The graph represents a network of 281 Twitter users whose recent tweets contained "#smpc2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 10:46 UTC.
The tweets in the network were tweeted over the 759-day, 0-hour, 35-minute period from Friday, 05 February 2021 at 14:08 UTC to Monday, 06 March 2023 at 14:44 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 : 281
Unique Edges : 510
Edges With Duplicates : 6253
Total Edges : 6763
Number of Edge Types : 8
Retweet : 609
MentionsInRetweet : 3200
Mentions : 2735
Quote : 22
Tweet : 106
MentionsInQuote : 4
Replies to : 20
MentionsInReplyTo : 67
Self-Loops : 607
Reciprocated Vertex Pair Ratio : 0.140875133404482
Reciprocated Edge Ratio : 0.246959775491113
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 237
Maximum Edges in a Connected Component : 6571
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.089287
Graph Density : 0.0135866802236909
Modularity : 0.092492
NodeXL Version : 1.0.1.510
Data Import : The graph represents a network of 281 Twitter users whose recent tweets contained "#smpc2023", or who were replied to, mentioned, retweeted or quoted in those tweets, taken from a data set limited to a maximum of 5,000 tweets, tweeted between 3/26/2006 12:00:00 AM and 3/6/2023 5:00:36 PM. The network was obtained from Twitter on Tuesday, 07 March 2023 at 10:46 UTC.
The tweets in the network were tweeted over the 759-day, 0-hour, 35-minute period from Friday, 05 February 2021 at 14:08 UTC to Monday, 06 March 2023 at 14:44 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 : TwitterSearch2
Graph Term : #smpc2023
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:
[322] nodexl,jeremyhl [283] #smprofs,#prprofs [224] jeremyhl,nodexl [222] jeremyhl,michaelbathurst [217] top,hashtags [173] michaelbathurst,jeremyhl [136] jeremyhl,this0499154500 [136] hashtags,#smprofs [135] michaelbathurst,this0499154500 [134] #prprofs,#smle2022 Top Word Pairs in Tweet in G1:
[168] #smprofs,#prprofs [122] #smpc2023,#smle2022 [98] #smle2022,#smpc2023 [91] #smle2022,#smprofs [67] #smpc2023,#smprofs [56] social,media [39] #smpc2023,#smc2024 [31] tweet,network [30] network,data [30] ap,#smpc2023 Top Word Pairs in Tweet in G2:
[210] nodexl,jeremyhl [200] top,hashtags [155] jeremyhl,nodexl [140] jeremyhl,michaelbathurst [133] michaelbathurst,jeremyhl [125] hashtags,#smprofs [121] jeremyhl,this0499154500 [115] #smprofs,nodexl [109] #smprofs,#prprofs [105] #prprofs,#smle2022 Top Word Pairs in Tweet in G3:
[55] #smprofs,#smle2022 [55] #prprofs,#smprofs [55] #ff,#aejmc2021 [55] #aejmc21,#ff [55] #smle2022,#aejmc21 [52] #smc2021,#smpc2023 [52] #aejmc2021,#smc2021 [52] #smpc2023,dollar [51] dollar,pound [51] pound,euro Top Word Pairs in Tweet in G4:
[103] nodexl,jeremyhl [72] jeremyhl,michaelbathurst [69] jeremyhl,nodexl [51] michaelbathurst,this0499154500 [43] tweet,network [36] michaelbathurst,jeremyhl [33] network,data [32] michaelbathurst,thartman2u [29] this0499154500,thartman2u [26] docassar,jeremyhl Top Replied-To in Entire Graph:
Top Replied-To in G3:
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: