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
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 Domains
Top Word Pairs in Tweet in Entire Graph:
[12] special,issue [6] cfp,call [6] call,papers [6] papers,special [6] issue,26 [6] 26,spring [6] spring,2021 [6] 2021,deadline [6] deadline,articles [6] articles,september Top Word Pairs in Tweet in G1:
[12] special,issue [6] cfp,call [6] call,papers [6] papers,special [6] issue,26 [6] 26,spring [6] spring,2021 [6] 2021,deadline [6] deadline,articles [6] articles,september Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3: