The graph represents a network of 43 Twitter users whose recent tweets contained "#endhepcsf2019", 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 Tuesday, 17 September 2019 at 06:07 UTC.
The tweets in the network were tweeted over the 5-day, 4-hour, 16-minute period from Thursday, 12 September 2019 at 00:44 UTC to Tuesday, 17 September 2019 at 05:01 UTC.
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 : 43
Unique Edges : 73
Edges With Duplicates : 181
Total Edges : 254
Self-Loops : 20
Reciprocated Vertex Pair Ratio : 0.0594059405940594
Reciprocated Edge Ratio : 0.11214953271028
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 42
Maximum Edges in a Connected Component : 253
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.142776
Graph Density : 0.0592469545957918
Modularity : 0.220957
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[44] #endhepcsf2019,endhepcsf [26] #hepc,treatment [18] san,francisco [14] hep,c [14] research,symposium [14] endhepcsf,ucsf_epibiostat [14] hepatitis,c [13] janessa,broussard [11] care,cascade [11] trans,women Top Word Pairs in Tweet in G1:
[32] #endhepcsf2019,endhepcsf [18] #hepc,treatment [13] endhepcsf,ucsf_epibiostat [11] san,francisco [9] meghan,morris [9] trans,women [8] care,cascade [7] annie,luetkemeyer [7] luetkemeyer,ucsf_hividgm [6] successful,#hepc Top Word Pairs in Tweet in G2:
[10] #endhepcsf2019,endhepcsf [7] harm,reduction [6] hep,c [6] #hepc,treatment [6] paul,harkin [5] jessica,naugle [5] glide,s [4] janessa,broussard [4] research,symposium [3] emily,raganold Top Word Pairs in Tweet in G3:
[14] hepatitis,c [6] hcv,prevalence [6] prevalence,#transwomen [6] #transwomen,sf [6] sf,9x [6] 9x,higher [6] higher,local [6] local,rate [6] rate,population [6] population,falling Top Word Pairs in Tweet in G4:
[3] janessa,broussard [3] #harmreduction,center [2] broussard,nurse [2] nurse,led [2] led,#hepc [2] #hepc,treatment [2] treatment,program [2] program,sfaidsfound [2] sfaidsfound,6th [2] 6th,street Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: