The graph represents a network of 8 Twitter users whose recent tweets contained "#Infocorp", 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, 02 August 2021 at 09:28 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 13-minute period from Sunday, 25 July 2021 at 14:30 UTC to Monday, 02 August 2021 at 04:43 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 : 8
Unique Edges : 4
Edges With Duplicates : 59
Total Edges : 63
Number of Edge Types : 4
Tweet : 13
Retweet : 26
Mentions : 14
MentionsInRetweet : 10
Self-Loops : 13
Reciprocated Vertex Pair Ratio : 0.3
Reciprocated Edge Ratio : 0.461538461538462
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 7
Maximum Edges in a Connected Component : 62
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.4
Graph Density : 0.232142857142857
Modularity : 0.098891
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 8 Twitter users whose recent tweets contained "#Infocorp", 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, 02 August 2021 at 09:28 UTC.
The tweets in the network were tweeted over the 7-day, 14-hour, 13-minute period from Sunday, 25 July 2021 at 14:30 UTC to Monday, 02 August 2021 at 04:43 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 : #Infocorp
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:
[23] keynote,session [20] #infocorp,invita [14] invita,participar [14] participar,keynote [11] #bancadigital,#infocorp [10] bancos,enfocar [9] app,banco [9] banco,app [9] app,usuario [8] session,#jimmarous Top Word Pairs in Tweet in G1:
[9] keynote,session [8] #infocorp,invita [6] invita,participar [6] participar,keynote [5] bancos,enfocar [5] #bancadigital,#infocorp [4] session,jimmarous [4] jimmarous,ayudará [3] ayudará,obtener [3] obtener,mirada Top Word Pairs in Tweet in G2:
[3] #bancadigital,#infocorp [2] podemos,ayudarte [2] mujeres,transforman [2] transforman,bancos [2] bancos,#bancos [2] #bancos,#mujerespower [2] #mujerespower,#infocorp [2] #infocorp,#tranformaciondigital [2] #tranformaciondigital,#mujereslideres Top Word Pairs in Tweet in G3:
[13] keynote,session [11] #infocorp,invita [7] invita,participar [7] participar,keynote [5] app,banco [5] banco,app [5] app,usuario [5] session,#jimmarous [4] bancos,enfocar [4] canales,digitales Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: