data-sciencedatamachine-learningawesometwittersentiment-analysissocial-networkssocial-networkdatasetawesome-listdatasetssocial-network-analysis UpdatedNov 27, 2023 danielcaldas/react-d3-graph Star824 Code Issues Pull requests Discussions Interactive and configurable graphs with react and d3 effortlessly ...
StatSocial’s unique dataset fuels innovative solutions for brands & agencies looking to stand out in the marketplace. Influencer Marketing Insights & Measurement Data for Marketing Audience-First Influencer Discovery & Measurement Validate and measure influencer partnerships with precision, ensuring ...
AI excels at identifying patterns and trends in large datasets that human analysts might miss. It can quickly find hidden correlations and insights in a dataset with millions of data points. It also allows for real-time analysis and adjustments. If you're running asocial media campaign, AI ...
Social network analysis: Social network analysis looks at the relationships between social media users and identifies patterns in how they interact, which can help businesses identify key influencers or advocates for their brand. Content analysis: Content analysis looks at social media content to identi...
Online social networks have increasing influence on our society, they may play decisive roles in politics and can be crucial for the fate of companies. Such services compete with each other and some may even break down rapidly. Using social network datas
In the MPN dataset, the synthetic network’s modularity is found to be smaller than the empirical one. This finding can be due to the limited size that the network reaches in the simulation time (~2500 nodes versus the millions of the real case) and the fraction of time steps that we ...
network age, that allows us to compress the social network of all individuals in the colony into a single number per bee per day. Network age, and therefore the social network of a bee, captures the individual’s behavior and social role in the colony and allows us to predict task allocat...
MapReduce provides an excellent technique to work with large sets of data when the algorithm can work on small pieces of that dataset in parallel, but if the algorithm cannot be mapped into this methodology, it may be “trying to use a sledgehammer to crack a nut”. 2.2. Apache Hadoop ...
(LDA) and deep learning architecture such as Convolutional Neural Network (CNN). However, the resulting performance is still low in several personality models, namely in the range of 60%–75% accuracy score. This is caused by due to small number of dataset used in this study to capture ...
Growth in online impulsive buying and digital advertising have drawn the attention of researchers in developed countries, but it is still in its early stages, especially in China. China is positioned to overtake the world as the nation with the highest v