The graph represents a network of 1,617 Twitter users whose tweets in the requested range contained "socialselling ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 November 2019 at 02:15 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 11-hour, 18-minute period from Thursday, 31 October 2019 at 13:25 UTC to Monday, 11 November 2019 at 00:43 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 : 1617
Unique Edges : 2218
Edges With Duplicates : 5593
Total Edges : 7811
Number of Edge Types : 3
Mentions : 6541
Tweet : 1253
Replies to : 17
Self-Loops : 1253
Reciprocated Vertex Pair Ratio : 0.0719164323021294
Reciprocated Edge Ratio : 0.134182908545727
Connected Components : 306
Single-Vertex Connected Components : 203
Maximum Vertices in a Connected Component : 1018
Maximum Edges in a Connected Component : 6865
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.573235
Graph Density : 0.00102102046939388
Modularity : 0.301797
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 1,617 Twitter users whose tweets in the requested range contained "socialselling ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Tuesday, 12 November 2019 at 02:15 UTC.
The requested start date was Monday, 11 November 2019 at 01:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 10-day, 11-hour, 18-minute period from Thursday, 31 October 2019 at 13:25 UTC to Monday, 11 November 2019 at 00:43 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 : GraphServerTwitterSearch
Graph Term : socialselling
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
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[545] social,selling [536] dlaignite,#socialselling [514] timothy_hughes,dlaignite [481] passle,timothy_hughes [472] #socialselling,#digitalselling [393] social,media [334] digital,transformation [208] #digitalmarketing,#socialselling [165] st3ph3n6,dlaignite [146] #leadership,#innovation Top Word Pairs in Tweet in G1:
[522] dlaignite,#socialselling [482] timothy_hughes,dlaignite [458] passle,timothy_hughes [422] #socialselling,#digitalselling [323] digital,transformation [208] social,selling [165] st3ph3n6,dlaignite [144] #leadership,#innovation [121] social,media [94] sales,marketing Top Word Pairs in Tweet in G2:
[37] social,selling [27] social,media [20] ðÿ,ðÿ [17] #socialmedia,#socialselling [15] #socialselling,#sales [10] #socialselling,#socialmedia [10] #b2b,#sales [10] tus,resultados [10] top,uk [10] uk,influencer Top Word Pairs in Tweet in G3:
[49] find,out [32] learn,more [24] #insurance,brokers [22] ceo,m_3jr [17] #digitalselling,#socialselling [17] episode,#sellingwithsocial [17] bernieborges,#cmo [16] know,standard [16] standard,#sales [16] #sales,101 Top Word Pairs in Tweet in G4:
[52] #socialselling,marketingland [44] #socialselling,socialmedia2day [33] social,media [29] social,selling [29] #socialselling,hubspot [26] infographic,#socialselling [15] #socialselling,efforts [14] #linkedin,#socialselling [12] key,tips [12] tips,help Top Word Pairs in Tweet in G5:
[76] lt,lt [48] brand24,jbarbosapr [28] media,monitoring [22] timothy_hughes,dlaignite [21] #linkedin,2020 [20] asã,serã [20] serã,nuestro [20] nuestro,perfil [20] perfil,#linkedin [20] 2020,podremos Top Word Pairs in Tweet in G6:
[110] social,selling [84] quã,social [60] â,quã [59] tus,ventas [54] pilares,potenciar [54] potenciar,tus [54] ventas,online [43] selling,pilares [37] ðÿž,â [37] online,â Top Word Pairs in Tweet in G7:
[25] selling,hard [25] statement,definitely [25] definitely,true [25] true,ways [25] ways,wrong [25] wrong,others [25] #socialselling,8 [25] 8,principles [25] principles,apply [25] apply,single Top Word Pairs in Tweet in G8:
[49] social,selling [36] #sales,#socialselling [24] #socialselling,#socialrecruitment [17] mysales4life,#socialselling [17] social,media [16] #motivation,#inspiration [16] #socialselling,#digitalselling [16] #socialselling,#sales [15] #socialrecruitment,#sales [10] #socialmedia,#socialselling Top Word Pairs in Tweet in G9:
[18] #linkedin,atteint [18] atteint,660 [18] 660,millions [18] millions,membres [18] membres,une [18] une,augmentation [18] augmentation,50 [18] 50,depuis [18] depuis,rachat [18] rachat,2016 Top Word Pairs in Tweet in G10:
[11] #formation,#photography [11] #photography,#socialselling [11] #socialselling,#business [11] â,ï [10] #business,#travel [9] ðÿž,#formation [8] #travel,#bordeaux [8] #bordeaux,#bruxelles [8] #bruxelles,#marketingdigital [8] #marketingdigital,#socialmedia Top Replied-To in Entire Graph:
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: