@pew, Twitter, 11/30/2020 12:55:02 AM, 242405


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@pew_2020-11-29_09-58-25.xlsx
@pew_2020-11-29_09-58-25.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
November 30, 2020
Short Description:
@pew via NodeXL https://bit.ly/2ViOW42
@pew
@itskimvillalon
@snpsandsnrnps
@candytech1
@cioconnection
@_dudinhaaaaa___
@unlockbiz
@mikequindazzi
@antgrasso
@fisher85m

Top hashtags:
#trust
#scientists
#fortnite

Description:
Description
The graph represents a network of 24 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 Sunday, 29 November 2020 at 17:58 UTC.

The requested start date was Saturday, 28 November 2020 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 10-day, 21-hour, 11-minute period from Monday, 16 November 2020 at 20:49 UTC to Friday, 27 November 2020 at 18:01 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 : 24
Unique Edges : 26
Edges With Duplicates : 14
Total Edges : 40
Number of Edge Types : 4
Retweet : 1
MentionsInRetweet : 5
Mentions : 28
Replies to : 6
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 : 24
Maximum Edges in a Connected Component : 40
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.635417
Graph Density : 0.0561594202898551
Modularity : 0.466875
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 24 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 Sunday, 29 November 2020 at 17:58 UTC.

The requested start date was Saturday, 28 November 2020 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 10-day, 21-hour, 11-minute period from Monday, 16 November 2020 at 20:49 UTC to Friday, 27 November 2020 at 18:01 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 URLs in Tweet in Entire Graph:
[2] https://www.weforum.org/agenda/2020/10/trust-science-india-pew-research-center?utm_source=twitter&utm_medium=social_scheduler&utm_term=Precision+Medicine&utm_content=09/10/2020+04:00
[1] https://twitter.com/rdispatches/status/1331282736288567296
[1] https://www.buffablog.com/pew-docks/
[1] https://twitter.com/FacebooksTop10/status/1328361400675168256?s=19
[1] https://www.journalism.org/2020/07/30/americans-who-mainly-get-their-news-on-social-media-are-less-engaged-less-knowledgeable/

Top URLs in Tweet in G1:
[2] https://www.weforum.org/agenda/2020/10/trust-science-india-pew-research-center?utm_source=twitter&utm_medium=social_scheduler&utm_term=Precision+Medicine&utm_content=09/10/2020+04:00

Top URLs in Tweet in G3:
[1] https://twitter.com/rdispatches/status/1331282736288567296
[1] https://www.buffablog.com/pew-docks/

Top URLs in Tweet in G4:
[1] https://twitter.com/FacebooksTop10/status/1328361400675168256?s=19
[1] https://www.journalism.org/2020/07/30/americans-who-mainly-get-their-news-on-social-media-are-less-engaged-less-knowledgeable/

Top Domains
Top Domains in Tweet in Entire Graph:
[2] weforum.org
[2] twitter.com
[1] buffablog.com
[1] journalism.org

Top Domains in Tweet in G1:
[2] weforum.org

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

Top Domains in Tweet in G4:
[1] twitter.com
[1] journalism.org

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[3] trust
[3] scientists
[1] fortnite



Top Hashtags in Tweet in G1:
[3] trust
[3] scientists

Top Hashtags in Tweet in G3:
[1] fortnite

Top Words
Top Word Pairs
Top Replied-To
Top Mentioned
Top Mentioned in Entire Graph:
@pew
@mikequindazzi
@antgrasso
@fisher85m
@peterhamby
@jaketapper
@wef
@candytech1
@preciousaranas_
@prxciiovs_

Top Mentioned in G1:
@mikequindazzi
@antgrasso
@fisher85m
@pew
@wef
@candytech1

Top Mentioned in G2:
@pew
@preciousaranas_
@prxciiovs_
@qqwwyynnccyy
@avymartinez1
@yellowhoodie4

Top Mentioned in G3:
@pew

Top Mentioned in G4:
@peterhamby
@jaketapper
@pew

Top Tweeters
Top Tweeters in Entire Graph:
@jaketapper
@jm_rives
@wef
@mikequindazzi
@antgrasso
@fisher85m
@cioconnection
@peterhamby
@candytech1
@unlockbiz

Top Tweeters in G1:
@wef
@mikequindazzi
@antgrasso
@fisher85m
@cioconnection
@candytech1
@unlockbiz

Top Tweeters in G2:
@jjungkoookiiie
@preciousaranas_
@avymartinez1
@itskimvillalon
@qqwwyynnccyy
@yellowhoodie4
@prxciiovs_

Top Tweeters in G3:
@jm_rives
@buffablog
@je0nsclub
@pew
@krzszzz
@_dudinhaaaaa___

Top Tweeters in G4:
@jaketapper
@peterhamby
@williamhrubin
@snpsandsnrnps