Evolution of social networks based on tagging practices
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This document discusses the evolution of social networks based on tagging practices across different social media platforms. It introduces an object-centered social network built from analyzing tagging data that can reveal relationships between users over time. The proposed network aims to address disadvantages with existing systems by providing a standardized way to collect, share, and reuse tagging data to discover new knowledge and social relationships distributed across sites.
Evolution of social networks based on tagging practices
- 1. Evolution of Social Networks Based on Tagging Practices ABSTRACT: Websites that provide content creation and sharing features have become quite popular recently. These sites allow users to categorize and browse content using “tags” or free-text keyword topics. Since users contribute and tag social media content across a variety of social web platforms, creating new knowledge from distributed tag data has become a matter of performing various tasks, including publishing, aggregating, integrating, and republishing tag data. In this paper, we introduce an object-centered social network based on tagging practices across different sources, and then we show how this network can be built and emerged over time. EXISTING SYSTEM: A key feature of user-contributed content in Web 2.0 sites is that the content item may be tagged, and can be shared with and commented upon by others. From this perspective, tags can be seen as objects for sharing, exchanging, and integrating a user’s interests through tags attached to social objects on various Web 2.0 sites.
- 2. Although a few words alone cannot identify user interests, a culture of mass participation leads to social interaction among users, and influences the use of terms in a community DISADVANTAGES OF EXISTING SYSTEM: Creating new knowledge or new social relationships from various social objects remains a big challenge. Since a content item is a heterogeneous resource, with many different associated type(s), and will be defined by different sets of metadata on distributed sites, a consistent way of collecting shared interests from independent and heterogeneous sites is required. Tagging does not aim to create a strict classification of objects, but rather allows a user to categorize an object according to their own interests with their own keywords. Currently, most tagging systems do not provide a standardized format to share, exchange, and reuse tag data among users or communities PROPOSED SYSTEM: In this paper, we aim to explore a hidden structure of tagging practices and to build implicit social network that consists of people and their using patterns. For this purpose, we use social network analysis that reveals the “structure of social relationships” in a group or a community between people
- 3. ADVANTAGES OF PROPOSED SYSTEM: The users in the community (although relatively small size) have slightly differentiated interests, and this makes several clusters from tagging activities. The resulting analysis reveals that tagging activities have strong efforts on changing relationships between users. SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS: • System : Pentium IV 2.4 GHz. • Hard Disk : 40 GB. • Floppy Drive : 1.44 Mb. • Monitor : 15 VGA Colour. • Mouse : Logitech. • Ram : 512 Mb. SOFTWARE REQUIREMENTS:
- 4. • Operating system : - Windows XP. • Coding Language : ASP.NET, C#.Net. • Data Base : SQLServer 2005 REFERENCE: Hak-Lae Kim, John G. Breslin, Member, IEEE, Han-Chieh Chao, Senior Member, IEEE, and Lei Shu, Member, IEEE, “Evolution of Social Networks Based on Tagging Practices”, IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 6, NO. 2, APRIL-JUNE 2013.