#SocMedHE, Twitter, 10/16/2020 8:17:54 AM, 238072


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#SocMedHE_2020-10-15_23-19-53.xlsx
#SocMedHE_2020-10-15_23-19-53.xlsx
From:
NodeXLExcelAutomator
Uploaded on:
October 16, 2020
Short Description:
#SocMedHE via NodeXL https://bit.ly/342OBHZ
@scottturneruon
@niall_barr
@cuthbert_kate
@suebecks
@chrissinerantzi
@socmedhe
@mccormacklpool
@davidwooff
@dralisonpurvis
@katevideo

Top hashtags:
#socmedhe
#lthechat
#socmedhe20
#socialmediainhe

Description:
Description
The graph represents a network of 11 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, 16 October 2020 at 06:19 UTC.

The requested start date was Friday, 16 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 63-day, 5-hour, 8-minute period from Tuesday, 11 August 2020 at 08:51 UTC to Tuesday, 13 October 2020 at 13:59 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 : 11
Unique Edges : 2
Edges With Duplicates : 18
Total Edges : 20
Number of Edge Types : 5
Mentions : 6
Retweet : 5
MentionsInRetweet : 5
Tweet : 3
Replies to : 1
Self-Loops : 3
Reciprocated Vertex Pair Ratio : 0.125
Reciprocated Edge Ratio : 0.222222222222222
Connected Components : 3
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 8
Maximum Edges in a Connected Component : 18
Maximum Geodesic Distance (Diameter) : 2
Average Geodesic Distance : 1.449275
Graph Density : 0.0818181818181818
Modularity : 0.30625
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 11 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, 16 October 2020 at 06:19 UTC.

The requested start date was Friday, 16 October 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500.

The tweets in the network were tweeted over the 63-day, 5-hour, 8-minute period from Tuesday, 11 August 2020 at 08:51 UTC to Tuesday, 13 October 2020 at 13:59 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 URLs in Tweet in Entire Graph:
[2] https://www.strath.ac.uk/humanities/psychologicalscienceshealth/socialmediaconference/callsforpanelspapersubmissions/?utm_content=buffer25a0c&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://ojs.uv.es/index.php/realia/announcement/view/254?utm_content=bufferd0810&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://ojs.uv.es/index.php/realia/announcement/view/254
[1] https://twitter.com/REALIA10174486/status/1315959518770147328
[1] https://twitter.com/i/web/status/1293107647147843585

Top URLs in Tweet in G1:
[2] https://www.strath.ac.uk/humanities/psychologicalscienceshealth/socialmediaconference/callsforpanelspapersubmissions/?utm_content=buffer25a0c&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://ojs.uv.es/index.php/realia/announcement/view/254?utm_content=bufferd0810&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
[1] https://twitter.com/REALIA10174486/status/1315959518770147328
[1] https://ojs.uv.es/index.php/realia/announcement/view/254

Top URLs in Tweet in G2:
[1] https://twitter.com/i/web/status/1293107647147843585

Top Domains
Top Domains in Tweet in Entire Graph:
[2] uv.es
[2] ac.uk
[2] twitter.com

Top Domains in Tweet in G1:
[2] uv.es
[2] ac.uk
[1] twitter.com

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

Top Hashtags
Top Hashtags in Tweet in Entire Graph:
[7] socmedhe
[3] lthechat
[3] socmedhe20
[1] socialmediainhe



Top Hashtags in Tweet in G1:
[5] socmedhe
[3] lthechat
[3] socmedhe20

Top Hashtags in Tweet in G2:
[1] socmedhe

Top Hashtags in Tweet in G3:
[1] socialmediainhe
[1] socmedhe

Top Words
Top Word Pairs
Top Replied-To
Top Replied-To in Entire Graph:
@mccormacklpool

Top Replied-To in G2:
@mccormacklpool

Top Mentioned
Top Tweeters