The graph represents a network of 121 Twitter users whose tweets in the requested range contained "@pew", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 October 2020 at 17:31 UTC.
The requested start date was Saturday, 10 October 2020 at 00:01 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 13-day, 2-hour, 41-minute period from Saturday, 26 September 2020 at 16:07 UTC to Friday, 09 October 2020 at 18:48 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 : 121
Unique Edges : 130
Edges With Duplicates : 218
Total Edges : 348
Number of Edge Types : 4
Retweet : 82
MentionsInRetweet : 164
Replies to : 37
Mentions : 65
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0.012987012987013
Reciprocated Edge Ratio : 0.0256410256410256
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 121
Maximum Edges in a Connected Component : 348
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.015983
Graph Density : 0.0161157024793388
Modularity : 0.181575
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 121 Twitter users whose tweets in the requested range contained "@pew", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 10 October 2020 at 17:31 UTC.
The requested start date was Saturday, 10 October 2020 at 00:01 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 13-day, 2-hour, 41-minute period from Saturday, 26 September 2020 at 16:07 UTC to Friday, 09 October 2020 at 18:48 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 : GraphServerTwitterSearch
Graph Term : @pew
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:
[79] citizens,countries [79] countries,#trust [79] #trust,#scientists [79] #scientists,pew [75] wef,citizens [25] wef,pew [15] jayvanbavel,pew [14] getting,information [13] pew,poll [13] poll,finds Top Word Pairs in Tweet in G1:
[56] citizens,countries [56] countries,#trust [56] #trust,#scientists [56] #scientists,pew [52] wef,citizens [18] wef,pew [3] pew,india [2] pew,wef [2] pew,looking [2] looking,grow Top Word Pairs in Tweet in G2:
[22] wef,citizens [22] citizens,countries [22] countries,#trust [22] #trust,#scientists [22] #scientists,pew [15] jayvanbavel,pew [14] getting,information [13] pew,poll [13] poll,finds [13] finds,90 Top Word Pairs in Tweet in G5:
[2] wef,pew 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 Replied-To in G5:
Top Replied-To in G6:
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 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: