{"id":6404,"date":"2022-07-22T03:25:02","date_gmt":"2022-07-22T03:25:02","guid":{"rendered":"https:\/\/www.britopian.com\/?p=6404"},"modified":"2023-11-13T08:10:47","modified_gmt":"2023-11-13T08:10:47","slug":"nodexl-network-analysis","status":"publish","type":"post","link":"https:\/\/www.britopian.com\/data\/nodexl-network-analysis\/","title":{"rendered":"Social Network Analysis: Using NodeXL Pro to Uncover Insights"},"content":{"rendered":"

\"An<\/p>\n

Network analysis is a process of interrogating the relationships between different nodes in a network. Nodes can be any entity, such as people, influencers, organizations, words, or topics. Network analysis aims to identify patterns and discover relationships between these nodes. Marketers and analysts use various methods, including social network analysis, link, and path analysis.<\/p>\n

Each method has its strengths and weaknesses, but they all share the goal of helping you understand the complex web of connections that make up a network. By understanding these connections, you can learn the behavior of individuals within the network, the topics that connect different communities, and the overall structure of the network itself.<\/p>\n

How Can Marketers Use Network Analysis<\/strong><\/h3>\n

Network analysis can be a valuable tool for marketers who want to understand topical-based communities, brand perception, or how campaign content is shared within a data set. By understanding these relationships, marketers can better target their marketing efforts and tailor their narratives to specific groups of customers.<\/p>\n

For example, let’s say you’re a marketer for a clothing company. You might use network analysis to understand the relationships between different fashion influencers on social media. By understanding which influencers are connected, you can identify which ones are most likely to promote your products to their followers. In addition, network analysis often will uncover new influencers within a topical community.<\/p>\n

Also, network analysis can help identify topics and themes of a large dataset of social media conversations. For example, when researching the term “digital transformation,” network analysis can help determine other themes mentioned alongside digital transformation topics<\/a>. This can be valuable for marketers who want to know what their customers are talking about and use that data to inform<\/a> their digital marketing strategy.<\/p>\n

A few enterprise social listening platforms<\/a> offer similar analyses, but these can be costly. For everyone else, there’s a tool called NodeXL Pro.<\/p>\n

What is NodeXL?<\/strong><\/h3>\n

NodeXL is an open-source software application that allows you to collect, analyze, and visualize data from enterprise social media networks<\/a>. They have an easy-to-use interface, and users from all levels can use it to perform network analysis. You don’t have to be a data scientist to find success with NodeXL.<\/p>\n

NodeXL is a tool created by the Social Media Research Foundation. The foundation is dedicated to fostering research on contemporary network society using their tool, which is used in classrooms and universities globally. They have several licensing options<\/a>, but here are the basics:<\/p>\n