definition for: #SMDHumanities

Description #SMDHumanities Organised by the Social Media Research Foundation. This event will introduce the importance of social media research and provide an overview of #NodeXL Pro for the analysis of social media data. #NodeXL provides easy access to social media network data streams, advanced network metrics, and text and sentiment analysis, and powerful report generation with just a few clicks. It will be led by Dr. Marc Smith from the Social Media Research Foundation. Learn tips and tricks for downloading and analysing social media data for your project! No previous knowledge required. Contact: info@researchingsocialmedia.com ----------------------------------------------------- The training event will cover both quantitative and qualitative social media analysis techniques using NodeXL. This topic has grown in importance with the increasing popularity of social networking websites in particular (e.g. Twitter, YouTube, Facebook, LinkedIn, and Instagram etc.) and social computing in general. As people increasingly participate in online communities for social, commercial, and civic interaction, new methods are needed to study these phenomena. The event will different research methods that have been utilised by academic researchers, such as machine learning, sentiment analysis, social network network analysis, content analysis, and thematic analysis which can be utilised to be applied to the domains of commercial data analytics as well as academic research. The event will also touch on the diverse potentials of social data for organisations from forecasting, detecting crisis events, and as an early warning system for organisational threats. The event will then focus on providing an overview of NodeXL and Social Network Analysis and will guide delegates on all the steps required to be able to use to tool to download and analyse social media data. Delegates will be emailed a certificate of attendance and the skills that have been gained. LinkedIn recommendations are also available. Learning Outcomes: Upon completion of this course, participants will: understand the basics of SNA, its terminology and background. be able to transform communication data(e.g. Facebook, YouTube, Twitter, etc.) into network data. understand the different possible data formats for social networks e.g. in a matrix or edge list. know how SNA can be applied to social media analysis. be familiar with the use of standard SNA tools and software in general and the NodeXL social network analysis add-in for Excel in particular be able to derive practical and useful information through SNA analysis that would help design and manage an innovative and successful online community. Who will benefit from this course? This event will benefit a wide range of people including, but not exhaustive to: Academics/ Researchers, Masters and PhD students, Research Support Staff and Managers, Library and Information Professionals, Communications and Marketing Professionals, Finance/Banking Professionals, Entrepreneurs Venue Charles Street Building, Sheffield Hallam Univeristy. Only a 7 minute walk from Sheffield Train Station. Click here to see the route. Organised by the Social Media Research Foundation. Contact: info@researchingsocialmedia.com

#SMDHumanities Social Media & Digital Humanities: Social Network Analysis Using #NodeXL NodeXL Description: Organised by the Social Media Research Foundation. This event will introduce the importance of social media research…http://***

#SMDHumanities Social Media & Digital Humanities: Social Network Analysis Using #NodeXL NodeXL Description: Organised by the Social Media Research Foundation. This event will introduce the importance of social media research… http://***