The graph represents a network of 46 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, 14 October 2022 at 06:16 UTC.
The requested start date was Friday, 14 October 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 74-day, 23-hour, 47-minute period from Friday, 29 July 2022 at 19:36 UTC to Wednesday, 12 October 2022 at 19:23 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 : 46
Unique Edges : 45
Edges With Duplicates : 68
Total Edges : 113
Number of Edge Types : 5
Replies to : 2
Retweet : 26
MentionsInRetweet : 40
Mentions : 39
Tweet : 6
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.0454545454545455
Reciprocated Edge Ratio : 0.0869565217391304
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 45
Maximum Edges in a Connected Component : 112
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.33465
Graph Density : 0.0333333333333333
Modularity : 0.316998
NodeXL Version : 1.0.1.506
Data Import : The graph represents a network of 46 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, 14 October 2022 at 06:16 UTC.
The requested start date was Friday, 14 October 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 74-day, 23-hour, 47-minute period from Friday, 29 July 2022 at 19:36 UTC to Wednesday, 12 October 2022 at 19:23 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:
[16] october,submit [16] participate,discussion [16] contribution,participate [16] submit,contribution [16] 'the,role [16] discussion,'the [16] deadline,21st [16] role,social [16] social,media [16] 21st,october Top Word Pairs in Tweet in G1:
[12] 21st,october [12] participate,discussion [12] role,social [12] deadline,21st [12] submit,contribution [12] october,submit [12] social,media [12] discussion,'the [12] 'the,role [12] contribution,participate Top Word Pairs in Tweet in G2:
[4] nature,using [4] using,#twitter [4] investigating,#socmedhe [4] sentiment,analysis [4] #socmedhe,nodexl [4] conference's,nature [4] #twitter,sentiment [3] nodexl,this0499154500 [3] work,insights [3] socmedhe,scottturneruon Top Word Pairs in Tweet in G3:
[2] socmedhe,deadline [2] 21st,october [2] media,commu [2] participate,discussion [2] role,social [2] deadline,21st [2] submit,contribution [2] #creativehe,socmedhe [2] check,#lthechat [2] october,submit Top Word Pairs in Tweet in G4:
[3] spaces,left [3] tomorrow,tuesday [3] still,few [3] welcome,#lthechat [3] left,tomorrow [3] #socmedhe,#socmedhe22 [3] 1pm,welcome [3] few,spaces [3] #lthechat,#socmedhe [3] tuesday,1pm Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5: