Top 6 social network analysis in 2022

Author: en.wikipedia.org

Date Submitted: 08/22/2019 10:14 AM

Average star voting: 3 ⭐ ( 68046 reviews)

Summary: Social network analysis is the process of investigating social structures through the use of networks and graph theory. This article introduces data scientists to the theory of social networks, with…

Match with the search results: Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory….. read more

Author: bmcmededuc.biomedcentral.com

Date Submitted: 08/18/2019 10:30 AM

Average star voting: 5 ⭐ ( 62297 reviews)

Summary: Read this blog to learn more about the Social Network Analysis and its Use Cases. This blog will also help to analyze and solve business-related problems.

Match with the search results: Social network analysis (SNA) is a collection of methods and tools that could be used to study the relationships, interactions and ……. read more

Author: www.publichealth.columbia.edu

Date Submitted: 01/30/2021 06:10 AM

Average star voting: 4 ⭐ ( 55246 reviews)

Summary: This definition explains the meaning of Social Network Analysis and why it matters.

Match with the search results: Social Network analysis is the study of structure, and how it influences health, and it is based on theoretical constructs of sociology and mathematical ……. read more

Author: www.sciencedirect.com

Date Submitted: 06/15/2020 12:05 PM

Average star voting: 5 ⭐ ( 56245 reviews)

Summary: Many systems can be represented as networks or graph collections of nodes joined by edges. The social structures in these networks can be investigated using graph theory through a process called social network analysis (SNA). In this paper, networks and SNA concepts were applied using Telecom data such as call detail records (CDRs) and customers data to model our social network and to construct a weighed graph in which each relation carries a different weight, representing how close two subscribers are to each other. In addition, SNA is used to explore the Telecom network and calculate the centrality measures, which help determine the node importance in the network. Depending on centrality measures as well as influence capability of node measure, the influencers in network were detected and targeted by marketing campaigns resulting in 30% raise in growth rate of mobile traffic compared with traditional ways. Finding Multi-SIM subscribers within the same operator or across different operators presents another important concern to Telecom companies because it allows to improve campaigns and churn prediction models. Social network similarity measures and social behavioral measures between nodes were calculated in the Telecom network to detect these Multi-SIM subscribes and 85% accuracy result was achieved for subscribes from different operators and 92% for subscribes from the same operator. The paper is based on a real dataset of 3 months CDRs and customer data provided by a local Telecom operator. This dataset is used to build a network with more than 16 million nodes and more than 300 million edges on a big data platform.

Match with the search results: Social network analysis, a research method developed primarily in sociology and communication science, focuses on patterns of relations among people and ……. read more

Author: towardsdatascience.com

Date Submitted: 05/31/2019 04:36 AM

Average star voting: 4 ⭐ ( 50030 reviews)

Summary: Explore social network analysis. Learn the definition of social network analysis and see the types of insights it provides. Find social network…

Match with the search results: Social network analysis is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes and the ties, edges, or links that connect them….. read more

Author: www.gartner.com

Date Submitted: 09/30/2020 11:59 AM

Average star voting: 4 ⭐ ( 51058 reviews)

Summary: Everything you need to know to get started with the degree, betweenness, closeness, Eigencentrality and PageRank centrality measures.

Match with the search results: Social network analysis is the process of investigating social structures through the use of networks and graph theory….. read more