What is social network analysis in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: social network analysis

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: A way to derive new attributes from a social network, to enrich existing data and obtain a better predictive model.

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• Key Concepts: 
  Social network analysis (SNA) is a method of analyzing relationships between individuals or groups in a social network. It is used to identify patterns of interaction, uncover hidden relationships, and measure the influence of individuals or groups within the network. SNA can be used to analyze data from social media platforms, such as Twitter and Facebook, as well as other sources such as emails and phone calls. 
  
  How to use it: 
  SAP Predictive Analytics provides a suite of tools for performing social network analysis. These tools allow users to visualize the relationships between individuals or groups in a network, identify influential nodes, and measure the strength of connections between nodes. The software also provides tools for analyzing the sentiment of conversations in a network, as well as for predicting future trends in the network. 
  
  Tips & Tricks: 
  When performing social network analysis with SAP Predictive Analytics, it is important to consider the context of the data being analyzed. For example, if analyzing data from Twitter, it is important to consider the language used in tweets and the topics being discussed. Additionally, it is important to consider the time frame of the data being analyzed, as trends can change quickly over time. 
  
  Related Information: 
  SAP Predictive Analytics also provides tools for performing other types of analytics, such as text analytics and machine learning. Additionally, SAP offers a range of other products that can be used in conjunction with Predictive Analytics to gain further insights into data. These include SAP HANA and SAP BusinessObjects BI.