The graph represents a network of 1,318 Twitter users whose recent tweets contained "#girlswhocode", 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 Monday, 16 August 2021 at 10:43 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 10-minute period from Sunday, 08 August 2021 at 01:31 UTC to Monday, 16 August 2021 at 09:41 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 : 1318
Unique Edges : 3745
Edges With Duplicates : 10520
Total Edges : 14265
Number of Edge Types : 5
Retweet : 9124
MentionsInRetweet : 3542
Replies to : 296
Mentions : 494
Tweet : 809
Self-Loops : 885
Reciprocated Vertex Pair Ratio : 0.0094321084692474
Reciprocated Edge Ratio : 0.0186879501654662
Connected Components : 8
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 1307
Maximum Edges in a Connected Component : 14251
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 3.179226
Graph Density : 0.00295943210243541
Modularity : 0.210506
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 1,318 Twitter users whose recent tweets contained "#girlswhocode", 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 Monday, 16 August 2021 at 10:43 UTC.
The tweets in the network were tweeted over the 8-day, 8-hour, 10-minute period from Sunday, 08 August 2021 at 01:31 UTC to Monday, 16 August 2021 at 09:41 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".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch
Graph Term : #girlswhocode
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1716] #laicism,#tfsm [1689] #womenwhocode,#python [1673] #girlswhocode,more [1673] more,#gods [1673] #gods,#saviours [1673] #saviours,#emperors [1673] #emperors,#tzars [1670] #gamedevs,#gideontheninth [1658] #tzars,#tyrants [1650] #tfsm,#lgbtq Top Word Pairs in Tweet in G1:
[1363] #laicism,#tfsm [1339] #womenwhocode,#python [1324] #girlswhocode,more [1324] more,#gods [1324] #gods,#saviours [1324] #saviours,#emperors [1324] #emperors,#tzars [1323] #gamedevs,#gideontheninth [1319] #tzars,#tyrants [1302] #tfsm,#lgbtq Top Word Pairs in Tweet in G2:
[251] #nftgiveaways,#nfts [251] #nfts,#girlswhocode [249] project,#girldad [249] #girldad,project [249] project,dads [249] dads,baby [249] baby,daughters [249] daughters,appreciate [249] appreciate,one [249] one,wanted Top Word Pairs in Tweet in G3:
[405] #womenwhocode,#girlswhocode [366] #100daysofcode,#girlswhocode [323] #girlswhocode,#opensource [299] #programming,#100daysofcode [255] #laicism,#tfsm [255] #womenwhocode,#python [254] #tfsm,#lgbtq [254] #gamedevs,#gideontheninth [254] #girlswhocode,more [254] more,#gods Top Word Pairs in Tweet in G4:
[111] #womenintech,#girlswhocode [90] #womenintech,#womeninstem [87] #womenwhocode,#girlswhocode [78] #100daysofcode,#girlswhocode [70] #girlswhocode,#womenintech [63] #womeninstem,#womenwhocode [62] #programming,#100daysofcode [59] #coding,#programming [56] #girlswhocode,#opensource [54] #opensource,#coding Top Word Pairs in Tweet in G5:
[76] #kids,#robotics [74] #womenwhocode,#girlswhocode [74] #csforall,#girlswhocode [70] #100daysofcode,#girlswhocode [69] #ai,#stem [62] #womenintech,#girlswhocode [61] #womenintech,#womeninstem [57] #laicism,#tfsm [56] #tfsm,#lgbtq [56] #girlswhocode,more Top Word Pairs in Tweet in G6:
[125] #girlswhocode,#100daysofcode [105] #100daysofcode,#girlswhocode [63] dynamicciso,#girlswhocode [51] rneelmani,hacback17 [33] #laicism,#tfsm [33] #python,#gamedevs [33] #gamedevs,#gideontheninth [33] #girlswhocode,more [33] more,#gods [33] #gods,#saviours Top Word Pairs in Tweet in G7:
[120] #100daysofcode,#girlswhocode [75] #webdesign,#webdev [70] #javascript,#100daysofcode [67] #html,#css [65] #webdev,#html [65] #css,#js [65] #js,#javascript [40] #freecodecamp,#webdev [40] #webdev,#programming [40] #programming,#100daysofcode Top Word Pairs in Tweet in G8:
[39] charity,stream [26] #girlswhocode,support [26] support,#actiblizzwalkout [25] animal,crossing [25] crossing,horizons [18] stream,#girlswhocode [18] #actiblizzwalkout,saturday [18] saturday,9am [18] 9am,come [18] come,lil Top Word Pairs in Tweet in G9:
[13] applying,scholarships [13] scholarships,very [13] very,stressful [13] stressful,time [13] time,consuming [13] consuming,decided [13] decided,create [13] create,easy [13] easy,scholarship [13] scholarship,help Top Word Pairs in Tweet in G10:
[14] custom,property [7] hey,know [7] know,define [7] define,custom [7] property,css [7] css,here's [7] here's,example [7] example,define [7] define,property [7] property,root 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 G5:
Top Replied-To in G6:
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 G8:
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: