The graph represents a network of 24 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, 19 August 2022 at 06:16 UTC.
The requested start date was Friday, 19 August 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 101-day, 21-hour, 21-minute period from Wednesday, 04 May 2022 at 19:55 UTC to Sunday, 14 August 2022 at 17:16 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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 : 24
Unique Edges : 24
Edges With Duplicates : 57
Total Edges : 81
Number of Edge Types : 5
Mentions : 63
MentionsInRetweet : 9
Retweet : 2
Replies to : 5
Tweet : 2
Self-Loops : 2
Reciprocated Vertex Pair Ratio : 0.111111111111111
Reciprocated Edge Ratio : 0.2
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 23
Maximum Edges in a Connected Component : 81
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 2.060491
Graph Density : 0.072463768115942
Modularity : 0.222908
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 24 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, 19 August 2022 at 06:16 UTC.
The requested start date was Friday, 19 August 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 101-day, 21-hour, 21-minute period from Wednesday, 04 May 2022 at 19:55 UTC to Sunday, 14 August 2022 at 17:16 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
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:
[7] #socmedhe,nodexl [6] this0499154500,virnarossi [6] #socmedhe,#lthechat [5] top,hashtags [5] hashtags,#socmedhe [5] #socmedhe20,#advancehe_chat [5] nomadwarmachine,scottturneruon [4] scottturneruon,socmedhe [4] socmedhe,this0499154500 [4] sfaulknerpando,belld17 Top Word Pairs in Tweet in G1:
[5] #socmedhe,nodexl [5] top,hashtags [5] hashtags,#socmedhe [5] #socmedhe,#lthechat [5] #socmedhe20,#advancehe_chat [4] this0499154500,virnarossi [4] sfaulknerpando,belld17 [4] #advancehe_chat,#altc [3] scottturneruon,socmedhe [3] socmedhe,this0499154500 Top Word Pairs in Tweet in G2:
[2] this0499154500,#socmedhe [2] #socmedhe,nodexl [2] nomadwarmachine,scottturneruon [2] this0499154500,virnarossi [2] kiusum,scottturneruon [2] scottturneruon,lthechat [2] lthechat,dr_cl_elliott Top Word Pairs in Tweet in G3:
[2] #socmedhe,#socmedhe21 Top Replied-To in Entire Graph:
Top Replied-To in G2:
Top Replied-To in G3:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: