一致性问题最早出现在Reaching Agreement in the Presence of Faults中,简单来说一致性就是系统中各个独立的部分就某件事达成一致,但就是让大家都达成统一意见就是这么难,出现了Paxos, Zab , Raft等算法。本文重点介绍raft算法,因此下面会就raft具体展开。 raft中为了保证一致性,都有哪些方法呢? Leader Election Log...
Utilising the corpus, sentiment classifier named Kernel Extreme\nLearning Machine (KELM) optimised by Salp Swarm Algorithm (SSA)\ndetermines the class of political tweets as Happy, Extremely Happy, Sad,\nExtremely Sad and Neutral Sentiments. This work mainly focus on English\ntweets. The proposed...
Figure 2 shows these two main communities, which emerge after running the label propagation algorithm in [37] to the retweet network. Figure 2 Retweet Network after label propagation (547k nodes, 1.8M edges). The two main communities that emerge are the red one, characterized by Republican ...
Collective influence algorithm in directed networks We use the CI algorithm32 applied to directed networks to find the most influential nodes of the information retweet networks. The CI algorithm is based on the solution of the optimal percolation of random networks which consists of identifying the ...
interact with a considerable number of unverified accounts. After obtaining the validated projection, we can find different communities of verified users using the Louvain algorithm (see Sect.2.4). With the so found community labels, we can obtain groups of similar unverified users in the original ...
k-means cluster analysis in R As this exercise started as essentially just a test of getting data into H2O, I needed an H2O algorithm to test on the data. With just bags of words and no other metadata (such as how popular each post was, or who wrote it, ...
Build an algorithm in 30 lines of Python code with our starter code and Python package. Get started in minutes with our helpful documentation. Backtest your strategies for free with historical data. Access open-source resources built by our developer community. more What...
Build an algorithm in 30 lines of Python code with our starter code and Python package. Get started in minutes with our helpful documentation. Backtest your strategies for free with historical data. Access open-source resources built by our developer community. more What...
We subsequently run the Louvain community detection algorithm [36] on the validated network of verified users to obtain the main communities. Each of these communities was manually labeled based on the characteristics of the verified users inside. Then, to include also unverified users, the so-...
Text sentiment analysis was carried out through the Lexicon-Based Approach method and the Laplacian Smoothing calculation algorithm-which generated a rate that would represent a negative and a positive sentiment ranging from − 0.1306 (minimum) to 0.1489 (maximum) respectively, throughout the ...