@pew, Twitter, 10/11/2020 1:07:50 AM, 237662


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@pew_2020-10-10_10-31-49.xlsx
@pew_2020-10-10_10-31-49.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 11, 2020
Short Description:
@pew via NodeXL https://bit.ly/3iHX9YY
@pew
@wef
@the_last_scion
@milena28985949
@abarnwal
@subtojovey
@jayvanbavel
@tomstrade_fxt
@indrajy91
@gullinkambi3

Top hashtags:
#trust
#scientists
#powerinyourvote
#getouttovote
#covid19
#automation
#futureofwork

Description:
Description
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


Overall Graph Metrics
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 Influencers: Top 10 Vertices, Ranked by Betweenness Centrality
Top URLs
Top URLs in Tweet in Entire Graph:
[52] 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
[27] 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=07/10/2020+21:00
[1] https://www.journalism.org/2020/10/07/before-trump-tested-positive-for-coronavirus-republicans-attention-to-pandemic-had-sharply-declined/?utm_content=buffer450f2&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://moinakon.blogspot.com/2020/10/on-09102020-i-must-get-freedom-my-dues.html?m=1
[1] https://www.pewresearch.org/politics/2020/09/14/americans-views-of-government-low-trust-but-some-positive-performance-ratings/
[1] https://www.pewtrusts.org/en/research-and-analysis/blogs/stateline/2020/09/28/mothers-are-3-times-more-likely-than-fathers-to-have-lost-jobs-in-pandemic

Top URLs in Tweet in G1:
[40] 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
[16] 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=07/10/2020+21:00
[1] https://moinakon.blogspot.com/2020/10/on-09102020-i-must-get-freedom-my-dues.html?m=1

Top URLs in Tweet in G2:
[12] 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
[10] 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=07/10/2020+21:00
[1] https://www.journalism.org/2020/10/07/before-trump-tested-positive-for-coronavirus-republicans-attention-to-pandemic-had-sharply-declined/?utm_content=buffer450f2&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://www.pewresearch.org/politics/2020/09/14/americans-views-of-government-low-trust-but-some-positive-performance-ratings/
[1] https://www.pewtrusts.org/en/research-and-analysis/blogs/stateline/2020/09/28/mothers-are-3-times-more-likely-than-fathers-to-have-lost-jobs-in-pandemic

Top URLs in Tweet in G5:
[1] 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=07/10/2020+21:00

Top Domains
Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[79] trust
[79] scientists
[1] powerinyourvote
[1] getouttovote
[1] covid19
[1] automation
[1] futureofwork
[1] artificialintelligence
[1] bigdata
[1] chatbots



Top Hashtags in Tweet in G1:
[56] trust
[56] scientists
[1] wakeup

Top Hashtags in Tweet in G2:
[22] trust
[22] scientists
[1] covid19
[1] powerinyourvote
[1] getouttovote
[1] automation
[1] futureofwork
[1] artificialintelligence
[1] bigdata
[1] chatbots

Top Hashtags in Tweet in G5:
[1] trust
[1] scientists

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@wef
@jayvanbavel
@gordonhodsonphd
@kity__js
@ugiyyrat
@pew
@ad31__
@gullinkambi3
@valankeshiva
@vuxxvuxx

Top Replied-To in G1:
@wef
@ad31__
@gullinkambi3
@valankeshiva

Top Replied-To in G2:
@jayvanbavel
@wef
@gordonhodsonphd
@kity__js
@ugiyyrat
@pew

Top Replied-To in G3:
@wef

Top Replied-To in G4:
@wef

Top Replied-To in G5:
@wef

Top Replied-To in G6:
@vuxxvuxx

Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@robre62
@dev_discourse
@aparanjape
@1967anil
@ohemaadufiegh
@makilingmiracle
@wef
@dtzb
@michaelbertakis
@socialheadliner

Top Tweeters in G1:
@robre62
@dev_discourse
@1967anil
@wef
@dtzb
@socialheadliner
@drtao
@mscarevalo
@laraequy
@homesatmetacoda

Top Tweeters in G2:
@ohemaadufiegh
@makilingmiracle
@michaelbertakis
@eee_eff
@mburns2009
@akmshooter
@duckaroo3
@sarakarnthi1
@kamarulbahrin
@li2miami

Top Tweeters in G3:
@aparanjape
@the_last_scion

Top Tweeters in G4:
@pmoindia
@abarnwal

Top Tweeters in G5:
@oatila
@milena28985949

Top Tweeters in G6:
@vuxxvuxx
@subtojovey