The graph represents a network of 21 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 September 2022 at 06:16 UTC.
The requested start date was Friday, 16 September 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 94-day, 22-hour, 9-minute period from Friday, 03 June 2022 at 10:59 UTC to Tuesday, 06 September 2022 at 09:08 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 : 21
Unique Edges : 22
Edges With Duplicates : 50
Total Edges : 72
Number of Edge Types : 5
Mentions : 45
MentionsInRetweet : 15
Retweet : 7
Replies to : 1
Tweet : 4
Self-Loops : 5
Reciprocated Vertex Pair Ratio : 0.0882352941176471
Reciprocated Edge Ratio : 0.162162162162162
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 21
Maximum Edges in a Connected Component : 72
Maximum Geodesic Distance (Diameter) : 3
Average Geodesic Distance : 1.854875
Graph Density : 0.0880952380952381
Modularity : 0.211709
NodeXL Version : 1.0.1.504
Data Import : The graph represents a network of 21 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 September 2022 at 06:16 UTC.
The requested start date was Friday, 16 September 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 94-day, 22-hour, 9-minute period from Friday, 03 June 2022 at 10:59 UTC to Tuesday, 06 September 2022 at 09:08 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:
[7] #socmedhe,nodexl [4] top,hashtags [4] hashtags,#socmedhe [4] #socmedhe,#lthechat [4] #socmedhe20,#advancehe_chat [4] this0499154500,virnarossi [4] investigating,#socmedhe [4] conference's,nature [4] nature,using [4] using,#twitter Top Word Pairs in Tweet in G1:
[5] #socmedhe,nodexl [4] top,hashtags [4] hashtags,#socmedhe [4] #socmedhe,#lthechat [4] #socmedhe20,#advancehe_chat [3] #lthechat,#socmedhe21 [3] #socmedhe21,#highered [3] #highered,#socmedhe20 [3] #advancehe_chat,#altc [3] this0499154500,virnarossi Top Word Pairs in Tweet in G2:
[4] investigating,#socmedhe [4] conference's,nature [4] nature,using [4] using,#twitter [4] #twitter,sentiment [4] sentiment,analysis [3] #socmedhe,conference's [3] analysis,great [3] great,work [3] work,insights Top Word Pairs in Tweet in G3:
[3] check,#lthechat [3] #lthechat,#creativehe [3] #creativehe,socmedhe [3] socmedhe,#socmedhe [2] nomadwarmachine,check Top Replied-To in Entire Graph:
Top Replied-To in G2:
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: