The graph represents a network of 15 Twitter users whose tweets in the requested range contained "#SproutChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 14 December 2022 at 21:34 UTC.
The requested start date was Wednesday, 14 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 93-day, 23-hour, 35-minute period from Friday, 09 September 2022 at 13:03 UTC to Monday, 12 December 2022 at 12:38 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 : 15
Unique Edges : 21
Edges With Duplicates : 26
Total Edges : 47
Number of Edge Types : 4
Retweet : 4
Tweet : 7
MentionsInRetweet : 13
Mentions : 23
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.12
Reciprocated Edge Ratio : 0.214285714285714
Connected Components : 3
Single-Vertex Connected Components : 2
Maximum Vertices in a Connected Component : 13
Maximum Edges in a Connected Component : 44
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.637427
Graph Density : 0.133333333333333
Modularity : 0.20756
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 15 Twitter users whose tweets in the requested range contained "#SproutChat", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 14 December 2022 at 21:34 UTC.
The requested start date was Wednesday, 14 December 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 93-day, 23-hour, 35-minute period from Friday, 09 September 2022 at 13:03 UTC to Monday, 12 December 2022 at 12:38 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 : GraphServerTwitterSearch
Graph Term : #SproutChat
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:
[5] nodexl,this0499154500 [5] this0499154500,hootsuite [5] #seochat,#seotalk [5] #hootchat,nodexl [5] amithpanchal,nassimretiere [4] nassimretiere,zenyinger [4] hootsuite,amithpanchal [3] #fbadschat,#seochat [3] 437,703 [3] #semrushchat,#hootchat Top Word Pairs in Tweet in G1:
[4] amithpanchal,nassimretiere [4] nodexl,this0499154500 [4] this0499154500,hootsuite [4] #hootchat,nodexl [3] nassimretiere,zenyinger [3] hootsuite,amithpanchal [2] zenyinger,lisaown [2] reutsmichael1,#hootchat Top Word Pairs in Tweet in G3:
[3] #sproutchat,#socialroi [3] 9054,#ppcchat [3] whatsapp,437 [3] #fbadschat,#seochat [3] #ppcchat,#fbadschat [3] #semrushchat,#hootchat [3] #seochat,#seotalk [3] 703,9054 [3] #seotalk,#semrushchat [3] 437,703 Top Word Pairs in Tweet in G4:
[2] #autoparts,#truckfittings [2] bearings,more [2] high,end [2] #truckfittings,#bearings [2] evening,snacks [2] end,bearings [2] more,focused [2] #sproutchat,#autoparts [2] #bearings,make [2] make,high Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: