Mining Unnoticed Knowledge in Collaboration Support Systems

2010 ◽  
pp. 83-94
Author(s):  
George Gkotsis ◽  
Nikos Tsirakis
Keyword(s):  
Data Mining ◽  
Social Networking ◽  
Community Members ◽  
Data Mining Technique ◽  
The Social ◽  
Diverse Communities ◽  
Collaboration Support ◽  
Meaningful Relationships ◽  
Online Communities Of Practice ◽  
Future Work

Numerous tools aiming at facilitating or enhancing collaboration among members of diverse communities have been already deployed and tested over the Web. Focusing on the particularities of online communities of practice (CoPs), this chapter introduces a framework for mining knowledge that is hidden in such settings. The authors’ motivation stems from the criticism that contemporary tools receive regarding lack of active participation and limited engagement in their use, which is partially due to the inability of identifying and exploiting a set of important relationships among community members and the associated collaboration-related assets. The authors’ overall approach elaborates and integrates issues from the data mining and the social networking disciplines. More specifically, the proposed framework enables CoPs members to rank the contributions of their peers towards identifying meaningful relationships, as well as valuable information about roles and competences. In the context of this chapter, the authors first model the characteristics of the overall collaboration setting and propose a set of associated metrics. Next, in order to reveal unnoticed knowledge which resides within CoPs, a data mining technique that groups users into clusters and applies advanced social networking analysis on them is proposed. Finally, the authors discuss the benefits of their approach and conclude with future work plans.

The Role of Social Networking in the Social Reform of Young Society

2019 ◽  
pp. 166-182
Author(s):  
Emad Abu-Shanab ◽  
Mushera Frehat
Keyword(s):  
Social Networks ◽  
Young People ◽  
Social Networking ◽  
Social Reform ◽  
Intention To Use ◽  
Virtual Communication ◽  
Building Relationships ◽  
The Social ◽  
Major Factors ◽  
Future Work

Social networks are virtual communication sites that allow its participants to connect, building relationships, and collaborate on social issues. It became part of our lives and spread rapidly among youth. Young people join these sites to keep strong relationships with friends and to make new ones. Therefore, it is important to investigate the factors that influence the intention to use social networking sites (SNSs) to gain better position in the social reform among young people. This study developed an integrated theoretical model which has five major factors that predict the intention to use SNSs. An empirical test was conducted, where a sample of 302 university students and an instrument containing 27 items was used. The results provide consistent evidence that all hypothesized positive associations exist except for the isolation variable. After taking into account different demographic and attitudinal variables, Facebook use still predicted respondents' social reform. The future work might focus on a specific context such as the effects of using social networks on education, and focus on students' environment in education and the influence of social network. Detailed results, conclusions and future work are stated in later sections.

The Role of Social Networking in the Social Reform of Young Society

2015 ◽  
Vol 6 (1) ◽  
pp. 61-75 ◽  
Author(s):  
Emad Abu-Shanab ◽  
Mushera Frehat
Keyword(s):  
Social Networks ◽  
Young People ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Reform ◽  
Social Issues ◽  
Empirical Test ◽  
Intention To Use ◽  
The Social ◽  
Future Work

Social networks are virtual communication sites that allow its participants to connect, building relationships, and collaborate on social issues. It became part of our lives and spread rapidly among youth. Young people join these sites to keep strong relationships with friends and to make new ones. Therefore, it is important to investigate the factors that influence the intention to use social networking sites (SNSs) to gain better position in the social reform among young people. This study developed an integrated theoretical model which has five major factors that predict the intention to use SNSs. An empirical test was conducted, where a sample of 302 university students and an instrument containing 27 items was used. The results provide consistent evidence that all hypothesized positive associations exist except for the isolation variable. After taking into account different demographic and attitudinal variables, Facebook use still predicted respondents' social reform. The future work might focus on a specific context such as the effects of using social networks on education, and focus on students' environment in education and the influence of social network. Detailed results, conclusions and future work are stated in later sections.

Semantic Integrating for Intelligent Cloud Data Mining Platform and Cloud Based Business Intelligence for Optimization of Mobile Social Networks

2013 ◽  
pp. 173-211 ◽  
Author(s):  
Gebeyehu Belay Gebremeskel ◽  
Zhongshi He ◽  
Xuan Jing
Keyword(s):  
Data Mining ◽  
Social Media ◽  
Social Networking ◽  
Technological Innovation ◽  
Information Access ◽  
Business Environment ◽  
High Availability ◽  
Cloud Data ◽  
The Social ◽  
Social Cloud

In this chapter, the authors focused on optimization of MSNs based on integrating for intelligent DM and BI platforms, which involves mobile devices. The approach is defining the challenges based social network trends and current situation explorations, and then applying the techniques to exploring the social media towards social cloud technology, which focused on creating a scalable, adaptable and optimal social cloud as the users’ contexts and IT technologies. The newly proposed method is vigorously significant to develop flexible social networking in relation to the development of IT, which facilitates data/information access, distributions, high availability and a large amount of data analysis and others. Therefore, the techniques this chapter is vitally crucial to improve the performance and use of social networking in a comprehensive and powerful way. Nutshell, this chapter overviews the impetus for the development of intelligent semantic cloud and diversified social-networking in both physical and wireless sectors, which representing a wide aspect of social cloud change, and increasingly appropriate service providing a platform for innovative ideas and technological innovation in the business environment.

scholarly journals A Study on Recommendation Systems in Location Based Social Networking

2017 ◽  
Vol 41 (2) ◽  
pp. 213-229
Author(s):  
Lakshmi Shree Kullappa ◽  
Rajeshwari Kullappa
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Recommendation Systems ◽  
Smart Devices ◽  
Media Content ◽  
Location Data ◽  
The Social ◽  
Comprehensive Survey ◽  
Location Based Social Networks ◽  
Meaningful Relationships

Smart devices in the hands of people are revolutionizing the social lifestyle of one's self. Everyone across the world are using smart devices linked to their social networking activities one such activity is to share location data by uploading the tagged media content like photos, videos. The data is of surroundings, events attended/attending and travel experiences. Users share their experiences at a given location through localization techniques.  Using such data from social networks an attempt is made to analyse tagged media content to acquire information on user context, individual’s interests, tastes, behaviours and derive meaningful relationships amongst them are referred to as Location Based Social Networks (LBSNs). The resulting information can be used to market a product and to improve business, as well recommend a travel and plan an itinerary. This paper presents a comprehensive survey of recommended systems for LBSNs covering the concepts of LBSNs, terminologies of LBSN and various recommendation systems.

scholarly journals Predictive Research for Mental Health Disease

2019 ◽  
Vol 8 (9S2) ◽  
pp. 196-199
Keyword(s):  
Data Mining ◽  
Mental Illness ◽  
Mental State ◽  
Medical Science ◽  
Data Mining Technique ◽  
Hidden Patterns ◽  
Meaningful Relationships ◽  
Predictive Research ◽  
Human Kind ◽  
Day By Day

Many people are suffering from some kind of mental illness and this number is increasing day by day. Despite major revolutions in medical science exact identification of factor that leading to mental illness is still unknown to the world. Due to its ambiguous nature, mental state of person is a major focus on research these days. With the emergence of smart phones, PCs, internet of things. The amount of data human kind produce everyday is huge and only accelerating. These data are stored in a semi structured way and used to get meaningful relationships and trends in data. Data mining techniques can be efficiently used on this data to find hidden patterns between different attributes of data. This paper describes the prototype to use data mining technique namely Random forests classification to determine person’s mental state based on attributes such as age, gender, life style, education, Occupation, personal income, vision, sleep, mobility, hypertension, diabetes. The system will predict whether a patient is suffering from mental illness or not.

Data Mining for the Social Sciences

2015 ◽  
Author(s):  
Paul Attewell ◽  
David Monaghan
Keyword(s):  
Social Sciences ◽  
Data Mining ◽  
The Social

PAR Method

2010 ◽  
Vol 3 (3) ◽  
pp. 355-375 ◽  
Author(s):  
Michelle Billies
Keyword(s):  
New York ◽  
Low Income ◽  
Critical Consciousness ◽  
Design Method ◽  
Participatory Action ◽  
Community Members ◽  
Context Analysis ◽  
Gender Nonconforming ◽  
The Social ◽  
And Gender

The work of the Welfare Warriors Research Collaborative (WWRC), a participatory action research (PAR) project that looks at how low income lesbian, gay, bisexual, transgender, and gender nonconforming (LG-BTGNC) people survive and resist violence and discrimination in New York City, raises the question of what it means to make conscientization, or critical consciousness, a core feature of PAR. Guishard's (2009) reconceptualization of conscientization as “moments of consciousness” provides a new way of looking at what seemed to be missing from WWRC's process and analysis. According to Guishard, rather than a singular awakening, critical consciousness emerges continually through interactions with others and the social context. Analysis of the WWRC's process demonstrates that PAR researchers doing “PAR deep” (Fine, 2008)—research in which community members share in all aspects of design, method, analysis and product development—should have an agenda for developing critical consciousness, just as they would have agendas for participation, for action, and for research.

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