The graph represents a network of 58 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, 08 February 2020 at 06:30 UTC.
The requested start date was Saturday, 08 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 59-day, 11-hour, 13-minute period from Sunday, 01 December 2019 at 11:29 UTC to Wednesday, 29 January 2020 at 22:42 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 : 58
Unique Edges : 155
Edges With Duplicates : 141
Total Edges : 296
Number of Edge Types : 4
Replies to : 7
Tweet : 14
Mentions : 65
MentionsInRetweet : 210
Self-Loops : 14
Reciprocated Vertex Pair Ratio : 0.127906976744186
Reciprocated Edge Ratio : 0.22680412371134
Connected Components : 1
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 58
Maximum Edges in a Connected Component : 296
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.43044
Graph Density : 0.058681185722928
Modularity : 0.252811
NodeXL Version : 1.0.1.423
Data Import : The graph represents a network of 58 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, 08 February 2020 at 06:30 UTC.
The requested start date was Saturday, 08 February 2020 at 01:01 UTC and the maximum number of tweets (going backward in time) was 5,000.
The tweets in the network were tweeted over the 59-day, 11-hour, 13-minute period from Sunday, 01 December 2019 at 11:29 UTC to Wednesday, 29 January 2020 at 22:42 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:
[28] #socmedhe19,#socmedhe [27] social,media [14] day,#socmedhe19 [13] #socmedhe19,conference [12] scottturneruon,#socmedhe19 [12] analyse,social [12] media,well [12] well,twitter [12] conference,tweets [12] tweets,using Top Word Pairs in Tweet in G1:
[9] social,media [9] #socmedhe19,#socmedhe [7] scottturneruon,#socmedhe [7] #socmedhe,nodexl [7] nodexl,socmedhe [7] socmedhe,scottturneruon [7] scottturneruon,suebecks [7] suebecks,edgehill [7] edgehill,belld17 [7] belld17,lindakkaye Top Word Pairs in Tweet in G2:
[17] #socmedhe19,#socmedhe [14] social,media [7] #socmedhe19,conference [6] analyse,social [6] media,well [6] well,twitter [6] day,#socmedhe19 [6] conference,tweets [6] tweets,using [6] using,#socmedhe19 Top Word Pairs in Tweet in G3:
[3] day,#socmedhe19 [2] social,media [2] media,lego [2] lego,serious [2] serious,play [2] play,better [2] better,way [2] way,continue [2] continue,day [2] #socmedhe19,#lego Top Word Pairs in Tweet in G4:
[3] ed,already [3] already,using [3] using,augmented [3] augmented,reality [3] reality,waiting [3] waiting,find [3] find,#socmedhe [3] #socmedhe,create [2] thanks,belld17 [2] belld17,sarah__wright1 Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
Top Replied-To in G3:
Top Replied-To in G4:
Top Replied-To in G5:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
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: