The graph represents a network of 28 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, 29 July 2022 at 06:16 UTC.
The requested start date was Friday, 29 July 2022 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 76-day, 21-hour, 23-minute period from Friday, 08 April 2022 at 12:43 UTC to Friday, 24 June 2022 at 10:06 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 : 28
Unique Edges : 27
Edges With Duplicates : 79
Total Edges : 106
Number of Edge Types : 5
Mentions : 77
Replies to : 7
MentionsInRetweet : 16
Retweet : 4
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.116279069767442
Reciprocated Edge Ratio : 0.208333333333333
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 27
Maximum Edges in a Connected Component : 106
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.145405
Graph Density : 0.0634920634920635
Modularity : 0.181604
NodeXL Version : 1.0.1.449
Data Import : The graph represents a network of 28 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, 29 July 2022 at 06:16 UTC.
The requested start date was Friday, 29 July 2022 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 76-day, 21-hour, 23-minute period from Friday, 08 April 2022 at 12:43 UTC to Friday, 24 June 2022 at 10:06 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:
[9] #socmedhe,nodexl [7] this0499154500,virnarossi [6] top,hashtags [6] hashtags,#socmedhe [6] #socmedhe,#lthechat [6] #socmedhe20,#advancehe_chat [5] #lthechat,#highered [5] #advancehe_chat,#altc [5] nomadwarmachine,scottturneruon [4] sfaulknerpando,belld17 Top Word Pairs in Tweet in G2:
[6] #socmedhe,nodexl [6] top,hashtags [6] hashtags,#socmedhe [6] #socmedhe20,#advancehe_chat [5] this0499154500,virnarossi [5] #socmedhe,#lthechat [5] #lthechat,#highered [5] #advancehe_chat,#altc [4] sfaulknerpando,belld17 [4] #highered,#socmedhe21 Top Word Pairs in Tweet in G3:
[2] #socmedhe,#socmedhe21 Top Word Pairs in Tweet in G4:
[2] kiusum,scottturneruon [2] scottturneruon,lthechat [2] lthechat,dr_cl_elliott Top Word Pairs in Tweet in G5:
[2] this0499154500,#socmedhe [2] #socmedhe,nodexl Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
Top Replied-To in G4:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6: