Proceedings ArticleDOI
Behavior of the resources in the growth of social network
K Mahyuddin,Mahyuddin K. M. Nasution,Marischa Elveny,Rahmad Syah,Shahrul Azman Mohd Noah +4 more
- pp 496-499
TLDR
This paper is aimed to address the behavior of the resource in the growth of social networks by using the association rules and statistical calculations to explain the evolutionary mechanisms.Abstract:
Social network can be extracted from different sources of information, but the resources was growing dynamically require a flexible approach. Each social network has the resources, but the relationship between resources and information sources requires explanation. This paper is aimed to address the behavior of the resource in the growth of social networks by using the association rules and statistical calculations to explain the evolutionary mechanisms. There is a strong effect on the growth of the resources of social networks and totally behavior of resources has positive effect.read more
Citations
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Journal ArticleDOI
Social Network Mining (SNM): A Definition of Relation between the Resources and SNA
TL;DR: This paper aimed to address the behavior of the resource as a part of social network analysis (SNA) in the growth of social networks by using the statistical calculations to explain the evolutionary mechanisms.
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What WeChat can Learn from WhatsApp? Customer Value Proposition Development for Mobile Social Networking (MSN) Apps: A Case Study Approach
TL;DR: In this article, a new consumer value proposition (CVP) proposal for WeChat is proposed for consideration in matching with the globally evaluated consumers' value criteria, by considering WeChat as the company under study and comparing it with WhatsApp as the leading competitor in the market.
Research Opportunities for Argumentation in Social Networks.
TL;DR: In this article, the authors show how argumentation schemes theory can provide a valuable help to formalize and structure on-line discussions and user opinions in decision support and business oriented websites that held social networks between their users.
Proceedings ArticleDOI
An extracted social network mining
TL;DR: In this paper, the authors proposed the mining of social network based on unit analysis in social network analysis to build a network: vertex and edge, and explored naturally formal relation of vertices and edges like leadership of an author, and then they explained in experiments.
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Extracted Social Network Mining
TL;DR: In this paper, the authors study the relationship between the resources of social networks by exploring the Web as big data based on a simple search engine and provide them as representation of social actors and their relationship in clusters.
References
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Discrete temporal models of social networks
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