Edited Book on “Online Social Network for Business Framework ”

Book Published

https://onlinelibrary.wiley.com/doi/book/10.1002/9781394231126 

Mail your full Chapter at - rawat.romil@gmail.com

The book will be published under the Wiley-Scrivener imprint and will be indexed by Scopus and offered to Web of Science.

Important Guidelines for Chapter Preparation

Chapter Guidelines-  https://www.scrivenerpublishing.com/guidelines.php 

Chapter Template Download -  https://docs.google.com/document/d/1rSourLCkZ8B4f1ZuPmqMkFdKEEah2PZ-/edit?usp=sharing&ouid=101288703965698832037&rtpof=true&sd=true 

Note that all chapters will be put through similarity software and publisher’s guidelines are an overall similarity index of less than 15% (with maximum 3% from any single source). Each Chapter should have Minimum of 18 Pages.

Reviewing Policy: The editor(s) will engage 2 single blind peer-reviewers to assess originality, clarity, usefulness, and adherence to scope of project.

Submission Guidelines and Link

All Chapters must be original and not simultaneously submitted to another journal or conference.

Important Dates: 

In Published Book-

Soon New Editor and Author ( in Chapters ) Details will be updated and added in the Book- Removal of Current Editors are under process

Details

About the topic

Artificial intelligence (AI) can even schedule the postings so that manual setup is not required. A social monitoring or tracking solution with AI may provide knowledge about the product's OSN profiles and audience. This frequently entails utilizing the strength of AI to analyze social data at scale, comprehend its content, and then derive insights from that data. Several advantages are made possible by AI's capacity to recognize patterns and compare fresh input with pre-existing parameters. An OSN platform, for instance, may use AI to identify photos and analyze attitudes to provide enhanced customer service by customizing interactions with the platform for every user. Social network analysis (SNA) in OSN is a significant data mining issue. Encoding network data into low-dimensional representations, or network semantic similarity, is a critical step in the analysis of OSN because it efficiently preserves the network topological structure and other attribute data.

OSN's AI enables companies and marketers to explore demographic, trend, and behavioral patterns by measuring or forecasting consumer sentiment. The method of OSN automation involves employing automated technologies to enhance social interactions. This may entail pre-planning OSN postings or reposting well-liked content. The amount of time needed to administer and expand brand accounts is decreased by automating OSN posting, interaction, and maintenance. In order to develop a company's brand, boost sales, and enhance website traffic, SMM makes use of OSN platforms, where users may create social networks and share information’s applications are used as an advertising tool in SMM, a type of digital marketing. These OSN platforms give businesses the opportunity to interact with their customers in order to develop their brands, boost sales, and enhance website traffic. OSN is a digital era that makes it easier to share content, multimedia, and information with others online across networks and communities. OSN users number more than 4.8 billion worldwide.Social networking and the Internet of Things (SIOT) are combined in the SIOT, and linking objects makes it easier for individuals to connect with their possessions, which results in a greater commitment from people to their OSN accounts.The Book is focused for OSN operations using Data Mining, Informatics, Big Data Analytics, Artificial Intelligence (AI),Machine Learning (ML),Digital Image Processing, Internet of Things (IoT),Cloud Computing, Computer Vision , Cyber Security , Industry 4.0 and Health Informatics domains. 

About the book

The book presents marketing through online social networks (OSNs), which is a potent method for companies of all sizes to connect with potential clients and consumers. If visitors are not on OSN sites like Facebook, Twitter, and LinkedIn, they are missing out on the fact that people discover, learn about, follow, and purchase from companies on OSN. Excellent OSN advertising may help a company achieve amazing success by fostering committed brand supporters and even generating leads and revenues. A type of digital advertising known as social media marketing (SMM) makes use of the strength of well-known social networks to further advertise and establish branding objectives. Nevertheless, it goes beyond simply setting up company accounts and tweeting whenever visitors feel like it. Preserving and improving the profiles means posting content that represents the company and draws in the right audience, such as images, videos, articles, and live videos. addressing comments, shares, and likes while keeping an eye on the reputation to create a brand network, follow and interact with followers, clients, and influencers.

Authors can submit any number of chapters and can use Chapter topic of their work, relating towards Book Theme.

Tentative Topics but not limited to:

• ·         OSN and business process management

• ·         SNA for enterprise resource planning

• ·         online social network learning and Smart Education system

• ·         OSN and machine learning

• ·         OSN and data mining

• ·         Design of intelligent Techniques for OSN channels

• ·         Using natural language processing (NLP) in OSN

• ·         Cognitive OSN and SNA

• ·         Impacts of RPA on the industry

• ·         OSN Automation and Artificial Intelligence in Industry 4.0

• ·         OSN for digital transformation

• ·         OSN for Financial Services

• ·         digital system communication

• ·         OSN Automation for Business Processes during COVID-19 Pandemic

• ·   OSN applications for Artificial intelligence, robotics, big data, cloud computing, virtual reality and digital information technologies.

• ·         OSN automation bots for protecting businesses from cyber attacks

• ·         IoT-captured data for Business integration at OSN Channels

• ·         OSN in healthcare

• ·         OSN in Online Marketing

• ·         Online Social Network Automation

• ·         OSN for Military Applications and in Cyber Terrorism

• ·         Application , trends in OSN

•  .    Security and threat in OSN

• ·         OSN for Agriculture field, Medical field, Disaster field, Police and law enforcement field, Counter-pandemic field

• ·         OSN Security vulnerabilities

• ·         OSN attacks: taxonomies and classification

• ·         Attacks on the robots hardware and OSN communications

• ·         OSN Security requirements, recommendations, and future research directions

• ·         Automating privileged data management

• ·         OSN Fraud Detection System.

• ·         Intelligent Automation Services and OSN platforms.

• ·         Artificial Intelligence and Machine learning in OSN Industry.

• ·         for Online Social network

• ·         OSN and advanced sensing technologies

• ·         Voice-Controlled Autonomous in OSN

• 
  

  Keywords:

• ·         OSN Business Process

• ·         Online Social Network

• ·         Social Network Analytics

• ·         Process Automation

• ·         Software Robots

• ·         Digital Marketing

• ·         Intelligent Automation

• ·         Machine Learning

• ·         Artificial Intelligence

• ·         Business Computing

• ·         Business Informatics

• ·         Business Management

• ·         Business and Economics

• ·         Information and Communications Systems

• ·         Channel computing

• ·         E- Business  outsourcing

• ·         Product engineering computing

• ·         Industry 4.0

• ·         Artificial Neural Network algorithms,

• ·         Text Mining techniques and Natural Language Processing

• ·         Software Robot

• ·         Scripting language.

• ·         Financial Services

• ·         Cyber Security

• ·         IoT

• ·         Healthcare Automation

• ·         Process automation

• ·         Cyber threat

• ·         vulnerabilities

• ·         Cyber threat intelligence

• ·         OSN security and protection

• ·         Crawling Algorithms

• ·         Automotive industry

• ·         Automating privileged

• ·         data management

• ·         Fraud Detection System

• ·         Content Tracing and Identification.

• ·         Bot Monitoring

• ·         Intelligent Algorithm

• ·         E-Channels.

• ·         online social network learning

  Romil Rawat, Assistant Professor, SVIIT, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India. 

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