@pew, Twitter, 8/27/2022 5:16:55 PM, 280804


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@pew_2022-08-27_10-14-25.xlsx
@pew_2022-08-27_10-14-25.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
August 27, 2022
Short Description:
@pew via NodeXL https://bit.ly/3QTCXFx
@pew
@dwaynedrockton
@consumerbankers
@lalinepaull
@meilinneo
@sankalp70391349
@iloveyoutomi18
@selenam_glover
@edbookfest
@acaciathorns

Top hashtags:
#pod

Description:
Description
The graph represents a network of 17 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, 27 August 2022 at 17:14 UTC.

The requested start date was Saturday, 27 August 2022 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 5-day, 20-hour, 55-minute period from Tuesday, 16 August 2022 at 10:42 UTC to Monday, 22 August 2022 at 07:37 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


Overall Graph Metrics
Vertices : 17
Unique Edges : 17
Edges With Duplicates : 6
Total Edges : 23
Number of Edge Types : 4
Mentions : 19
Replies to : 2
Retweet : 1
MentionsInRetweet : 1
Self-Loops : 0
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 17
Maximum Edges in a Connected Component : 23
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.096886
Graph Density : 0.0735294117647059
Modularity : 0.39225
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 17 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, 27 August 2022 at 17:14 UTC.

The requested start date was Saturday, 27 August 2022 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 5-day, 20-hour, 55-minute period from Tuesday, 16 August 2022 at 10:42 UTC to Monday, 22 August 2022 at 07:37 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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top Domains
Top Domains in Tweet in Entire Graph:
[2] twitter.com
[2] youtube.com

Top Domains in Tweet in G1:
[1] youtube.com

Top Domains in Tweet in G2:
[1] twitter.com

Top Domains in Tweet in G3:
[1] twitter.com

Top Domains in Tweet in G4:
[1] youtube.com

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[1] pod



Top Hashtags in Tweet in G2:
[1] pod

Top Words
Top Word Pairs
Top Word Pairs in Tweet in Entire Graph:
[8] مركز,سبا
[8] سبا,زيارات
[8] زيارات,منزلية
[8] منزلية,و
[8] و,فندقية
[8] فندقية,24
[8] 24,ساعة
[8] ساعة,الدفع
[8] الدفع,عند
[8] عند,الوصول

Top Word Pairs in Tweet in G1:
[8] مركز,سبا
[8] سبا,زيارات
[8] زيارات,منزلية
[8] منزلية,و
[8] و,فندقية
[8] فندقية,24
[8] 24,ساعة
[8] ساعة,الدفع
[8] الدفع,عند
[8] عند,الوصول

Top Word Pairs in Tweet in G2:
[2] edbookfest,acaciathorns

Top Word Pairs in Tweet in G3:
[2] student,loans
[2] another,example
[2] example,bank
[2] bank,led
[2] led,overdraft
[2] overdraft,innovations
[2] innovations,introduced
[2] introduced,without
[2] without,regulatory
[2] regulatory,legislative

Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@cyuwa_oniwa
@youtube
@edbookfest
@acaciathorns
@msms9066
@iloveyoutomi18
@consumerbankers
@swag57371511
@thaxfactortx
@brotherglenglen

Top Tweeters in G1:
@cyuwa_oniwa
@msms9066
@iloveyoutomi18
@swag57371511
@thaxfactortx
@brotherglenglen
@selenam_glover
@pew

Top Tweeters in G2:
@edbookfest
@acaciathorns
@meilinneo
@lalinepaull

Top Tweeters in G3:
@consumerbankers
@billyriells
@sankalp70391349

Top Tweeters in G4:
@youtube
@dwaynedrockton