The graph represents a network of 93 Twitter users whose recent tweets contained "#SocMedHE19", 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 Wednesday, 18 December 2019 at 00:13 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 39-minute period from Tuesday, 10 December 2019 at 09:30 UTC to Tuesday, 17 December 2019 at 21:09 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 : 93
Unique Edges : 245
Edges With Duplicates : 359
Total Edges : 604
Self-Loops : 28
Reciprocated Vertex Pair Ratio : 0.152823920265781
Reciprocated Edge Ratio : 0.265129682997118
Connected Components : 2
Single-Vertex Connected Components : 1
Maximum Vertices in a Connected Component : 92
Maximum Edges in a Connected Component : 603
Maximum Geodesic Distance (Diameter) : 5
Average Geodesic Distance : 2.354164
Graph Density : 0.0405563347358579
Modularity : 0.194763
NodeXL Version : 1.0.1.422
Data Import : The graph represents a network of 93 Twitter users whose recent tweets contained "#SocMedHE19", 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 Wednesday, 18 December 2019 at 00:13 UTC.
The tweets in the network were tweeted over the 7-day, 11-hour, 39-minute period from Tuesday, 10 December 2019 at 09:30 UTC to Tuesday, 17 December 2019 at 21:09 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 : TwitterSearch
Graph Term : #SocMedHE19
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[28] door,number [28] ed,vent [28] vent,countdown [28] countdown,calendar [28] #socmedhe19,19 [28] 19,dec [28] dec,2019 [28] here,link [28] link,open [28] open,door Top Word Pairs in Tweet in G1:
[7] t,wait [7] next,week [6] week,#socmedhe19 [5] suebecks,debbaff [5] socmedhe,#socmedhe19 [5] looking,forward [5] #socmedhe19,team [5] 3mm4g,socmedhe [4] wait,#socmedhe19 [4] learning,teaching Top Word Pairs in Tweet in G2:
[10] socmedhe,#socmedhe19 [6] next,week [6] attending,socmedhe [6] #socmedhe19,digitally [6] digitally,join [6] join,scottfarrow88 [6] scottfarrow88,10 [6] 10,11am [6] 11am,explore [6] explore,'building Top Word Pairs in Tweet in G3:
[8] suebecks,edgehill [8] edgehill,belld17 [8] destech2013,mrefinch [6] belld17,lindakkaye [6] lindakkaye,samtwiselton [6] samtwiselton,sfaulknerpando [6] sfaulknerpando,destech2013 [6] door,number [6] ed,vent [6] vent,countdown Top Word Pairs in Tweet in G4:
[8] next,week [7] social,media [6] sfaulknerpando,debbaff [5] suebecks,sfaulknerpando [4] looking,forward [4] week,#socmedhe19 [3] #socmedhe19,one [3] one,best [3] best,social [3] media,events Top Word Pairs in Tweet in G5:
[14] door,number [14] ed,vent [14] vent,countdown [14] countdown,calendar [14] #socmedhe19,19 [14] 19,dec [14] dec,2019 [14] here,link [14] link,open [14] open,door 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: