#SocMedHE, Twitter, 7/31/2020 6:24:17 AM, 231466


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#SocMedHE_2020-07-30_23-21-36.xlsx
#SocMedHE_2020-07-30_23-21-36.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
July 31, 2020
Short Description:
#SocMedHE via NodeXL https://bit.ly/39IiPB9
@sfaulknerpando
@belld17
@scottturneruon
@lindakkaye
@anortcliffe
@debbaff
@uninorthants
@canterburyccuni
@ghostwhowrites
@itprill

Top hashtags:
#socmedhe

Description:
Description
The graph represents a network of 15 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, 31 July 2020 at 06:21 UTC.

The requested start date was Friday, 31 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 52-day, 22-hour, 43-minute period from Monday, 11 May 2020 at 18:26 UTC to Friday, 03 July 2020 at 17:09 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 : 15
Unique Edges : 14
Edges With Duplicates : 2
Total Edges : 16
Number of Edge Types : 2
Mentions : 13
Replies to : 3
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 : 15
Maximum Edges in a Connected Component : 16
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.32
Graph Density : 0.0714285714285714
Modularity : 0.365234
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 15 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, 31 July 2020 at 06:21 UTC.

The requested start date was Friday, 31 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 52-day, 22-hour, 43-minute period from Monday, 11 May 2020 at 18:26 UTC to Friday, 03 July 2020 at 17:09 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:
[3] twitter.com

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

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



Top Hashtags in Tweet in G1:
[2] socmedhe

Top Hashtags in Tweet in G2:
[1] socmedhe

Top Words
Top Words in Tweet in Entire Graph:
[3] #socmedhe
[2] belld17
[2] debbaff
[2] suebecks

Top Words in Tweet in G1:
[2] debbaff
[2] #socmedhe
[2] suebecks

Top Word Pairs
Top Replied-To
Top Mentioned
Top Tweeters
Top Tweeters in Entire Graph:
@scottturneruon
@suebecks
@ghostwhowrites
@uninorthants
@lindakkaye
@sarah__wright1
@sfaulknerpando
@anortcliffe
@itprill
@canterburyccuni

Top Tweeters in G1:
@suebecks
@ghostwhowrites
@lindakkaye
@sarah__wright1
@sfaulknerpando
@itprill
@debbaff
@rachelleeobrien
@bantshireuni
@adanconf

Top Tweeters in G2:
@scottturneruon
@uninorthants
@anortcliffe
@canterburyccuni
@belld17