The graph represents a network of 6,993 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 Monday, 03 May 2021 at 02:57 UTC.
The requested start date was Sunday, 02 May 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 11-day, 17-hour, 45-minute period from Tuesday, 20 April 2021 at 05:36 UTC to Saturday, 01 May 2021 at 23:21 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 : 6993
Unique Edges : 5795
Edges With Duplicates : 12621
Total Edges : 18416
Number of Edge Types : 5
Retweet : 4304
MentionsInRetweet : 7241
Replies to : 228
Mentions : 4700
Tweet : 1943
Self-Loops : 2136
Reciprocated Vertex Pair Ratio : 0.0356337392873252
Reciprocated Edge Ratio : 0.068815331010453
Connected Components : 1144
Single-Vertex Connected Components : 596
Maximum Vertices in a Connected Component : 4478
Maximum Edges in a Connected Component : 14644
Maximum Geodesic Distance (Diameter) : 15
Average Geodesic Distance : 4.461925
Graph Density : 0.000187830851446412
Modularity : 0.472424
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 6,993 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 Monday, 03 May 2021 at 02:57 UTC.
The requested start date was Sunday, 02 May 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 11-day, 17-hour, 45-minute period from Tuesday, 20 April 2021 at 05:36 UTC to Saturday, 01 May 2021 at 23:21 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:
[517] quando,firma [510] degli,#osteopati [510] #csr,11 [508] 11,20 [459] firma,sul [454] sul,#dpr [452] #osteopati,votato [452] votato,#csr [445] 20,sono [445] sono,passati Top Word Pairs in Tweet in G1:
[31] braincures,drnancyolivieri [28] braincures,do_kinder [27] psychmh,tracyboylin [26] ukri_ceo,universitiesuk [24] tracyboylin,petejacksongmp [21] jeremyfarrar,ukri_ceo [20] petejacksongmp,rossthomson26 [17] googleexpertuk,icijorg [17] icijorg,drumeshprabhu [17] pharmavoice,phrma Top Word Pairs in Tweet in G2:
[54] social,responsibility [42] corporate,social [27] #csr,#esg [25] switching,cloud [25] cloud,eco [25] eco,friendly [25] friendly,idc [25] idc,recently [25] recently,released [25] released,study Top Word Pairs in Tweet in G3:
[39] #csr,#esg [33] eco,friendly [32] social,responsibility [32] switching,cloud [32] cloud,eco [32] friendly,idc [32] idc,recently [32] recently,released [32] released,study [32] study,predicting Top Word Pairs in Tweet in G4:
[83] #esgys,#esg [57] #climatechange,#csr [54] #esg,#sustainability [45] #csr,#cleantech [43] #cleantech,#greentech [38] #greenfinance,#sdg [37] #triplebottomline,#greenfinance [35] #greentech,#circulareconomy [34] #circulareconomy,#triplebottomline [29] #sustainability,#climatechange Top Word Pairs in Tweet in G5:
[48] india,csr [43] #csr,#esg [40] green,business [36] read,more [35] #indiacsr,#indiacsrnetwork [35] #indiacsrnetwork,#csrnetwork [35] #csrnetwork,#csrindia [35] #csrindia,#csr [35] #csr,#rusenkumar [33] more,#indiacsr Top Word Pairs in Tweet in G6:
[142] solar,cheapest [142] cheapest,electricity [142] electricity,history [142] history,confirms [142] confirms,iea [142] iea,wef [142] wef,#sustainability [142] #sustainability,#solar [142] #solar,#renewableenergy [140] #renewableenergy,#esg Top Word Pairs in Tweet in G7:
[58] #nonprofit,#csr [37] sevax,app [36] #communities,#nonprofits [33] #nonprofits,#nonprofit [31] #csr,#volunteering [26] #wellbeing,#nonprofit [26] #community,#nonprofit [26] #community,#education [25] #charitable,#giving [25] #sustainability,#education Top Word Pairs in Tweet in G8:
[9] disinformation,anti [9] anti,#climateaction [9] #climateaction,lobbying [8] #csr,#esg [7] 2021,telegraph [7] telegraph,still [7] still,churning [7] churning,climate [7] climate,disinformation [7] lobbying,still Top Word Pairs in Tweet in G9:
[517] quando,firma [510] degli,#osteopati [510] #csr,11 [508] 11,20 [459] firma,sul [454] sul,#dpr [452] #osteopati,votato [452] votato,#csr [445] 20,sono [445] sono,passati Top Word Pairs in Tweet in G10:
[94] know,impact [94] impact,evaluation [94] evaluation,join [94] join,#npc [94] #npc,webinar [94] webinar,april [94] april,29 [94] 29,register [94] register,#एनप [94] #एनप,स Top Replied-To in Entire Graph:
Top Replied-To in G1:
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Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
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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:
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Top Tweeters in G7:
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Top Tweeters in G10: