Top Word Pairs in Tweet in G4:
[69] people,living [66] living,#hiv [62] clinical,trials [59] women,make [59] make,up [59] up,more [59] more,half [59] half,people [59] #hiv,underrepresented [59] underrepresented,clinical Top Word Pairs in Tweet in G5:
[8] looking,forward [3] infectious,disease [3] check,out [3] learn,more [3] excited,#idweek2019 [3] infectious,diseases [3] #idweek2019,looking [3] #idweek2019,washington [3] attend,#idweek2019 [3] #idweek2019,#pids Top Word Pairs in Tweet in G6:
[10] thinking,asking [10] asking,question [10] question,talk [10] talk,#idweek2019 [10] #idweek2019,credit [10] credit,danirabaiotti [7] idweek2019,shea_epi [6] infectious,diseases [6] #idweek2019,idweek2019 [6] looking,something Top Word Pairs in Tweet in G7:
[47] fantastic,summary [47] summary,slide [47] slide,#shorterisbetter [47] #shorterisbetter,comes [47] comes,treating [47] treating,many [47] many,common [47] common,infections [47] infections,#idweek2019 [10] johnsmcconnell,editor Top Word Pairs in Tweet in G8:
[16] patient,care [10] #idweek2019,next [10] next,week [9] 439,#idweek2019 [8] don,t [8] talks,posters [8] pro,tip [8] tip,designing [8] designing,hospital [8] hospital,rooms Top Word Pairs in Tweet in G9:
[7] #idweek2019,thursday [7] thursday,rushcch_id [5] d,c [5] join,lindsey [5] lindsey,baden [5] baden,m [5] m,d [5] d,nejm [5] nejm,deputy [5] deputy,editor Top Word Pairs in Tweet in G10:
[11] member,company [10] present,data [10] learn,more [9] rebiotix,serestx [9] serestx,vedantabio [9] washington,dc [8] company,presentations [8] data,clinical [8] clinical,research [8] research,programs 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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