The graph represents a network of 594 Twitter users whose recent tweets contained "from:_ellabot OR to:_ellabot", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/2/2023 5:41:04 PM and 1/9/2023 5:42:02 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 16:45 UTC.
The tweets in the network were tweeted over the 1671-day, 23-hour, 17-minute period from Tuesday, 12 June 2018 at 16:57 UTC to Monday, 09 January 2023 at 16:15 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 594
Unique Edges : 615
Edges With Duplicates : 1339
Total Edges : 1954
Number of Edge Types : 8
Mentions : 229
MentionsInQuote : 76
MentionsInReplyTo : 182
Tweet : 253
Retweet : 455
MentionsInRetweet : 709
Replies to : 43
Quote : 7
Self-Loops : 281
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 594
Maximum Edges in a Connected Component : 1954
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.506825
Graph Density : 0.00233930082159424
Modularity : 0.293216
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 594 Twitter users whose recent tweets contained "from:_ellabot OR to:_ellabot", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/2/2023 5:41:04 PM and 1/9/2023 5:42:02 PM. The network was obtained from Twitter on Monday, 09 January 2023 at 16:45 UTC.
The tweets in the network were tweeted over the 1671-day, 23-hour, 17-minute period from Tuesday, 12 June 2018 at 16:57 UTC to Monday, 09 January 2023 at 16:15 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch2
Graph Term : from:_ellabot OR to:_ellabot
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:
[34] #100daysofcode,#coding [31] #coding,#100daysofcode [30] #womenwhocode,#womenintech [29] #datascience,#bigdata [28] #bigdata,#analytics [27] #womenintech,#womenwhocode [27] #python,#javascript [26] #womenintech,#programming [26] audible,books [26] books,free Top Word Pairs in Tweet in G1:
[29] #100daysofcode,#coding [26] audible,books [26] books,free [25] #womenintech,#womenwhocode [25] #womenwhocode,#womenintech [21] women,tech [20] #python,#javascript [18] prime,30 [18] try,amazon [18] amazon,prime Top Word Pairs in Tweet in G2:
[14] #iot,#iiot [8] #iiot,#iotcl [8] #machinelearning,#ml [7] #iiot,#iotpl [7] thank,iotcommunity [7] #sdgs,#womenintech [7] #iotcommunity,#iot [7] iotpractitioner,iotslam [7] iotcommunity,#iotpl [7] #iotpl,woman Top Word Pairs in Tweet in G3:
[2] 33,filles [2] 61,garçons [2] sont,encouragées [2] leurs,parents [2] solenneblg,meretebuljo [2] vers,numérique [2] par,leurs [2] #womenintech,#wogitech [2] encouragées,par Top Word Pairs in Tweet in G4:
[16] #datascience,#bigdata [15] #bigdata,#analytics [12] #coding,#100daysofcode [11] #fintech,#iot [10] #ces,#ces2023 [9] #ces2023,#ces [8] #ai,#datascience [7] #python,#flutter [7] #womenintech,#programming [7] #python,#javascript Top Word Pairs in Tweet in G6:
[8] electraprotocol,#blockchain [8] #smartcontract,#datamoney [8] #datamoney,#womenintech [8] #blockchain,#smartcontract [7] #opensource,#crypto [7] #communitydriven,#development [7] #womenintech,#communitydriven [7] #development,#opensource [6] xep,electraprotocol [3] #shibgf,#womenintech Top Word Pairs in Tweet in G9:
[4] #wwcode,#womenwhocode [3] #wwcode,#womenintech [2] learn,more [2] #womenwhocode,#womenintech [2] #womenintech,#wwcode Top Word Pairs in Tweet in G10:
[2] #womenintech,#blockchain 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 G6:
Top Replied-To in G10:
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 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: