The graph represents a network of 48 Twitter users whose recent tweets contained "#EUSN2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 9/28/2023 11:42:43 AM. The network was obtained from Twitter on Thursday, 28 September 2023 at 18:43 UTC.
The tweets in the network were tweeted over the 185-day, 3-hour, 6-minute period from Monday, 27 March 2023 at 08:36 UTC to Thursday, 28 September 2023 at 11:43 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
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 : 48
Unique Edges : 51
Edges With Duplicates : 29
Total Edges : 80
Number of Edge Types : 6
Mentions : 52
Tweet : 13
MentionsInQuote : 2
Replies to : 3
MentionsInReplyTo : 7
Quote : 3
Self-Loops : 16
Reciprocated Vertex Pair Ratio : 0.04
Reciprocated Edge Ratio : 0.0769230769230769
Connected Components : 8
Single-Vertex Connected Components : 5
Maximum Vertices in a Connected Component : 39
Maximum Edges in a Connected Component : 72
Maximum Geodesic Distance (Diameter) : 7
Average Geodesic Distance : 3.512386
Graph Density : 0.0230496453900709
Modularity : 0.504922
NodeXL Version : 1.0.1.522
Data Import : The graph represents a network of 48 Twitter users whose recent tweets contained "#EUSN2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 20,000 tweets, tweeted between 1/1/2023 12:00:00 AM and 9/28/2023 11:42:43 AM. The network was obtained from Twitter on Thursday, 28 September 2023 at 18:43 UTC.
The tweets in the network were tweeted over the 185-day, 3-hour, 6-minute period from Monday, 27 March 2023 at 08:36 UTC to Thursday, 28 September 2023 at 11:43 UTC.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, an edge for each "retweet" relationship in a tweet, an edge for each "quote" relationship in a tweet, an edge for each "mention in retweet" relationship in a tweet, an edge for each "mention in reply-to" relationship in a tweet, an edge for each "mention in quote" relationship in a tweet, an edge for each "mention in quote reply-to" relationship in a tweet, and a self-loop edge for each tweet that is not from above.
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : TwitterSearch3
Graph Term : #EUSN2023
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:
[6] #eusn2023,ljubljana [4] looking,forward [3] sept,2023 [3] culture,interaction [3] #eusn2023,conference [3] social,network [3] networks,culture [2] snannabell,fuhsejan [2] night,train [2] eusn2023,css_budapest Top Word Pairs in Tweet in G1:
[3] #eusn2023,ljubljana [2] social,network [2] #sna,#networkscience Top Word Pairs in Tweet in G2:
[2] károly,takács Top Word Pairs in Tweet in G3:
[3] culture,interaction [3] networks,culture [2] fuhsejan,eusn2023 [2] snannabell,fuhsejan [2] #eusn2023,ljubljana [2] session,networks [2] snannabell,h_plessner [2] friendly,conference [2] eco,friendly [2] night,train Top Word Pairs in Tweet in G6:
[3] sept,2023 Top Word Pairs in Tweet in G7:
[2] css_budapest,enl_hungary [2] eusn2023,css_budapest Top Replied-To in Entire Graph:
Top Replied-To in G3:
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Top Tweeters in Entire Graph:
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