Abstract
An increasing amount of social networks users-generated data is the most remarkable research challenge nowadays. Despite the progress in the field of semistructured data processing algorithms creation, even initial data collection could not be treated as issues that have been optimally solved. The paper covers a high-level overview of the automated social media content search system. The proposed structure enables to implement instruments for multisource content extraction tasks as well as supporting of identification processes of new patterns, which describe a certain type of content. Issues of Search engine organization, logically unified extracted data repository and possible content classification techniques with the appropriate knowledge base’s application are considered. Under the work, existing approaches and automated web-data extraction methods have been analyzed; social media API’s functions and limits, as well as ways of semistructured data storage system organization, have been studied. The planned result’s application area is automation and informational support of sociological research based on the social media content analysis techniques namely a content propagation simulation in interconnected groups; social and personal anomy study; clarification of the weak linkage’s strength concept.
Highlights
The modern sociology which has entered in the age of digitalization focuses on the understanding of how to operate with various digital devices and modern data aggregation and analysis approaches for the human behavior diagnosis in a context of social networking
The scientific community had started to pay attention to social networks analysis about ten years ago. This kind of analysis is considered as a multidisciplinary research area that gathers to aggregate, extend and adapt methods of social media content data analysis [4,5,6]
It was extended through the years, and in a context of the research to define the impact of the disruptive content driven to promote radical ideas, has evolved to a milestone where the social media has a great impact
Summary
The modern sociology which has entered in the age of digitalization focuses on the understanding of how to operate with various digital devices and modern data aggregation and analysis approaches for the human behavior diagnosis in a context of social networking. The scientific community had started to pay attention to social networks analysis about ten years ago. This kind of analysis is considered as a multidisciplinary research area that gathers to aggregate, extend and adapt methods of social media content data analysis [4,5,6]. It was extended through the years, and in a context of the research to define the impact of the disruptive content driven to promote radical ideas, has evolved to a milestone where the social media has a great impact.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IOP Conference Series: Materials Science and Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
