![]() ![]() SNA uses several methods and tools to study the relationships, interactions, and communications in a network. It explores the behavior of individuals at the micro-level, their relationships (social structure) at the macro level, and the connection between the two. Social Network Analysis (SNA), also known as network science, is a general study of the social network utilizing network and graph theory concepts. This blog delves into SNA (Social Network Analysis) and how it can be used to analyze and solve business-related problems. Though intellectuals have started seeing the benefits of identifying social groups for various applications, this concept has not become mainstream in the business world. The concept of networks and extracting information has untapped potential, be it a social setting, consumer behavior, health management, education, politics. The networks we are a part of also include a social media network where we connect with people across the world or even a consumer network as users of various brands. In other words, we are a part of a network in all stages of our lives, be it a social network like friends or family, an organization network like an educational institution or workplace. According to the Chaos Theory, something as small as the flutter of a butterfly’s wing can ultimately cause a typhoon halfway around the world. There is an invisible thread connecting all the dots despite the digital growth happening every day. In today’s world of limitless connectivity, multiple devices, unlimited choices, several individual personas, there is something sublime unifying all of the above. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |