#SocMedHE, Twitter, 7/3/2020 7:34:31 AM, 230165


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#SocMedHE_2020-07-02_23-21-36.xlsx
#SocMedHE_2020-07-02_23-21-36.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 03, 2020
Short Description:
#SocMedHE via NodeXL https://bit.ly/2Ap9d11
@sfaulknerpando
@rachelleeobrien
@suebecks
@sarah__wright1
@debbaff
@lindakkaye
@belld17
@bantshireuni
@scottturneruon
@itprill

Top hashtags:
#socmedhe

Description:
Description
The graph represents a network of 12 Twitter users whose tweets in the requested range contained "#SocMedHE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 06:21 UTC.

The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 57-day, 22-hour, 34-minute period from Wednesday, 22 April 2020 at 19:20 UTC to Friday, 19 June 2020 at 17:55 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 : 12
Unique Edges : 11
Edges With Duplicates : 2
Total Edges : 13
Number of Edge Types : 3
Mentions : 10
Replies to : 2
Tweet : 1
Self-Loops : 1
Reciprocated Vertex Pair Ratio : 0
Reciprocated Edge Ratio : 0
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 11
Maximum Edges in a Connected Component : 12
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.622951
Graph Density : 0.0833333333333333
Modularity : 0.226331
NodeXL Version : 1.0.1.437
Data Import : The graph represents a network of 12 Twitter users whose tweets in the requested range contained "#SocMedHE", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 03 July 2020 at 06:21 UTC.

The requested start date was Friday, 03 July 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 5,000.

The tweets in the network were tweeted over the 57-day, 22-hour, 34-minute period from Wednesday, 22 April 2020 at 19:20 UTC to Friday, 19 June 2020 at 17:55 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 : #SocMedHE
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:
[4] twitter.com
[1] plickers.com

Top Domains in Tweet in G1:
[2] twitter.com

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

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[2] socmedhe



Top Hashtags in Tweet in G1:
[1] socmedhe

Top Hashtags in Tweet in G2:
[1] socmedhe

Top Words
Top Words in Tweet in Entire Graph:
[2] debbaff
[2] #socmedhe
[2] suebecks

Top Words in Tweet in G1:
[2] suebecks

Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters

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