The graph represents a network of 18 Twitter users whose recent tweets contained "networkeffects", 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 Wednesday, 13 October 2021 at 16:49 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 52-minute period from Wednesday, 06 October 2021 at 15:10 UTC to Wednesday, 13 October 2021 at 14:02 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 : 20
Edges With Duplicates : 6
Total Edges : 26
Number of Edge Types : 5
Mentions : 5
Tweet : 13
Retweet : 3
MentionsInRetweet : 4
Replies to : 1
Self-Loops : 13
Reciprocated Vertex Pair Ratio : 0.3
Reciprocated Edge Ratio : 0.461538461538462
Connected Components : 12
Single-Vertex Connected Components : 9
Maximum Vertices in a Connected Component : 5
Maximum Edges in a Connected Component : 11
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 0.666667
Graph Density : 0.042483660130719
Modularity : 0.447485
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 18 Twitter users whose recent tweets contained "networkeffects", 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 Wednesday, 13 October 2021 at 16:49 UTC.
The tweets in the network were tweeted over the 6-day, 22-hour, 52-minute period from Wednesday, 06 October 2021 at 15:10 UTC to Wednesday, 13 October 2021 at 14:02 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 : TwitterSearch
Graph Term : networkeffects
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:
[4] 165,27 [3] #networkeffects,yield [3] yield,energy [3] energy,adaptation [3] adaptation,resulting [3] resulting,competitive [3] competitive,advantage [3] advantage,possibly [3] possibly,#collectiveintelligence [3] #collectiveintelligence,worth Top Word Pairs in Tweet in G1:
[2] charging,submit [2] submit,data [2] data,disincentive [2] disincentive,accuracy [2] accuracy,keeps [2] keeps,largest [2] largest,population [2] population,companies [2] companies,small [2] small,businesses Top Word Pairs in Tweet in G2:
[3] #networkeffects,yield [3] yield,energy [3] energy,adaptation [3] adaptation,resulting [3] resulting,competitive [3] competitive,advantage [3] advantage,possibly [3] possibly,#collectiveintelligence [3] #collectiveintelligence,worth [3] worth,listening Top Word Pairs in Tweet in G3:
[4] 165,27 [2] 27,earned [2] earned,additional [2] additional,165 [2] 27,#networkeffects [2] #networkeffects,alone [2] alone,share [2] share,fees [2] fees,people [2] people,buying Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G2:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: