The graph represents a network of 27 Twitter users whose recent tweets contained "#MONETIZA2022", 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 Friday, 21 October 2022 at 04:55 UTC.
The tweets in the network were tweeted over the 7-day, 2-hour, 52-minute period from Friday, 14 October 2022 at 01:53 UTC to Friday, 21 October 2022 at 04:45 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 : 27
Unique Edges : 49
Edges With Duplicates : 93
Total Edges : 142
Number of Edge Types : 5
Mentions : 28
MentionsInRetweet : 33
Retweet : 53
Replies to : 5
Tweet : 23
Self-Loops : 23
Reciprocated Vertex Pair Ratio : 0.163636363636364
Reciprocated Edge Ratio : 0.28125
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 26
Maximum Edges in a Connected Component : 138
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.088626
Graph Density : 0.0911680911680912
Modularity : 0.188715
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 27 Twitter users whose recent tweets contained "#MONETIZA2022", 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 Friday, 21 October 2022 at 04:55 UTC.
The tweets in the network were tweeted over the 7-day, 2-hour, 52-minute period from Friday, 14 October 2022 at 01:53 UTC to Friday, 21 October 2022 at 04:45 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 : #MONETIZA2022
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:
[19] evento,#monetiza2022 [8] día,#monetiza2022 [7] queda,poquito [7] increíble,#monetiza2022 [7] hoy,#monetiza2022 [7] tuvo,día [7] queda,buen [7] 000,hora [7] cuentas,top [7] 2º,último Top Word Pairs in Tweet in G1:
[9] evento,#monetiza2022 [6] online,gratuito [6] #ecommerce,inscríbete [6] #monetiza2022,online [6] ventas,negocio [6] utilizar,estrategias [6] aumentar,ventas [6] negocio,internet [6] estrategias,#marketingdigital [6] inscríbete,#monetiza2022 Top Word Pairs in Tweet in G2:
[9] evento,#monetiza2022 [5] gracias,evento [5] organizado,facchinjose [5] estar,tristes [5] llegamos,2º [5] queda,buen [5] último,día [5] día,marketing [5] marketing,digital [5] digital,gracias Top Word Pairs in Tweet in G3:
[5] serednet,#monetiza2022 [3] 7º,congreso [3] #monetiza2022,quiero [3] congreso,online [3] online,#monetiza2022 [3] #monetiza2022,pierdas [3] anaivarsparcero,serednet [3] quiero,hosting [3] pierdas,estamos [3] estamos,directo Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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 G4:
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: