The graph represents a network of 4,069 Twitter users whose recent tweets contained "reactjs", 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, 18 October 2022 at 20:28 UTC.
The tweets in the network were tweeted over the 3-day, 17-hour, 0-minute period from Saturday, 15 October 2022 at 02:18 UTC to Tuesday, 18 October 2022 at 19:18 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 : 4069
Unique Edges : 8550
Edges With Duplicates : 23648
Total Edges : 32198
Number of Edge Types : 5
Retweet : 15019
MentionsInRetweet : 11108
Replies to : 769
Tweet : 2872
Mentions : 2430
Self-Loops : 3149
Reciprocated Vertex Pair Ratio : 0.0131911817853271
Reciprocated Edge Ratio : 0.0260388799714642
Connected Components : 412
Single-Vertex Connected Components : 270
Maximum Vertices in a Connected Component : 3410
Maximum Edges in a Connected Component : 31495
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.130266
Graph Density : 0.000677472884773063
Modularity : 0.251266
NodeXL Version : 1.0.1.506
Graph Gallery URL : https://nodexlgraphgallery.org/Pages/Graph.aspx?graphID=283095
Data Import : The graph represents a network of 4,069 Twitter users whose recent tweets contained "reactjs", 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, 18 October 2022 at 20:28 UTC.
The tweets in the network were tweeted over the 3-day, 17-hour, 0-minute period from Saturday, 15 October 2022 at 02:18 UTC to Tuesday, 18 October 2022 at 19:18 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 : reactjs
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:
[8814] #javascript,#reactjs [7509] #bigdata,#analytics [7068] #programming,#coding [6103] #coding,#100daysofcode [5722] #python,#rstats [5665] #rstats,#tensorflow [5225] #datascientist,#linux [5108] #iot,#iiot [4962] #analytics,#datascience [4819] #linux,#programming Top Word Pairs in Tweet in G1:
[5677] #javascript,#reactjs [5384] #bigdata,#analytics [4846] #programming,#coding [4120] #coding,#100daysofcode [3824] #python,#rstats [3739] #rstats,#tensorflow [3441] #datascientist,#linux [3404] #linux,#programming [3387] #ai,#machinelearning [3347] #analytics,#datascience Top Word Pairs in Tweet in G2:
[1395] #bigdata,#analytics [1376] #programming,#coding [1361] #rstats,#tensorflow [1349] #javascript,#reactjs [1339] #coding,#100daysofcode [1313] #cloudcomputing,#serverless [1301] #python,#rstats [1286] #serverless,#datascientist [1273] #datascientist,#linux [1171] #analytics,#datascience Top Word Pairs in Tweet in G3:
[825] html,css [297] css,reactjs [274] css,vuejs [274] css,svelte [271] job,html [271] dependencies,production [271] vuejs,move [271] move,faster [271] svelte,dependencies [271] reactjs,job Top Word Pairs in Tweet in G4:
[146] #javascript,#reactjs [87] day,#100daysofcode [87] #bigdata,#analytics [79] #programming,#coding [70] #coding,#100daysofcode [68] #rstats,#tensorflow [66] #python,#rstats [65] #reactjs,#javascript [65] #datascientist,#linux [56] #analytics,#datascience Top Word Pairs in Tweet in G5:
[343] #javascript,#reactjs [335] #bigdata,#analytics [318] #programming,#coding [310] #python,#reactjs [263] #coding,#100daysofcode [243] #programming,#codenewbie [243] #codenewbie,#python [243] #reactjs,#bugbounty [241] #infosec,#gamedev [238] #rstats,#tensorflow Top Word Pairs in Tweet in G6:
[28] #javascript,#reactjs [23] react,js [15] promises,async [15] support,promises [15] reactjs,rfcs [15] pull,request [15] class,support [15] async,await [15] first,class [15] rfc,first Top Word Pairs in Tweet in G7:
[1159] #javascript,#reactjs [874] #iot,#iiot [672] #reactjs,#wordpress [664] #flutter,#html [662] #iiot,#pytorch [662] #html,#azure [650] #wordpress,#security [644] #security,#defi [642] #fintech,#insurtech [635] #insurtech,#ai Top Word Pairs in Tweet in G8:
[55] reactで大きな変化が,こりゃあ嬉しい [11] reactの,use [11] 勉強していたみなさんおめでとう,内容としてはconditionalに呼べる点が特徴的だ [11] これはsuspenseの機構を理解しているとすんなり理解できるはずだ,勉強していたみなさんおめでとう [11] rfc,これはsuspenseの機構を理解しているとすんなり理解できるはずだ [11] use,rfc [4] use,usable [3] allow,re [3] desire,use [3] use,asynciterable Top Word Pairs in Tweet in G9:
[19] learn,reactjs [16] build,world [16] world,projects [14] happy,learning [14] css,learn [14] projects,add [14] tip,build [14] javascript,learn [14] reactjs,angular [14] angular,bonus Top Word Pairs in Tweet in G10:
[64] #frontend,#webdev [61] #webdev,#dormosheio [50] #dormosheio,#reactjs [50] #reactjs,#javascript [32] #javascript,#frontenddev [32] #typescript,#frontend [26] #javascript,#frontend [24] #javascript,#reactjs [21] #reactjs,#css [18] js,#typescript Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
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 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: