The graph represents a network of 2,173 Twitter users whose recent tweets contained "@SAP OR #TheBestRun", 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 Monday, 05 July 2021 at 08:55 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 14-minute period from Saturday, 26 June 2021 at 18:29 UTC to Monday, 05 July 2021 at 08:43 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 : 2173
Unique Edges : 4862
Edges With Duplicates : 4142
Total Edges : 9004
Number of Edge Types : 5
Mentions : 3660
MentionsInRetweet : 3774
Retweet : 1069
Replies to : 462
Tweet : 39
Self-Loops : 68
Reciprocated Vertex Pair Ratio : 0.0336120401337793
Reciprocated Edge Ratio : 0.0650380197379065
Connected Components : 8
Single-Vertex Connected Components : 7
Maximum Vertices in a Connected Component : 2166
Maximum Edges in a Connected Component : 8992
Maximum Geodesic Distance (Diameter) : 4
Average Geodesic Distance : 2.649456
Graph Density : 0.00130960159804871
Modularity : 0.49696
NodeXL Version : 1.0.1.445
Data Import : The graph represents a network of 2,173 Twitter users whose recent tweets contained "@SAP OR #TheBestRun", 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 Monday, 05 July 2021 at 08:55 UTC.
The tweets in the network were tweeted over the 8-day, 14-hour, 14-minute period from Saturday, 26 June 2021 at 18:29 UTC to Monday, 05 July 2021 at 08:43 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 : @SAP OR #TheBestRun
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 : In-Degree
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[221] sap,#nowlove [214] platform,sap [210] watch,love [210] interactive,platform [209] cheer,time [209] time,watch [209] love,interactive [135] nowunitedmusic,sap [130] learn,more [110] sap,#s4hana Top Word Pairs in Tweet in G1:
[221] sap,#nowlove [210] watch,love [210] interactive,platform [210] platform,sap [209] cheer,time [209] time,watch [209] love,interactive [135] nowunitedmusic,sap [35] learn,more [30] #nowlove,#nowlove Top Word Pairs in Tweet in G2:
[86] learn,more [80] sap,#s4hana [67] more,sap [61] sap,solutions [52] good,business [52] world's,sustainable [52] sustainable,footwear [52] footwear,learn [52] solutions,helping [52] helping,allbirds Top Word Pairs in Tweet in G3:
[16] sap,microsoft [16] microsoft,google [14] sap,#s4hana [14] #tech,#technology [13] eynews,cocacola [13] cocacola,servicenow [13] servicenow,sap [13] google,salesforce [13] #covid19,impact [13] market,worth Top Word Pairs in Tweet in G4:
[24] adelahafez,lovegoldenheart [24] lovegoldenheart,kimadele10 [24] kimadele10,dkell999 [24] dkell999,nevillegaunt [24] nevillegaunt,drjdrooghaag [24] drjdrooghaag,avrohomg [24] avrohomg,amandaray02 [24] amandaray02,cindy_locher [24] cindy_locher,drumeshprabhu [24] drumeshprabhu,danaparenting Top Word Pairs in Tweet in G5:
[28] sap,sapdach [14] hpe,tsystemsde [14] sapnextgen,sap [11] cem_oezdemir,sap [11] thsaueressig,daniel1schmid [9] sapuccmd,ottostadt [9] ovgupresse,sapnextgen [9] sapdach,hpe [9] tsystemsde,inf_ovgu [9] inf_ovgu,_dsag Top Word Pairs in Tweet in G6:
[28] cloud,data [23] mastering,sap [23] sap,onair [23] onair,series [23] series,coming [23] coming,together [23] together,communities [23] communities,financials [23] financials,hr [23] hr,payroll Top Word Pairs in Tweet in G7:
[20] tomraftery,sap [17] sap,scmatsap [13] #supplychain,#digitalsupplychain [13] #digitalsupplychain,#podcast [13] #podcast,#digitaltransformation [13] #digitaltransformation,tomraftery [7] circular,economy [7] join,thursday [7] thursday,discover [7] discover,sap Top Word Pairs in Tweet in G8:
[36] lopsusej,rgcru [36] rgcru,anapomela [36] anapomela,laadelita3 [36] laadelita3,roanabuenavent1 [36] roanabuenavent1,roxanachavezlo3 [36] roxanachavezlo3,poncepichardo [36] poncepichardo,chioreya [36] chioreya,patyper [36] patyper,tomarie7 [36] tomarie7,meztli1_ Top Word Pairs in Tweet in G9:
[23] sap,aws [20] aws,#acceleratedigitalnow [10] tsystems_iberia,analiza [10] analiza,documento [10] documento,cómo [10] cómo,conseguir [10] conseguir,migraciones [10] migraciones,seguras [10] seguras,operaciones [10] operaciones,confiables 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 Replied-To in G8:
Top Replied-To in G9:
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: