The graph represents a network of 213 Twitter users whose recent tweets contained "#WCET19", 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, 07 November 2019 at 00:19 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 5-minute period from Tuesday, 29 October 2019 at 17:02 UTC to Thursday, 07 November 2019 at 00:07 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 : 213
Unique Edges : 435
Edges With Duplicates : 631
Total Edges : 1066
Self-Loops : 193
Reciprocated Vertex Pair Ratio : 0.100790513833992
Reciprocated Edge Ratio : 0.183123877917415
Connected Components : 12
Single-Vertex Connected Components : 4
Maximum Vertices in a Connected Component : 187
Maximum Edges in a Connected Component : 1038
Maximum Geodesic Distance (Diameter) : 6
Average Geodesic Distance : 2.770047
Graph Density : 0.012335016387634
Modularity : 0.289729
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 213 Twitter users whose recent tweets contained "#WCET19", 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, 07 November 2019 at 00:19 UTC.
The tweets in the network were tweeted over the 8-day, 7-hour, 5-minute period from Tuesday, 29 October 2019 at 17:02 UTC to Thursday, 07 November 2019 at 00:07 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 : #WCET19
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:
[35] check,out [30] long,term [27] higher,education [19] #wcet19,wcet_info [19] human,centered [17] #wcet19,#wcetpower [16] wcet_info,#wcet19 [16] diane,auer [16] auer,jones [15] support,#wcet19 Top Word Pairs in Tweet in G1:
[12] long,term [11] higher,education [11] diane,auer [11] auer,jones [11] skills,employers [11] employers,require [11] require,entry [11] entry,level [11] level,employees [11] empower,students Top Word Pairs in Tweet in G2:
[6] student,success [6] higher,education [6] #wcetbadges,#wcet19 [6] #wcet19,open [6] open,recognition [6] recognition,alliance [6] alliance,working [6] working,microcreds [6] microcreds,credengine [6] credengine,working Top Word Pairs in Tweet in G3:
[14] check,out [5] michaelwellison,#wcet19 [5] #wcet19,wcet_info [5] questions,#adaptivelearning [5] adaptivechat,pattiosullivan [4] #wcet19,codepath [4] don,t [4] #wcet19,#wcetpower [4] #wcetskillsgap,#wcet19 [4] wcet_info,#wcet19 Top Word Pairs in Tweet in G4:
[12] long,term [9] instructor,study [8] ecresearchunit,#wcet19 [7] teach,online [7] sharing,caring [7] caring,idesignedu [7] idesignedu,created [7] created,idea [7] idea,book [7] book,oer Top Word Pairs in Tweet in G5:
[5] higher,education [4] learning,platforms [3] support,#wcet19 [3] #wcet19,found [3] found,myself [3] myself,sharing [3] sharing,lot [3] lot,today [3] today,here's [3] here's,link Top Word Pairs in Tweet in G6:
[4] higher,ed [4] #askingforafriend,#wcet19 [4] #negreg,#wcet19 [4] diane,auer [4] auer,jones [4] alternative,standards [4] pretty,sure [3] doe,feels [3] innovation,#wcet19 [2] adult,student Top Word Pairs in Tweet in G7:
[5] #wcetpower,#wcet19 [5] #wcet19,#wcetpower [3] calimorrison,#wcet19 [2] check,out [2] experiences,#wcet19 [2] design,cost [2] cost,evaluative [2] evaluative,implications [2] implications,producing [2] producing,oer Top Word Pairs in Tweet in G9:
[4] calimorrison,#wcet19 [3] defining,innovation [2] innovation,using [2] using,different [2] different,way [2] way,make [2] make,more [2] more,effective [2] effective,students [2] students,faculty Top Word Pairs in Tweet in G10:
[8] patient,specific [4] great,opportunity [4] opportunity,present [4] present,work [4] work,#wcet19 [4] #wcet19,finally [4] finally,proving [4] proving,patient [4] specific,rehearsals [4] rehearsals,using 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 Replied-To in G6:
Top Replied-To in G7:
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 Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
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:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: