The graph represents a network of 4,894 Twitter users whose tweets in the requested range contained "#csr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 09 August 2020 at 01:18 UTC.
The requested start date was Sunday, 09 August 2020 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 11-day, 6-hour, 55-minute period from Sunday, 26 July 2020 at 00:27 UTC to Thursday, 06 August 2020 at 07:22 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 : 4894
Unique Edges : 3770
Edges With Duplicates : 8501
Total Edges : 12271
Number of Edge Types : 5
Retweet : 3212
MentionsInRetweet : 4908
Mentions : 2534
Tweet : 1523
Replies to : 94
Self-Loops : 1698
Reciprocated Vertex Pair Ratio : 0.0297047003319937
Reciprocated Edge Ratio : 0.0576955710164602
Connected Components : 955
Single-Vertex Connected Components : 418
Maximum Vertices in a Connected Component : 1795
Maximum Edges in a Connected Component : 6962
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 5.53198
Graph Density : 0.000246091866557322
Modularity : 0.477209
NodeXL Version : 1.0.1.439
Data Import : The graph represents a network of 4,894 Twitter users whose tweets in the requested range contained "#csr", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 09 August 2020 at 01:18 UTC.
The requested start date was Sunday, 09 August 2020 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 11-day, 6-hour, 55-minute period from Sunday, 26 July 2020 at 00:27 UTC to Thursday, 06 August 2020 at 07:22 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 : #csr
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:
[689] #csr,#startups [668] #webinar,#csr [511] ãƒ,ム[425] august,pm [415] npc_india_gov,#webinar [397] great,way [395] #startups,great [395] way,build [370] join,npc_india_gov [361] kita,semua Top Word Pairs in Tweet in G1:
[61] ãƒ,ム[37] î,î [30] ø,ø [23] social,responsibility [23] #csr,#sustainability [20] ø,ù [20] ù,ø [18] corporate,social [17] #sustainability,#csr [15] µãƒ,ムTop Word Pairs in Tweet in G2:
[359] #teamroadcare,mengutip [359] mengutip,sampah [359] sampah,yang [359] yang,dibuang [359] dibuang,bahu [359] bahu,jalan [359] jalan,#ft34 [359] #ft34,#csr [359] #csr,mohon [359] mohon,kita Top Word Pairs in Tweet in G3:
[49] social,responsibility [48] corporate,social [41] banking,sector [41] sector,take [41] take,#csr [41] #csr,seriously [41] seriously,#fintech [41] #fintech,#insurtech [41] #insurtech,#sustainability [41] #sustainability,#marketing Top Word Pairs in Tweet in G4:
[686] #csr,#startups [663] #webinar,#csr [422] august,pm [413] npc_india_gov,#webinar [393] #startups,great [393] great,way [393] way,build [369] join,npc_india_gov [278] build,human [252] #startups,august Top Word Pairs in Tweet in G5:
[127] wcl,commissioned [127] commissioned,ro [127] ro,plant [127] plant,1000 [127] 1000,litres [127] litres,hour [127] hour,capacity [127] capacity,sonurli [127] sonurli,#village [127] #village,adjacent Top Word Pairs in Tweet in G6:
[17] winning,everthing [17] everthing,thing [17] thing,delltech [17] delltech,winner [17] winner,#csr [17] #csr,#education [17] #education,category [17] category,ficci_india [17] ficci_india,thanks [16] archneha,winning Top Word Pairs in Tweet in G7:
[30] #csr,#benevity [13] forbes,#csr [9] social,responsibility [8] ceokarenbmoore,moore_agency [6] covid,19 [6] #leadership,#csr [6] remember,companies [5] millennials,driving [5] driving,brands [5] brands,implement Top Word Pairs in Tweet in G8:
[10] sustainable,development [10] development,journal [9] learn,more [8] strategic,csr [7] grateful,good [7] good,company [7] company,missing [7] missing,peeps [7] peeps,person [7] person,pyxeraglobal Top Word Pairs in Tweet in G9:
[45] ãƒ,ム[24] æ,æ [17] æ,ç [17] high,level [17] level,policy [15] policy,session [15] ethical,dimensions [13] #ä,æ [13] #wsis,forum [13] forum,high Top Word Pairs in Tweet in G10:
[22] œsocial,economy [22] economy,diariesâ [22] diariesâ,project [22] project,eu_commission [22] eu_commission,increase [22] increase,visibility [22] visibility,people [22] people,working [21] euses2020,œsocial [21] working,#socialâ Top Replied-To in Entire Graph:
Top Replied-To in G1:
Top Replied-To in G3:
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Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
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Top Tweeters in Entire Graph:
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Top Tweeters in G10: