The graph represents a network of 682 Twitter users whose recent tweets contained "from:_ellabot", 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, 09 January 2023 at 16:46 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 0-minute period from Friday, 30 December 2022 at 20:15 UTC to Monday, 09 January 2023 at 05:15 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 : 682
Unique Edges : 1054
Edges With Duplicates : 1214
Total Edges : 2268
Number of Edge Types : 5
Retweet : 587
Tweet : 364
Mentions : 620
MentionsInRetweet : 631
Replies to : 66
Self-Loops : 364
Reciprocated Vertex Pair Ratio : 0.00176211453744493
Reciprocated Edge Ratio : 0.00351802990325418
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 682
Maximum Edges in a Connected Component : 2268
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.992187
Graph Density : 0.00244809900913354
Modularity : 0.266097
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 682 Twitter users whose recent tweets contained "from:_ellabot", 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, 09 January 2023 at 16:46 UTC.
The tweets in the network were tweeted over the 9-day, 9-hour, 0-minute period from Friday, 30 December 2022 at 20:15 UTC to Monday, 09 January 2023 at 05:15 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 : from:_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:
[102] #coding,#100daysofcode [70] #fintech,#iot [68] #python,#javascript [62] #womenintech,#womenwhocode [60] #bigdata,#analytics [58] #iot,#iiot [58] #womenwhocode,#womenintech [54] #flutter,#fintech [54] #tensorflow,#womenintech [54] #datascience,#bigdata Top Word Pairs in Tweet in G1:
[72] #coding,#100daysofcode [57] #womenintech,#womenwhocode [52] audible,books [52] books,free [51] #womenwhocode,#womenintech [47] #python,#javascript [45] #100daysofcode,#coding [44] #fintech,#iot [39] #flutter,#fintech [38] #javascript,#programming Top Word Pairs in Tweet in G2:
[27] #iot,#iiot [19] #iiot,#iotpl [12] #iotpl,#iotcl [11] #100daysofcode,#devcommunity [11] #python,#rstats [11] #ai,#ml [10] #iiot,#iotcl [10] #dei,#sdgs [10] iotpractitioner,iotslam [9] woman,year Top Word Pairs in Tweet in G3:
[3] #womenintech,#wogitech [2] solenneblg,meretebuljo Top Word Pairs in Tweet in G4:
[24] #bigdata,#analytics [23] #datascience,#bigdata [18] #coding,#100daysofcode [18] #ces,#ces2023 [14] #fintech,#iot [13] #python,#flutter [10] #ces2023,#ces [10] #ai,#datascience [10] #python,#javascript [8] #machinelearning,#ml Top Word Pairs in Tweet in G5:
[9] #datamoney,#womenintech [9] #smartcontract,#datamoney [9] #blockchain,#smartcontract [9] electraprotocol,#blockchain [8] #opensource,#crypto [8] #communitydriven,#development [8] #development,#opensource [8] #womenintech,#communitydriven [7] xep,electraprotocol [3] #shibgf,#womenintech Top Word Pairs in Tweet in G9:
[6] #wwcode,#womenwhocode [5] #wwcode,#womenintech [4] #womenwhocode,#womenintech [2] #womenwhocode,#wwcode [2] #womenintech,#womenwhocode [2] #womenintech,#gethired [2] learn,more [2] mid,level [2] #womenintech,#wwcode Top Word Pairs in Tweet in G10:
[2] #womenintech,#blockchain Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G7:
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Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
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Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: