The graph represents a network of 43 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, 18 November 2022 at 07:16 UTC.
The requested start date was Friday, 18 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 59-day, 2-hour, 6-minute period from Sunday, 14 August 2022 at 17:16 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 : 43
Unique Edges : 42
Edges With Duplicates : 67
Total Edges : 109
Number of Edge Types : 5
Retweet : 29
MentionsInRetweet : 42
Tweet : 6
Mentions : 30
Replies to : 2
Self-Loops : 8
Reciprocated Vertex Pair Ratio : 0.0483870967741935
Reciprocated Edge Ratio : 0.0923076923076923
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 42
Maximum Edges in a Connected Component : 108
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.274221
Graph Density : 0.0359911406423034
Modularity : 0.303931
NodeXL Version : 1.0.1.507
Data Import : The graph represents a network of 43 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, 18 November 2022 at 07:16 UTC.
The requested start date was Friday, 18 November 2022 at 01:01 UTC and the maximum number of tweets (going backward in time) was 7,500.
The tweets in the network were tweeted over the 59-day, 2-hour, 6-minute period from Sunday, 14 August 2022 at 17:16 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:
[19] october,submit [19] participate,discussion [19] contribution,participate [19] submit,contribution [19] 'the,role [19] discussion,'the [19] deadline,21st [19] role,social [19] social,media [19] 21st,october Top Word Pairs in Tweet in G1:
[15] discussion,'the [15] social,media [15] 21st,october [15] participate,discussion [15] role,social [15] october,submit [15] submit,contribution [15] contribution,participate [15] 'the,role [15] deadline,21st Top Word Pairs in Tweet in G2:
[2] media,commu [2] discussion,'the [2] social,media [2] 21st,october [2] participate,discussion [2] socmedhe,#socmedhe [2] role,social [2] october,submit [2] socmedhe,deadline [2] submit,contribution Top Word Pairs in Tweet in G3:
[4] nature,using [4] using,#twitter [4] investigating,#socmedhe [4] sentiment,analysis [4] conference's,nature [4] #twitter,sentiment [3] nodexl,this0499154500 [3] work,insights [3] socmedhe,scottturneruon [3] analysis,great 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 G3:
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: