The graph represents a network of 4,408 Twitter users whose recent tweets contained "#IBM", 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 Tuesday, 26 November 2019 at 13:57 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 46-minute period from Sunday, 17 November 2019 at 10:44 UTC to Tuesday, 26 November 2019 at 13:30 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 : 4408
Unique Edges : 7473
Edges With Duplicates : 5716
Total Edges : 13189
Self-Loops : 2745
Reciprocated Vertex Pair Ratio : 0.0339027943318766
Reciprocated Edge Ratio : 0.0655821698475727
Connected Components : 924
Single-Vertex Connected Components : 614
Maximum Vertices in a Connected Component : 2608
Maximum Edges in a Connected Component : 10559
Maximum Geodesic Distance (Diameter) : 14
Average Geodesic Distance : 4.972809
Graph Density : 0.000401882914370266
Modularity : 0.523023
NodeXL Version : 1.0.1.421
Data Import : The graph represents a network of 4,408 Twitter users whose recent tweets contained "#IBM", 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 Tuesday, 26 November 2019 at 13:57 UTC.
The tweets in the network were tweeted over the 9-day, 2-hour, 46-minute period from Sunday, 17 November 2019 at 10:44 UTC to Tuesday, 26 November 2019 at 13:30 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 : #IBM
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
Vertex Alpha : Followers
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[199] cloud,pak [180] #ibm,#cloud [159] #ibm,#ai [154] il,mondo [153] scopri,come [153] problemi,ci [153] ci,stimolano [153] stimolano,far [153] far,progredire [153] progredire,il Top Word Pairs in Tweet in G1:
[38] #ibm,#cloud [36] #ibm,#maximo [34] #maximo,asset [34] asset,monitor [27] operations,read [27] read,blog [26] announcing,#ibm [26] monitor,new [26] new,solution [26] solution,empowers Top Word Pairs in Tweet in G2:
[86] #ibm,#maximo [59] cloud,pak [57] dvellante,thecube [57] thecube,#dataaiforum [57] #dataaiforum,#thecube [53] #ibm,#enterprisetech [52] ibm,dvellante [52] #thecube,#ibm [48] open,source [42] learn,more Top Word Pairs in Tweet in G3:
[137] t,h [112] #ibmsystems,#europe [98] #ibm,#ibmsystems [85] #machinelearning,#deeplearning [84] distinguished,engineer [81] #cto,#ibm [77] h,thomas_harrer [62] thomas_harrer,#cto [60] #ibm,distinguished [59] #architectingthefuture,#ibm Top Word Pairs in Tweet in G4:
[142] il,mondo [141] scopri,come [141] problemi,ci [141] ci,stimolano [141] stimolano,far [141] far,progredire [141] progredire,il [106] è,da [106] da,problemi [106] problemi,come Top Word Pairs in Tweet in G5:
[84] #smartlovesproblems,#ibm [67] #blockchain,#ibmcloud [67] #ibmcloud,helps [67] helps,everyone [67] everyone,growers [67] growers,grocers [67] grocers,trace [67] trace,food [67] food,supplies [67] supplies,preventing Top Word Pairs in Tweet in G6:
[33] #redhat,#openshift [33] avec,#ibm [31] partenariat,avec [28] #openshift,#kubernetes [27] nestlé,et [27] et,carrefour [27] carrefour,lancent [27] lancent,1ère [27] 1ère,#blockchain [27] #blockchain,#nutrition Top Word Pairs in Tweet in G7:
[17] #ibm4ins,#ibm [16] client,center [14] #ibm,#retail [13] cloud,pak [12] ibm,client [11] special,guest [11] #ibm,#insurance [11] 5th,anniversary [10] dem,#ibm [9] find,out Top Word Pairs in Tweet in G8:
[90] eu,china [56] hybrid,chain [45] remember,sunny [45] sunny,hinted [45] hinted,whole [45] whole,#ibm [45] #ibm,#vechain [45] #vechain,hybrid [45] hybrid,already [45] already,know Top Word Pairs in Tweet in G9:
[12] data,science [11] #ibmdeveloper,#ibm [10] #おとなfamilyday,#ibm [10] #jjug_ccc,#ibm [10] call,code [8] 11,23 [8] women,data [8] ワタシの知らないibmシリーズ,#ibm [8] #ibm,に入社してとても驚いたのは [8] に入社してとても驚いたのは,#女性 Top Word Pairs in Tweet in G10:
[60] #opennodes,#tribeaccelerator [60] #tribeaccelerator,#bmwasia [60] #bmwasia,#cic [60] #cic,#govtech [60] #govtech,#ibm [60] #ibm,#imda [60] #imda,#vechain [60] #vechain,#limestonenetwork [60] #limestonenetwork,#smartcityblockchain [60] #smartcityblockchain,#blockchain Top Replied-To in Entire Graph:
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 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: