Structures of Twitter Crowds and Conversations Six distinct types of crowds that form on Twitter, based on the shape of the connections among the people who talk about it
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There are six distinct types of crowds that form on Twitter based on the shape of connections between users discussing a topic: 1) Polarized crowds have sharply divided subgroups. 2) Community crowds consist of tightly interconnected groups. 3) Brand crowds form around corporate/organization topics. 4) Bazaar crowds bring together various interested parties. 5) Broadcast crowds have a central influencer and surrounding audiences/communities. 6) Support crowds assist and provide feedback to companies.
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Marc Smith - Charting Collections of Connections in Social Media: Creating Ma...
Marc Smith discusses social network analysis of social media data. He outlines six types of social media networks: polarized crowds, tight crowds, brand clusters, community clusters, broadcast networks, and support networks. Each network type reflects different social dynamics. Smith advocates using social network mapping tools like NodeXL to analyze topics on social media to identify influential users, subgroups, and opportunities for shaping conversations.
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Social media presentation
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How to use social media network analysis for amplification
How can social media network analysis help you get your message out? Use network maps of social media to identify the most influential contributors based on their location within the network. Use content analysis to identify the topics, hashtags and URLs of greatest interest to the "mayors" of the hashtags that matter to you.
Social network
Social networking involves individuals connecting with others in online communities or networks. A social network is defined as a social structure made up of people or groups connected by relationships. Popular social networking sites allow people to present themselves and connect with others based on shared interests, work, college attendance, or for romantic connections. The top social networking sites are Facebook, Twitter, LinkedIn, and Myspace. Social networking has grown tremendously in popularity due to its ability to connect people inexpensively across distances. Statistics show people, especially youth, now spend a significant amount of time on social media each day.
Social networks
This document summarizes social networks and their use for marketing purposes. It defines social networks and provides a chronology and types of social networking sites such as forums, blogs, microblogging, photo sharing, and professional networks. Trends in social networking worldwide and in India are discussed. The document also examines revenue models for social networking sites including premium services, advertisements, micropayments, and partnerships. It explores how marketers can use social networks for new product launches, test marketing, community engagement, traffic and referral tracking, market research, branding, and promotions. Finally, it performs a Porter five forces analysis of social networking and concludes that innovation is key for social networking success going forward.
A virtual storm brewing social media2
The document discusses trends in social media, including a shift from large centralized platforms like Facebook to more niche and customized social platforms. It also notes a decline in social media engagement as people grow tired of excessive updates and meaningless interactions like "likes". The future of social media may involve more collaborative and reputation-based platforms focused on user-generated content.
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Selasturkiye Guide To The Top 16 Social Media Research Questions By Mra Imro
This document discusses social media research and provides guidance on key questions related to conducting social media research. It addresses questions such as the advantages and disadvantages of social media research, common data sources used, how social media research interacts with other research methods, assessing the reliability of social media research results, tracking and aggregating social media research within organizations, and important ethical and legal considerations.
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This presentation was for the National Center for Food Protection and Defense (NCFPD) as a social media training tool for professionals and researchers in social media.
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This document provides an overview of how to map and analyze hashtags on social media using network analysis. It discusses identifying leaders, groups, and topics within a hashtag network by analyzing the network structure and connections between accounts. Various network visualization and metric tools are presented for analyzing hashtag networks to understand community clusters, influential spreaders, and topic discussions. Recommended reading and resources on social network analysis and mapping social media networks with NodeXL are also provided.
Similar to Structures of Twitter Crowds and Conversations Six distinct types of crowds that form on Twitter, based on the shape of the connections among the people who talk about it (20)
Charting collections of connections in social media, presented by Marc Smith
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2015 #MMeasure-Marc Smith-NodeXL Mapping social media using social network ma...
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Think Link: Network Insights with No Programming Skills
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2016 SocialMedia.Org Marc Smith-NodeXL-Social Media SNA
2016 SocialMedia.Org Marc Smith-NodeXL-Social Media SNA
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Marc Smith - Charting Collections of Connections in Social Media: Creating Ma...
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20151001 charles university prague - marc smith - node xl-picturing political...
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How to use social media network analysis for amplification
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Selasturkiye Guide To The Top 16 Social Media Research Questions By Mra Imro
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Presented by Vladimir Iglovikov:
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Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
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Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
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