The graph represents a network of 39 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 Saturday, 21 November 2020 at 07:20 UTC.
The requested start date was Friday, 20 November 2020 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 76-day, 17-hour, 3-minute period from Thursday, 03 September 2020 at 21:57 UTC to Thursday, 19 November 2020 at 15:00 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 : 39
Unique Edges : 14
Edges With Duplicates : 68
Total Edges : 82
Number of Edge Types : 5
Retweet : 29
MentionsInRetweet : 29
Tweet : 7
Mentions : 16
Replies to : 1
Self-Loops : 7
Reciprocated Vertex Pair Ratio : 0.0256410256410256
Reciprocated Edge Ratio : 0.05
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 39
Maximum Edges in a Connected Component : 82
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.811308
Graph Density : 0.0269905533063428
Modularity : 0.370278
NodeXL Version : 1.0.1.441
Data Import : The graph represents a network of 39 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 Saturday, 21 November 2020 at 07:20 UTC.
The requested start date was Friday, 20 November 2020 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 76-day, 17-hour, 3-minute period from Thursday, 03 September 2020 at 21:57 UTC to Thursday, 19 November 2020 at 15:00 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:
[26] #socmedhe,#socmedhe20 [16] hello,#socmedhe [15] #socmedhe20,#lthechat [15] #lthechat,#altc [15] #altc,we've [15] we've,few [15] few,requests [15] requests,extensions [15] extensions,submission [15] submission,deadline Top Word Pairs in Tweet in G1:
[22] #socmedhe,#socmedhe20 [13] hello,#socmedhe [13] #socmedhe20,#lthechat [13] #lthechat,#altc [13] #altc,we've [13] we've,few [13] few,requests [13] requests,extensions [13] extensions,submission [13] submission,deadline Top Word Pairs in Tweet in G2:
[2] hello,#socmedhe [2] #socmedhe,#socmedhe20 [2] special,issue Top Word Pairs in Tweet in G3:
[10] special,issue [5] cfp,call [5] call,papers [5] papers,special [5] issue,26 [5] 26,spring [5] spring,2021 [5] 2021,deadline [5] deadline,articles [5] articles,september Top Word Pairs in Tweet in G4:
[2] very,excited [2] excited,share [2] share,freshly [2] freshly,published [2] published,paper [2] paper,experiences [2] experiences,perspectives [2] perspectives,social [2] social,media [2] media,learning 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 Mentioned in G4:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4: