The graph represents a network of 2,360 Twitter users whose tweets in the requested range contained "APSA", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 18 September 2021 at 19:38 UTC.
The requested start date was Saturday, 18 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 14-minute period from Saturday, 04 September 2021 at 00:40 UTC to Friday, 17 September 2021 at 23:55 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 : 2360
Unique Edges : 2180
Edges With Duplicates : 2007
Total Edges : 4187
Number of Edge Types : 5
Replies to : 674
Mentions : 985
Retweet : 735
MentionsInRetweet : 1336
Tweet : 457
Self-Loops : 471
Reciprocated Vertex Pair Ratio : 0.0323824209714726
Reciprocated Edge Ratio : 0.0627333831217326
Connected Components : 558
Single-Vertex Connected Components : 167
Maximum Vertices in a Connected Component : 530
Maximum Edges in a Connected Component : 1338
Maximum Geodesic Distance (Diameter) : 22
Average Geodesic Distance : 5.712791
Graph Density : 0.000481028301276755
Modularity : 0.641592
NodeXL Version : 1.0.1.447
Data Import : The graph represents a network of 2,360 Twitter users whose tweets in the requested range contained "APSA", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Saturday, 18 September 2021 at 19:38 UTC.
The requested start date was Saturday, 18 September 2021 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 7,500.
The tweets in the network were tweeted over the 13-day, 23-hour, 14-minute period from Saturday, 04 September 2021 at 00:40 UTC to Friday, 17 September 2021 at 23:55 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 : APSA
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:
[40] shivagopalmish1,railminindia [40] railminindia,rajnathsingh [40] rajnathsingh,ashwinivaishnaw [40] ashwinivaishnaw,sir [40] sir,plz [40] plz,hamari [40] hamari,etni [40] etni,hemat [40] hemat,rahi [40] rahi,apna Top Word Pairs in Tweet in G1:
[13] ãƒ,ム[7] gt,gt [4] political,science [4] african,peace [4] peace,security [4] security,architecture [4] architecture,apsa [4] calder,park [4] park,drag [4] drag,racing Top Word Pairs in Tweet in G2:
[12] teaching,civic [11] editors,contributors [11] civic,engagement [10] join,eagleton_ru [10] eagleton_ru,apsa [10] discussion,editors [10] contributors,teaching [9] early,career [9] career,fellowship [8] apsatweets,2021 Top Word Pairs in Tweet in G3:
[16] exciting,news [14] news,prior [14] prior,apsa [14] apsa,ubcmigration [14] ubcmigration,hosting [14] hosting,apsa [14] apsa,migration [14] migration,citizenship [14] citizenship,section [14] section,pre Top Word Pairs in Tweet in G4:
[6] help,find [6] please,help [4] gt,gt [4] law,clinic [4] apsa_songongo,hayi [4] apsa_songongo,lozaah [3] back,home [3] mikelo_sa,apsa_songongo [2] reditlhabi,bigdebatesa [2] zhlangu,zee Top Word Pairs in Tweet in G5:
[8] politics,religion [7] article,promoting [7] promoting,active [7] active,learning [7] learning,teaching [7] teaching,qualitative [7] qualitative,methods [7] methods,using [7] using,qdrepository [7] qdrepository,'s Top Word Pairs in Tweet in G6:
[6] political,scientists [6] people,attend [5] political,scientist [5] job,market [5] labor,day [5] apsa,predicts [5] predicts,2500 [5] 2500,people [5] attend,seattle [5] seattle,person Top Word Pairs in Tweet in G7:
[7] cfp,jitp_apsa [7] jitp_apsa,special [7] special,issue [7] issue,digital [7] digital,media [7] media,democracy [7] democracy,civil [7] civil,society [7] society,central [7] central,eastern Top Word Pairs in Tweet in G8:
[25] chata,hu [24] hu,aap [20] dana,chata [19] maduben,hryana [19] bati,ko [19] ko,wali [19] wali,wal [19] wal,koching [19] koching,dana [19] aap,mujhe Top Word Pairs in Tweet in G9:
[5] quantitative,methods [5] teaching,learning [5] tenure,track [4] teaching,class [3] election,administration [3] election,malfeasance [3] call,papers [3] assistant,professor [3] american,politics [3] come,work Top Word Pairs in Tweet in G10:
[31] know,femwiseafrica [31] femwiseafrica,strengthen [31] strengthen,#women's [31] #women's,role [31] role,peacebuild'g [31] peacebuild'g,state [31] state,build'g [31] build'g,_africanunion [31] _africanunion,established [30] auc_paps,know Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G2:
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Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
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Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Mentioned in G6:
Top Mentioned in G7:
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Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
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Top Tweeters in G10: