The graph represents a network of 18 Twitter users whose tweets in the requested range contained "#BizGalz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 July 2022 at 11:00 UTC.
The requested start date was Sunday, 03 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 88-day, 14-hour, 0-minute period from Thursday, 10 March 2022 at 21:30 UTC to Tuesday, 07 June 2022 at 11:30 UTC.
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 : 18
Unique Edges : 13
Edges With Duplicates : 89
Total Edges : 102
Number of Edge Types : 5
Replies to : 1
Mentions : 50
Retweet : 19
Tweet : 6
MentionsInRetweet : 26
Self-Loops : 20
Reciprocated Vertex Pair Ratio : 0.0689655172413793
Reciprocated Edge Ratio : 0.129032258064516
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 15
Maximum Edges in a Connected Component : 100
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 1.777778
Graph Density : 0.101307189542484
Modularity : 0.13788
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 18 Twitter users whose tweets in the requested range contained "#BizGalz", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 03 July 2022 at 11:00 UTC.
The requested start date was Sunday, 03 July 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 88-day, 14-hour, 0-minute period from Thursday, 10 March 2022 at 21:30 UTC to Tuesday, 07 June 2022 at 11:30 UTC.
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 : GraphServerTwitterSearch
Graph Term : #BizGalz
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:
[16] monday,twitter [16] twitter,chats [16] chats,8am [16] 8am,#ecomchat [16] #ecomchat,12pm [16] 12pm,#seotalk [16] #seotalk,1pm [16] 1pm,#bizgalz [16] #bizgalz,8pm [16] 8pm,#berelentless Top Word Pairs in Tweet in G1:
[4] #bizgalz,nodexl [4] nodexl,this0499154500 [4] this0499154500,mmsjennifer [3] this0499154500,#bizgalz [3] mmsjennifer,1vote6trees [3] 1vote6trees,zalkab [2] kapoors_s,sayftycom [2] zalkab,co [2] co,kapoors_s Top Word Pairs in Tweet in G2:
[16] monday,twitter [16] twitter,chats [16] chats,8am [16] 8am,#ecomchat [16] #ecomchat,12pm [16] 12pm,#seotalk [16] #seotalk,1pm [16] 1pm,#bizgalz [16] #bizgalz,8pm [16] 8pm,#berelentless Top Word Pairs in Tweet in G5:
[2] laura,miller [2] miller,ceo [2] ceo,tempdev [2] tempdev,talks [2] talks,dual [2] dual,skill [2] skill,set [2] set,uses [2] uses,grow [2] grow,#healthtech Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G5:
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: