The graph represents a network of 72 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, 30 November 2019 at 06:28 UTC.
The requested start date was Saturday, 30 November 2019 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 83-day, 12-hour, 1-minute period from Friday, 06 September 2019 at 19:32 UTC to Friday, 29 November 2019 at 07:33 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 : 72
Unique Edges : 113
Edges With Duplicates : 96
Total Edges : 209
Number of Edge Types : 3
Replies to : 13
Mentions : 179
Tweet : 17
Self-Loops : 17
Reciprocated Vertex Pair Ratio : 0.0852713178294574
Reciprocated Edge Ratio : 0.157142857142857
Connected Components : 2
Single-Vertex Connected Components : 0
Maximum Vertices in a Connected Component : 70
Maximum Edges in a Connected Component : 207
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.529772
Graph Density : 0.0273865414710485
Modularity : 0.375833
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 72 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, 30 November 2019 at 06:28 UTC.
The requested start date was Saturday, 30 November 2019 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 83-day, 12-hour, 1-minute period from Friday, 06 September 2019 at 19:32 UTC to Friday, 29 November 2019 at 07:33 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:
[53] #socmedhe19,#socmedhe [46] social,media [43] media,learning [39] learning,higher [39] higher,education [38] socmedhe,call [37] call,papers [37] papers,posters [37] posters,workshops [37] workshops,social Top Word Pairs in Tweet in G1:
[35] #socmedhe19,#socmedhe [29] social,media [28] media,learning [28] socmedhe,call [27] call,papers [27] papers,posters [27] posters,workshops [27] workshops,social [27] learning,higher [27] higher,education Top Word Pairs in Tweet in G2:
[4] watch,one [4] one,video [4] video,today [4] today,make [4] make,one [4] one,strathbiomedeng [4] strathbiomedeng,students [4] students,#lthechat [4] #lthechat,#altc [4] #socmedhe19,#socmedhe Top Word Pairs in Tweet in G3:
[13] social,media [13] #socmedhe19,#socmedhe [12] 19th,december [12] media,learning [9] december,2019 [9] learning,higher [9] higher,education [7] call,papers [7] papers,posters [7] posters,workshops Top Word Pairs in Tweet in G4:
[2] a3,taking [2] taking,opportunity [2] opportunity,name [2] name,drop [2] drop,raisenetwork [2] raisenetwork,sehej_raise [2] sehej_raise,#raise20 [2] #raise20,next [2] next,years [2] years,conference Top Word Pairs in Tweet in G6:
[2] several,#socmedhe [2] #socmedhe,conferences [2] conferences,recommend [2] recommend,#leedsdiged 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 Mentioned in G6:
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:
Top Tweeters in G6: