The graph represents a network of 244 Twitter users whose recent tweets contained "#WomenFunded2019", 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, 12 September 2019 at 17:07 UTC.
The tweets in the network were tweeted over the 8-day, 20-hour, 36-minute period from Tuesday, 03 September 2019 at 20:29 UTC to Thursday, 12 September 2019 at 17:05 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 : 244
Unique Edges : 527
Edges With Duplicates : 294
Total Edges : 821
Self-Loops : 65
Reciprocated Vertex Pair Ratio : 0.0894160583941606
Reciprocated Edge Ratio : 0.164154103852596
Connected Components : 21
Single-Vertex Connected Components : 11
Maximum Vertices in a Connected Component : 210
Maximum Edges in a Connected Component : 780
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.042333
Graph Density : 0.0100688119813803
Modularity : 0.45473
NodeXL Version : 1.0.1.419
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[35] womensfunding,#womenfunded2019 [34] women,girls [33] 12,trillion [28] climate,change [27] gender,equity [27] lucia,corral [27] corral,peña [25] indigenous,women [24] women,color [24] gender,inequality Top Word Pairs in Tweet in G1:
[25] lucia,corral [25] corral,peña [19] 1,3 [19] 3,women [19] women,experience [19] experience,domestic [19] domestic,violence [19] violence,lifetime [19] lifetime,more [19] more,many Top Word Pairs in Tweet in G2:
[24] womensfunding,#womenfunded2019 [14] investing,women [12] next,week [11] #womenfunded2019,conference [10] going,digital [10] digital,women [10] women,s [10] s,movement [10] movement,building [10] building,america Top Word Pairs in Tweet in G3:
[13] pivotal,ventures [13] gender,equity [13] women,girls [12] pamelashifman,novofoundation [11] deniserdunning,#womenfunded2019 [11] 12,trillion [11] much,little [10] #womenfunded2019,womensfunding [9] cummins,cdnwomenfdn [9] melindagates,pivotal Top Word Pairs in Tweet in G4:
[12] 12,trillion [7] gender,inequality [7] inequality,costs [7] trillion,annually [6] san,francisco [5] costs,world [5] world,12 [5] hello,san [5] francisco,glad [5] glad,here Top Word Pairs in Tweet in G5:
[11] nalini,singh [11] singh,chair [11] chair,fijiwomensfund [8] gender,climate [7] women,vital [7] vital,role [7] role,leading [7] leading,climate [7] climate,action [7] action,fantastic Top Word Pairs in Tweet in G6:
[24] climate,change [11] asia,pacific [10] people,think [10] think,women [10] women,victims [10] victims,climate [10] change,panel [10] panel,makes [10] makes,clear [10] clear,women Top Word Pairs in Tweet in G7:
[2] women,girls [2] want,supply [2] supply,chain [2] chain,look [2] look,didn [2] didn,t [2] t,gender [2] gender,based [2] based,violence [2] violence,exploitation Top Word Pairs in Tweet in G8:
[3] funding,network [3] network,conference [2] women's,funding [2] women,funded [2] funded,2019 [2] leadership,changing [2] changing,world [2] conference,#womenfunded2019 Top Word Pairs in Tweet in G9:
[2] hearing,women [2] kicking,#womenfunded2019 [2] #womenfunded2019,#equity [2] #equity,truths [2] truths,pamelashifman [2] pamelashifman,challenges [2] challenges,philanthropy [2] philanthropy,stop [2] stop,expecting [2] expecting,women Top Word Pairs in Tweet in G10:
[2] government,#pakistan [2] #pakistan,responsibility [2] responsibility,epidemic [2] epidemic,unpunished [2] unpunished,police [2] police,#violence [2] #violence,against [2] against,#women [2] #women,pakistan [2] pakistan,#punjabpolice Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G7:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: