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Design of Open Content Social Learning based on the Activities of Learner and Similar Learners

John, Benneaser; Jayakumar, J.; Thavavel, V.; Arumugam, … - In: International Journal of Distance Education … 15 (2017) 2, pp. 62-85

Teaching and learning are increasingly taking advantage of the rapid growth in Internet resources, open content, mobile technologies and social media platforms. However, due to the generally unstructured nature and overwhelming quantity of learning content, effective learning remains...

Persistent link: https://www.econbiz.de/10012044023

Blogracy: A Peer-to-Peer Social Network

Franchi, Enrico; Poggi, Agostino; Tomaiuolo, Michele - In: International Journal of Distributed Systems and … 7 (2016) 2, pp. 37-56

The current approach to build social networking systems is to create huge centralized systems owned by a single company. However, such strategy has many drawbacks, e.g., lack of privacy, lack of anonymity, risks of censorship and operating costs. In this paper the authors propose a novel P2P...

Persistent link: https://www.econbiz.de/10012044163

Attitudes of University Students Voters Towards Political Messages in Social Media

Selvi, Murat Selim - In: International Journal of Electronic Government Research … 12 (2016) 4, pp. 67-89

population of the study. In this research, sample was not taken. Questionnaire form was used as data collecting tool. Data …

Persistent link: https://www.econbiz.de/10012044376

MR-LDA: An Efficient Topic Model for Classification of Short Text in Big Social Data

Lin, Weiwei; Pang, Xiongwen; Wan, Benshuai; Li, Huifang - In: International Journal of Grid and High Performance … 8 (2016) 4, pp. 100-113

micro-blog documents into consideration. MR-LDA is more suitable to model Chinese micro-blog data. Gibbs sampling method is …

Persistent link: https://www.econbiz.de/10012045039

Preventing Identity Disclosure in Social Networks Using Intersected Node

Singh, Amardeep; Bansal, Divya; Sofat, Sanjeev - In: International Journal of Information Security and … 10 (2016) 3, pp. 25-41

Social networks like Facebook, Twitter, Pinterest etc. provide data of its users to the demanding organizations to … better comprehend the quality of their potential clients. Publishing confidential data of social network users in its raw … not only prevents identity disclosure but also preserves utility of data published by online social networks. Algorithms …

Persistent link: https://www.econbiz.de/10012045678

Investigating the Seeking Behavior for Religious Information in Social Media

Almobarraz, Abdullah - In: International Journal of Information Systems and Social … 7 (2016) 4, pp. 67-79

Reading and learning about religious information is a habit that Saudis practice to increase their understanding of Islamic rules. It is common now for people to learn about religion from social media. Therefore, the study reports on a survey that was distributed to people in Saudi Arabia to...

Persistent link: https://www.econbiz.de/10012045745

Polarity Classification of Arabic Sentiments

Al-Kabi, Mohammed N.; Wahsheh, Heider A.; Alsmadi, Izzat M. - In: International Journal of Information Technology and Web … 11 (2016) 3, pp. 32-49

Sentiment Analysis/Opinion Mining is associated with social media and usually aims to automatically identify the polarities of different points of views of the users of the social media about different aspects of life. The polarity of a sentiment reflects the point view of its author about a...

Persistent link: https://www.econbiz.de/10012046085

Arabic Rumours Identification By Measuring The Credibility Of Arabic Tweet Content

Floos, Ahmad Yahya M. - In: International Journal of Knowledge Society Research (IJKSR) 7 (2016) 2, pp. 72-83

Twitter enjoys the fame of the most popular and widely used as a platform for socializing, including all aspects of life current affairs, religious ideas, political issues, scientific research, and general knowledge. Every single activity of day to day life and human behavior and values is...

Persistent link: https://www.econbiz.de/10012046292

A Social Media Recommender System

Sperlì, Giancarlo; Amato, Flora; Mercorio, Fabio; … - In: International Journal of Multimedia Data Engineering … 9 (2018) 1, pp. 36-50

as well. In this article, a recommender system – designed for big data applications – is used for providing useful …. The experiments performed on data collected from several online social networks show the feasibility of the approach …

Persistent link: https://www.econbiz.de/10012046535

Finding Healthcare Issues with Search Engine Queries and Social Network Data

Shahzad, Basit; Lali, M. Ikram Ullah; Mustafa, Raza Ul; … - In: International Journal on Semantic Web and Information … 13 (2017) 1, pp. 48-62

Search engines and social networks are two entirely different data sources that can provide valuable information about … that such data sources can provide vital first-hand information. In this article, they have proposed a methodology for … detecting the information sources from social networks, particularly Twitter. The data filtering and source finding tasks are …

Persistent link: https://www.econbiz.de/10012048251