The graph represents a network of 64 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 03:14 UTC.
The requested start date was Thursday, 01 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 5-hour, 15-minute period from Thursday, 17 November 2022 at 13:50 UTC to Tuesday, 29 November 2022 at 19:06 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 : 64
Unique Edges : 39
Edges With Duplicates : 104
Total Edges : 143
Number of Edge Types : 5
Replies to : 5
Mentions : 38
Retweet : 47
Tweet : 8
MentionsInRetweet : 45
Self-Loops : 12
Reciprocated Vertex Pair Ratio : 0.0285714285714286
Reciprocated Edge Ratio : 0.0555555555555556
Connected Components : 7
Single-Vertex Connected Components : 3
Maximum Vertices in a Connected Component : 53
Maximum Edges in a Connected Component : 123
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.371207
Graph Density : 0.0178571428571429
Modularity : 0.36234
NodeXL Version : 1.0.1.508
Data Import : The graph represents a network of 64 Twitter users whose tweets in the requested range contained "lrainie", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Thursday, 01 December 2022 at 03:14 UTC.
The requested start date was Thursday, 01 December 2022 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 12-day, 5-hour, 15-minute period from Thursday, 17 November 2022 at 13:50 UTC to Tuesday, 29 November 2022 at 19:06 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 : GraphServerTwitterSearch
Graph Term : lrainie
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:
[35] social,media [18] media,users [14] something,seeing [14] purchased,something [14] seeing,influencer [12] follow,influencers [12] influencers,30 [12] 30,purchased [12] users,follow [12] 40,social Top Word Pairs in Tweet in G1:
[24] social,media [17] media,users [14] seeing,influencer [14] purchased,something [14] something,seeing [12] influencers,30 [12] 40,social [12] users,follow [12] follow,influencers [12] 30,purchased Top Word Pairs in Tweet in G3:
[8] social,media [6] tech,policy [6] kids,teens [6] panics,touch [6] policy,discussions [6] teens,social [6] having,little [6] discussions,kids [6] media,rampant [6] pols,having Top Word Pairs in Tweet in G5:
[3] addicted,social [3] re,addicted [3] media,re [3] addicted,socializing [3] social,media [3] aren,addicted [3] kids,aren [2] pessimistsarc,kids Top Word Pairs in Tweet in G6:
[3] policy,influencers [3] foreign,policy [3] leading,foreign [2] doorsteppodcast,leading Top Word Pairs in Tweet in G7:
[5] vulnerable,influencers [5] influencers,lot [5] lot,high [5] young,adults [5] adults,vulnerable [5] generalizable,clearly [5] clearly,young [4] jerrybuchko,generalizable [4] high,prof [3] desktop,laptop Top Word Pairs in Tweet in G8:
[2] point,read [2] become,available [2] reports,become [2] read,pew [2] make,point [2] pew,reports Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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 Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
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:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8: