scholarly journals Dueling deep Q-networks for social awareness-aided spectrum sharing

2021 ◽  
Author(s):  
Yonghua Wang ◽  
Xueyang Li ◽  
Pin Wan ◽  
Le Chang ◽  
Xia Deng
Keyword(s):  
Social Network ◽  
Spectrum Sharing ◽  
Social Relationship ◽  
Control Policy ◽  
Third Party ◽  
Social Awareness ◽  
Dynamic Spectrum Sharing ◽  
The Social ◽  
Cognitive Environment ◽  
Real Challenge

AbstractIn overlapping spectrum sharing, due to the complexity of cognitive environment, it is a real challenge for a secondary user (SU) to correctly sense the usage of the spectrum in real time. To tackle this challenge, a social awareness-aided transmit power control policy for SUs is developed. First, a social network composed of a group of third-party sensing nodes that do not share the spectrum with the PU is established, which helps an SU collect the power information of the PU. Then, we design a Dueling Deep Q-Network (DQN) model to achieve efficient dynamic spectrum sharing between the PU and the SU with the power information collected in the social network. Experimental results show that the spectrum sharing success rate is higher and the comprehensive performance is improved with the sensing nodes selected by the social relationship. Moreover, compared with other deep reinforcement learning (DRL) algorithms, the performance of Dueling DQN is more stable on our targeted spectrum sharing problem.

Resource Sharing between Social Network and UPnP Network

2014 ◽  
Vol 989-994 ◽  
pp. 4767-4770
Author(s):  
Hao Lin Jia ◽  
Yan He ◽  
Cheng Cheng Zhang ◽  
Lei Chen
Keyword(s):  
Social Network ◽  
Resource Sharing ◽  
Social Resources ◽  
Third Party ◽  
Home Network ◽  
Open Platform ◽  
Local Resources ◽  
The Social ◽  
The Media ◽  
Resources Sharing

Universal Plug and Play (UPnP) is a technology for devices interconnection and resource sharing in the home network. However, the UPnP network has a construct. User can only access local resources within the UPnP network, but user is Unable to access the resources outside the home network such as the resources of the user on the Internet. Now social network is popular, the user has a lot of resources in their own social network. How can the user realize resource sharing on social network to the UPnP network? It can make user can easily access to the user’s social resources on the network in their own UPnP home network. We found that most of the social network based on open platform OAuth authorization to third party that call the API to access the resources in social network. We now put forward a solution that is based on the architecture of UPnP AV, we can extend the media server’s function that call the social network open platform API to realize the resources sharing between social network and the UPnP network.

scholarly journals Identifying network structure, influencers and social mood in digital spheres: A sentiment and content analysis of down syndrome awareness

2018 ◽  
Vol 10 (1) ◽  
pp. 10-19
Author(s):  
Sunagul Sani Bozkurt
Keyword(s):  
Down Syndrome ◽  
Content Analysis ◽  
Social Network ◽  
Social Awareness ◽  
Daily Lives ◽  
Multiple Dimensions ◽  
The Social ◽  
Diverse Backgrounds ◽  
Online Spaces ◽  
Research Findings

AbstractDown syndrome is a sensitive subject and one that requires efforts being made to improve conditions of individuals with Down syndrome across multiple dimensions. Social awareness is one of the important dimensions for the inclusion of individuals with Down syndrome. Online spaces as well as offline spaces are an important part of our daily lives, and these spaces provide numerous opportunities to create, increase and sustain awareness of Down syndrome. From this perspective, this study examines the awareness of Down syndrome in online spaces. With this objective in mind, the research examined 4,168 conversations from 2,430 individuals that were posted in a microblogging service on WDSD. The research findings indicate that the Down syndrome network is distributed in time and space with diverse backgrounds. Key influencers were those who were already associated with Down syndrome. Furthermore, the social mood for Down syndrome was found to be positive.Keywords: Down syndrome, World Down Syndrome Day, Down syndrome awareness, social network analysis, sentiment analysis.*

scholarly journals Supporting CSCW and CSCL with Intelligent Social Grouping Services

2009 ◽  
pp. 1629-1641
Author(s):  
Jeffrey J.P. Tsai ◽  
Jia Zhang ◽  
Jeff J.S. Huang ◽  
Stephen J.H. Yang
Keyword(s):  
Social Network ◽  
Communities Of Practice ◽  
Social Relationship ◽  
Computational Models ◽  
Peer To Peer ◽  
Social Grouping ◽  
Important Relationship ◽  
The Social

This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.

scholarly journals Supporting CSCW and CSCL with Intelligent Social Grouping Services

2012 ◽  
pp. 420-433
Author(s):  
Jeffrey J.P. Tsai ◽  
Jia Zhang ◽  
Jeff J.S. Huang ◽  
Stephen J.H. Yang
Keyword(s):  
Social Network ◽  
Communities Of Practice ◽  
Social Relationship ◽  
Computational Models ◽  
Peer To Peer ◽  
Social Grouping ◽  
Important Relationship ◽  
The Social

This article presents an intelligent social grouping service for identifying right participants to support CSCW and CSCL. We construct a three-layer hierarchical social network, in which we identify two important relationship ties – a knowledge relationship tie and a social relationship tie. We use these relationship ties as metric to measure the collaboration strength between pairs of participants in a social network. The stronger the knowledge relationship tie, the more knowledgeable the participants; the stronger the social relationship tie, the more likely the participants are willing to share their knowledge. By analyzing and calculating these relationship ties among peers using our computational models, we present a systematic way to discover collaboration peers according to configurable and customizable requirements. Experiences of social grouping services for identifying communities of practice through peer-to-peer search are also reported.

scholarly journals Measurement of network-based and random meetings in social networks

2019 ◽  
pp. 765-779
Author(s):  
Pranav NERURKAR ◽  
MADHAV CHANDANE ◽  
SUNIL BHIRUD
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Relationship ◽  
Network Formation ◽  
Continuous Growth ◽  
The Social ◽  
Simulation Based ◽  
Suitable Structure ◽  
Block Models ◽  
Genesis Model

Social networks are created by the underlying behavior of the actors involved in them. Each actor has interactions with other actors in the network and these interactions decide whether a social relationship should develop between them. Such interactions may occur due to meeting processes such as chance-based meetings or network-based (choice) meetings. Depending upon which of these two types of interactions plays a greater role in creation of links, a social network shall evolve accordingly. This evolution shall result in the social network obtaining a suitable structure and certain unique features. The aim of this work is to determine the relative ratio of the meeting processes that exist between different actors in a social network and their importance in understanding the procedure of network formation. This is achieved by selecting a suitable network genesis model. For this purpose, different models for network genesis are discussed in detail and their differences are highlighted through experimental results. Network genesis models are compared and contrasted with other approaches available in the literature, such as simulation-based models and block models. Performance measures to compare the results of the network genesis models with baselines are statistics of networks recreated using the models. The socially generated networks studied here belong to various domains like e- commerce, electoral processes, social networking websites, peer to peer file-sharing websites, and Internet graphs. The insights obtained after analyzing these datasets by network genesis models are used for prescribing measures that could ensure continuous growth of these social networks and improve the benefits for the actors involved in them.

scholarly journals KESANTUNAN SEMU PADA TINDAK TUTUR EKSPRESIF MARAH DALAM BAHASA INDONESIA

2018 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Mursia Ekawati
Keyword(s):  
Data Analysis ◽  
Social Relationship ◽  
Speech Act ◽  
Third Party ◽  
Language Function ◽  
Expressive Speech ◽  
The Third ◽  
The Social ◽  
The Third Party ◽  
Bahasa Indonesia

Verbal anger is an expressive speech act. The language function that supported by expressive speech act is interactional, which is used to reveal social relationship and private attitude. The aims of this research is to get patterns of verbal anger in terms of expressive speech act in Bahasa. This research uses socio-pragmatic method to analyze through speech components, involving sociolinguistics and implicature. Data analysis is done by explaining the marker shapes as the indicator of anger and to whom (P1, P2 or P3) the anger is for. The result shows that speech act of anger are done through indirect sentences (interogative and affirmative sentences), implicit meanings and focus on the third party (P3). Anger to third party is realised as a pseudo politeness. The function of pseudo politeness is also for maintaining the social relationship between friends, families, and communities. This speech act of anger can be done through indirect sentences with the explicit meaning and focus on second party (P2). It is also done through direct sentences and explicit meanings with or without response from P2.

scholarly journals Life Experience of Ethnic Minorities in Urban of Vietnam: An Analysis of the Social Relationship and Social Networks

2021 ◽  
Vol 11 (5) ◽  
pp. 216
Author(s):  
Nguyen Van Chieu ◽  
Tran Van Kham
Keyword(s):  
Social Network ◽  
Ethnic Minorities ◽  
Social Relationship ◽  
Life Experience ◽  
Life Experiences ◽  
Social Relation ◽  
Initial Finding ◽  
The Social ◽  
National University ◽  
Industrial Zones

This article is a part of a research project supported by Vietnam National University-Hanoi about the social welfare of ethnic people in the urban and industrial zones, aims at identifying and describing the life experiences of these groups in the urbanization process. Shreds of evidence from analysing the social network, social connection, social interaction of research participants in their living and working places, it is found that the ethnic minorities face difficulties in setting their life in the new context. However, they tend to build the social cohesion and to be satisfied with the new life conditions to meet the objectives of having a better life and a job in the new context. The findings from this analysis also show that there is a difference among the living place, age group, gender correlated to the social network, social relation and life experiences in the new context. It is the initial finding from the survey of 600 ethnic people in urban of three provinces of Daklak, Lang Son and Binh Duong of Vietnam.   Received: 22 June 2021 / Accepted: 05 August 2021 / Published: 5 September 2021

The Role of Twitter in the World of Business

2011 ◽  
Vol 7 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Kevin Curran ◽  
Kevin O’Hara ◽  
Sean O’Brien
Keyword(s):  
Social Network ◽  
Communication Channel ◽  
Third Party ◽  
Best Interests ◽  
Wide Audience ◽  
Business World ◽  
Business Context ◽  
The Social ◽  
The World

This paper examines the services people seek out on Twitter and the integration of Twitter into businesses. Twitter has experienced tremendous growth in users over the past few years, from users sharing to the world what they had for lunch to their opinions on world events. As a social media website, Twitter has become the third most popular behind only Facebook and YouTube. Its user base statistics ensure a wide audience for business to engage with. However, many find this a daunting prospect as there are no set guidelines as to how business might use the service. The ability to post quick short messages for the whole of the social network to see has encouraged people to use this microblogging platform to comment and share attitudes on company brands and products. The authors present how the business world is using the social network site as a new communication channel to reach customers and examine other possible uses for Twitter in a business context. This paper also discusses how Twitter plans to move forward and evolve with its service, ensuring that personal, business and third party developers’ best interests are catered to.

The Role of Twitter in the World of Business

2013 ◽  
pp. 169-184
Author(s):  
Kevin Curran ◽  
Kevin O’Hara ◽  
Sean O’Brien
Keyword(s):  
Social Network ◽  
Third Party ◽  
Best Interests ◽  
Wide Audience ◽  
Business World ◽  
Business Context ◽  
The Third ◽  
The Social ◽  
The World

This paper examines the services people seek out on Twitter and the integration of Twitter into businesses. Twitter has experienced tremendous growth in users over the past few years, from users sharing to the world what they had for lunch to their opinions on world events. As a social media website, Twitter has become the third most popular behind only Facebook and YouTube. Its user base statistics ensure a wide audience for business to engage with. However, many find this a daunting prospect as there are no set guidelines as to how business might use the service. The ability to post quick short messages for the whole of the social network to see has encouraged people to use this microblogging platform to comment and share attitudes on company brands and products. The authors present how the business world is using the social network site as a new communication channel to reach customers and examine other possible uses for Twitter in a business context. This paper also discusses how Twitter plans to move forward and evolve with its service, ensuring that personal, business and third party developers’ best interests are catered to.

Taxonomy of Influence Maximization Techniques in Unknown Social Networks

2021 ◽  
pp. 351-363
Author(s):  
B. Bazeer Ahamed ◽  
Sudhakaran Periakaruppan
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Online Social Networks ◽  
Graph Mining ◽  
Influence Maximization ◽  
Business Strategies ◽  
The Social ◽  
Spread Of Influence ◽  
Maximization Algorithms ◽  
Real Challenge

Influence maximization in online social networks (OSNs) is the problem of discovering few nodes or users in the social network termed as ‘seed nodes', which can help the spread of influence in the network. With the tremendous growth in social networking, the influence exerted by users of a social network on other online users has caught the attention of researchers to develop effective influence maximization algorithms to be applied in the field of business strategies. The main application of influence maximization is promoting the product to a set of users. However, a real challenge in influence maximization algorithms to deal with enormous amount of users or nodes obtainable in any OSN is posed. The authors focused on graph mining of OSNs for generating ‘seed sets' using standard influence maximization techniques. Many standard influence maximization models are used for calculation of spread of influence; a novel influence maximization technique, namely the DegGreedy technique, has been illustrated along with experimental results to make a comparative analysis of the existing techniques.

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