The graph represents a network of 3,646 Twitter users whose recent tweets contained "#100DaysOfCode", 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, 24 November 2022 at 16:56 UTC.
The tweets in the network were tweeted over the 1-day, 2-hour, 58-minute period from Wednesday, 23 November 2022 at 12:42 UTC to Thursday, 24 November 2022 at 15:40 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 : 3646
Unique Edges : 11546
Edges With Duplicates : 16584
Total Edges : 28130
Number of Edge Types : 5
Tweet : 3421
Retweet : 14589
MentionsInRetweet : 8240
Replies to : 140
Mentions : 1740
Self-Loops : 3911
Reciprocated Vertex Pair Ratio : 0.0149373360536287
Reciprocated Edge Ratio : 0.0294349917438438
Connected Components : 275
Single-Vertex Connected Components : 237
Maximum Vertices in a Connected Component : 3306
Maximum Edges in a Connected Component : 27672
Maximum Geodesic Distance (Diameter) : 8
Average Geodesic Distance : 3.386933
Graph Density : 0.00104810728934579
Modularity : 0.351549
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 3,646 Twitter users whose recent tweets contained "#100DaysOfCode", 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, 24 November 2022 at 16:56 UTC.
The tweets in the network were tweeted over the 1-day, 2-hour, 58-minute period from Wednesday, 23 November 2022 at 12:42 UTC to Thursday, 24 November 2022 at 15:40 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 : #100DaysOfCode
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[2943] #coding,#100daysofcode [2407] #bigdata,#analytics [2335] #javascript,#reactjs [2279] #programming,#coding [1695] #datascientist,#linux [1671] #analytics,#datascience [1671] #iot,#iiot [1662] #ai,#machinelearning [1620] #rstats,#tensorflow [1598] #datascience,#ai Top Word Pairs in Tweet in G1:
[715] #100daysofcode,today [533] wakatime,goal [526] towards,wakatime [526] goal,coding [526] today,coded [466] mins,towards [435] game,day [431] online,classes [428] day,homework [427] #托福保分,#澳洲代写 Top Word Pairs in Tweet in G2:
[1874] #coding,#100daysofcode [1510] #bigdata,#analytics [1339] #programming,#coding [1310] #javascript,#reactjs [1103] #ai,#machinelearning [1045] #datascientist,#linux [1003] #analytics,#datascience [1002] #rstats,#tensorflow [986] #datascience,#ai [984] #python,#rstats Top Word Pairs in Tweet in G3:
[701] #bigdata,#analytics [655] #javascript,#reactjs [654] #coding,#100daysofcode [648] #programming,#coding [546] #analytics,#datascience [529] #serverless,#datascientist [529] #datascientist,#linux [517] #rstats,#tensorflow [500] #python,#rstats [470] #iot,#iiot Top Word Pairs in Tweet in G4:
[254] #javascript,#reactjs [222] #coding,#100daysofcode [177] #100daysofcode,today [177] #100daysofcode,#javascript [157] #iot,#iiot [155] #python,#iot [153] #html,#azure [153] #security,#defi [153] #wordpress,#security [153] #flutter,#html Top Word Pairs in Tweet in G5:
[45] #quordle206,#100daysofcode [40] essay,due [37] #100daysofcode,#iot [30] high,score [30] online,class [28] #澳洲代写,#美国代写 [24] score,guaranteed [18] paper,pay [17] #雅思代考,#澳洲代考 [17] #代写essay,#论文代写 Top Word Pairs in Tweet in G6:
[68] #javascript,#python [62] #100daysofcode,#javascript [52] #coding,#100daysofcode [50] #womenwhocode,#100daysofcode [47] #python,#apple [47] #vr,#microsoft [47] #apple,#vr [47] #100daysofcode,#python [39] #programming,#coding [38] #javascript,#reactjs Top Word Pairs in Tweet in G7:
[61] #redux,#django [41] #django,#python [30] #webdevelopment,#javascript [30] #wordpress,#redux [30] courses,gt [29] gt,#100daysofcode [25] #css,#wordpress [25] #html,#css [25] #python,#vuex [24] #womeninstem,#fintech Top Word Pairs in Tweet in G8:
[67] #nfts,#100daysofcode [67] #blockchain,#nfts [67] #web3,#crypto [67] #100daysofcode,#web3 [66] #ml,#datascience [66] #datascience,#python [63] #ai,#ml [60] #indiedev,#vroid [58] #vroid,#gamedev [58] #crypto,#artcommissions Top Word Pairs in Tweet in G9:
[22] #caparledev,#100daysofcode [22] debunk,#caparledev [22] time,debunk [22] app,technically [22] sometimes,dms [22] technically,reverse [22] app,external [22] free,reach [22] engineering,glitches [22] etc,built Top Word Pairs in Tweet in G10:
[38] free,software [38] bootcamp,starts [38] software,engineering [38] #100devs,free [38] starts,60mins [38] engineering,bootcamp [35] join,live [35] live,30pm [33] 60mins,join [27] 30pm,#100daysofcode Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G4:
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 G7:
Top Mentioned in G8:
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: