The graph represents a network of 139 Twitter users whose recent tweets contained "#LTHEchat #AdvanceHE_chat", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 30 April 2020 at 10:55 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 29-minute period from Wednesday, 22 April 2020 at 20:05 UTC to Thursday, 30 April 2020 at 09:34 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 : 139
Unique Edges : 349
Edges With Duplicates : 1847
Total Edges : 2196
Number of Edge Types : 5
Retweet : 183
Replies to : 590
Mentions : 1158
MentionsInRetweet : 107
Tweet : 158
Self-Loops : 161
Reciprocated Vertex Pair Ratio : 0.166340508806262
Reciprocated Edge Ratio : 0.285234899328859
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 138
Maximum Edges in a Connected Component : 2195
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.529063
Graph Density : 0.0310707955374831
Modularity : 0.130774
NodeXL Version : 1.0.1.432
Data Import : The graph represents a network of 139 Twitter users whose recent tweets contained "#LTHEchat #AdvanceHE_chat", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 30 April 2020 at 10:55 UTC.
The tweets in the network were tweeted over the 7-day, 13-hour, 29-minute period from Wednesday, 22 April 2020 at 20:05 UTC to Thursday, 30 April 2020 at 09:34 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 : TwitterSearch
Graph Term : #LTHEchat #AdvanceHE_chat
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 : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[396] #lthechat,#advancehe_chat [242] #advancehe_chat,#lthechat [51] advancehe_chat,lthechat [37] advancehe_chat,advance [28] a_l_t,seda_uk_ [28] suebecks,advancehe_chat [26] baleap,ucisa [25] advancehe,a_l_t [25] seda_uk_,baleap [24] ucisa,aldinhe_lh Top Word Pairs in Tweet in G1:
[86] #lthechat,#advancehe_chat [19] #advancehe_chat,#lthechat [10] students,staff [10] learning,teaching [8] advancehe_chat,a3 [8] advancehe_chat,lthechat [7] advancehe_chat,a5 [7] q4,strategies [7] strategies,ensuring [7] ensuring,students Top Word Pairs in Tweet in G2:
[130] #advancehe_chat,#lthechat [74] #lthechat,#advancehe_chat [19] suebecks,advancehe_chat [17] advancehe_chat,lthechat [11] santanuvasant,suebecks [10] think,need [9] niall_barr,advancehe_chat [8] x,1 [8] 1,hour [7] nomadwarmachine,advancehe_chat Top Word Pairs in Tweet in G3:
[68] #advancehe_chat,#lthechat [63] #lthechat,#advancehe_chat [28] a_l_t,seda_uk_ [26] baleap,ucisa [25] advancehe,a_l_t [25] seda_uk_,baleap [24] ucisa,aldinhe_lh [21] horrocks_simon,advancehe [18] chrissinerantzi,horrocks_simon [16] chrissinerantzi,advancehe Top Word Pairs in Tweet in G4:
[135] #lthechat,#advancehe_chat [23] #advancehe_chat,#lthechat [22] advancehe_chat,lthechat [16] advancehe_chat,advance [11] advancehe_chat,a3 [9] advancehe_chat,a5 [9] don,t [8] advancehe_chat,a2 [7] staff,students [7] advance,a6 Top Word Pairs in Tweet in G5:
[37] #lthechat,#advancehe_chat [12] synchronous,sessions [7] group,cohesion [6] sessions,disadvantages [6] disadvantages,done [6] done,well [6] well,contribute [6] contribute,group [6] cohesion,belonging [6] belonging,motivation 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:
Top Tweeters in G6: