A Social Education Network Based on Location Sensing Information Using Smart-Phones

In the context of growing interest in both Mobile-Internet convergence and Web 2.0 social technologies, this article investigates the business opportunities derived from offering Social Applications in the convergent scenario, particularly regarding Social Network and Content Sharing services. Given the business model structural deficiencies identified in literature for this type of convergent services, the investigation is oriented towards the role of the technology delivery channels (either Internet and/or Mobile) and revenue appropriation strategies. A mixed-methods research strategy was employed consisting of a cross-sectional survey of 124 Social Application services offered in Spanish language and seven case studies with representative Social Network and Content Sharing services. While the aim of the survey was to map and identify the overall main characteristics and business model dimensions of Social Applications, the case studies' objective was to understand the strategic reasoning behind business model design and evolution. The research offered a detailed view on the dynamics of Social Network and Content Sharing services, showing how the revenue strategies are tightly linked to the technological delivery channel. Finally, six critical success factors for business models of Content Sharing and Social Network services were identified.

Social network service is very popular all around the world. Global social network service assists Chinese users to have more friends from different countries. Friend-making on social network service is not systematically documented and reported for Chinese. Making friends in social network service and making friends in real life include similar activities such as invitation, knowledge sharing and communication. Almost everything users can do in real life can be done through internet. For example, in social network service E websites such as Facebook users can share a photo with their friends as they do in real life. The difference between making friends in social network service and in real life exits on the way how these activities are done. For example, in real life photo sharing is usually accompanied with a face-to-face talking while in social network service it is mainly the online comments on the photo. Therefore it is interesting to find if Chinese user behavior on social network service is consistent with that in real life.Thus it is necessary to design social network service with consideration of Chinese usage pattern. For example, as Chinese tend to have more virtual friend social network service websites can recommend. Social network website can use online activity such as “campus star” to require Chinese user to explore other’s home page or use “explore” button to have user randomly go to strangers’ homepage. More virtual communication style can be added to increase ease of use. For example voice and video message can be applied in social network service in addition to text message.The result indicates that the Chinese participants have more virtual friends than German participants while German users contact their friends more often in real life. There is no big difference between Chinese and German participants on communicating with their friends and sharing information. The result shed light on future research on Chinese friend-making behavior on social network service and user interface design for Chinese.

This paper presents an adaptive e-learning system which supports collaborative learning based on a location-based social network and semantic modeling. In the system, a social network among e-learning learners is dynamically constructed on the basis of the location information of learners using GPS sensors for collaborative learning. In addition, user modeling for semantic social network and adaptive e-learning is supported. For these, a mechanism that supports the construction of a dynamic social network using the location information of smart phones is provided. The user modeling for the construction of a semantic social network and the support of adaptive e-learning considers the information such as the users' achievement, preference, and learning goal. Through this system, e-learners can find mentors who are able to facilitate their learning and create communities for collaborative learning offline and online. The support of a location-based social network service and semantic user model in our system would increase interactions among e-learners and improve satisfaction regarding their mobile learning environment.

The purpose of this study is to explore the experience of the consultant’s usage on social-network and the subsequent decisions made To this end, the following four issues will be the focus of this research: the motivation and current state of the consultant’s usage on social networking sites; the consultant’s personal decision-making considerations on social networking sites; the challenges faced by the consultant on social networking sites; the consultant’s perspective on “the usage on social networking Accordingly, the research methods used will be purposive sampling and semi-structured in-depth interviews. First, six consultants would be invited to participate in the research on the usage for social networking sites. Next, the data collected through interviews would be organized, summarized and analyzed with grounded theory. Finally, the results of the study will be discussed comprehensively. Interviewee responses to the research questions: 1.The motivation and current state of the consultant’s usage on social networking The motivation for the respondents to apply for a social networking site is to interact with friends. The current state of the respondents’ usage on social networking can be summarized as follows: respondents who have long term experience in social networking will have more than one personal site; the direction of writing and the presentation of content, will be affected by the features of social networking sites, which also affects the relationship with the audience. Furthermore, the micro-blog type community site has become an integral part of the respondents’ lives. 2.Consultant’s personal decision-making considerations on the usage on social networking There are several considerations that factor into the consultants’ decisions when using the social networking sites: openness of the community site itself, ease of to spreading on the network, convenience for browsing, privacy of their own and others, personal confidentiality and protection of personal rights and interests. Furthermore, the potential ability of social networking to influence others is an important consideration for consultants due to their roles and responsibilities. 3.The challenges faced by the consultants on social networking (A)Respondents experienced negative emotions after prying into certain cases on social networking out of curiosity. (B)Respondents with the aforementioned experience tend to readjust their perspective and actions on social networking sites. 4.The consultant’s perspective on “the usage on social networking sites (A)Consultants should not be denied the right to use social networking due to their profession. However, consultants should use such with professional integrity. (B)The ability of consultants to understand the purpose of using social networking and the information to be conveyed would enable them to have a clear concept of appropriate message content. (C)Consultants would be able to avoid posting inappropriate messages on social networking if they have a good sense of self-awareness, and are able to reflect and assess the issue on hand. (D)Consultants need to pay attention to the content of messages on community websites as they have no control over the audiences’ interpretation of it. (E)Consultants should remain professional on social networking and this includes refraining from criticisms and inferences. Discoveries derived from analysis of the interview data: 1.Psychology consultants deem that social networking have become an interactive tool that is indispensable in both life and work 2.Psychology consultants’ value of individual privacy and are conscious of their input on social networking site. 3.Psychology consultants create an identity and role for themselves through the Internet and social networking 4.Psychology consultants are affected by their professional role and ethics responsibilities when using social networking sites. 5.Psychology consultants tend to be concerned over how individuals perceive the information they posted on social networking sites. 6.Psychology consultants believe that their messages on social networking may subconsciously affect the discussion on these sites. 7.Psychology consultants are influenced by their training in ethics and this makes them extra cautious when using social networking sites. 8.Psychology consultants tend to attempt to separate the “professional” and the “personal” on social networking sites. The following conclusion can be drawn from the above research and analysis of the results: 1.Recommendations for consultants (A)The importance of the effects of personal network-related messages on the consultant’s profession, work and case relationship (B)The intention usage, and function of social networking requires care and consideration. (C)In cases of ethical dilemma, consultants should seek advice and discussion with other professionals. 2.Recommendations for consultants’ training programs (A)Inclusion of Internet knowledge in training programs so consultants are familiar with its potential. (B)There should be a focus on the ethics training of consultants. 3.Recommendations for the future research (A)Public opinion on consultants’ usage of social networking sites. Consultants’ years of service can be included as a factor in the study.

A social network represents a set of social entities that interact through relationships like friendship, co-working, or information exchange. Social Network Analysis studies the patterns of relationships among social entities and can be used to understand and improve group processes. The arrival of new communication tools and networking platforms, especially the Web 2.0 Social Networking Services, opened new opportunities to explore the power of social networks inside and outside organizations. This chapter surveys the basic concepts of social networks methods, approaches, tools, and services. In particular, this chapter analyzes state-of-the-art social networks, explaining how useful Social Network Analysis can be in different contexts and how social networks can be represented, extracted, and analyzed in information systems.

A social network represents a set of social entities that interact through relationships like friendship, co-working, or information exchange. Social Network Analysis studies the patterns of relationships among social entities and can be used to understand and improve group processes. The arrival of new communication tools and networking platforms, especially the Web 2.0 Social Networking Services, opened new opportunities to explore the power of social networks inside and outside organizations. This chapter surveys the basic concepts of social networks methods, approaches, tools, and services. In particular, this chapter analyzes state-of-the-art social networks, explaining how useful Social Network Analysis can be in different contexts and how social networks can be represented, extracted, and analyzed in information systems.

The aim of this study is to reveal Open Education related social media usage in Turkey through social network analyses. To this end, the most widely used social media network in Turkey, Facebook, was chosen. All the pages and groups created on Facebook related to Open Education were found. A total of 207 groups and 521 pages were accessed and entered into the social network analysis. Within the scope of this study, the density and centrality features of the network were analyzed for groups whereas the density, centrality, and degrees features of the network were analyzed for pages. The study's results revealed that while pages and groups related to programs emphasizing current job opportunities and student support services were more actively used, commercial accounts attempted to exploit students' exam anxiety instead of generating actual content. The findings also revealed that well structured institutional pages appeal to students and have the potential to reach high levels of popular in short periods of time.

The intensive development of new information and communication technologies (ICT) has led to major changes in society. The widespread use of smartphones and mobile communications has allowed today to create new programs and services to improve human life. This development changes the established habits of human communication, the relationship between society and the environment. A social networking service (SNS) is a service (on a website or through a mobile application) that allows users to share a personal profile and establish contacts with other users. Social networking services affect the territorial organization of society and can be used for the development of both settlements and entire territories to make their development more sustainable and balanced. The study of social networking services is currently on the rise. The joint efforts of many sciences (sociology, psychology, geography, mathematics, statistics, computer science, etc.) are needed to understand the subject essence of the phenomenon and to analyze data. Approaches to the study of social networking services can be divided into three large groups: 1) in terms of human relations and relationships; 2) in terms of content distributed on the network; 3) in terms of spatial aspects of the functioning of the social network. In Ukraine, there are no detailed studies of the spatial aspects of the spread of social networking services at the local level. In the Ternopil region, there is a pattern of concentration of the majority of Facebook and Instagram users in the largest cities, namely Ternopil, Chortkiv, Berezhany, Kremenets. Buchach, Borshchiv, Zalishchyky, Terebovlya, and Shumsk districts stand out among the districts by the number of users. An important indicator that characterizes the spread of social networking services is the penetration rate of the social network, which is calculated as the ratio of the number of users in a certain territory to the population living in it. Cities of regional subordination differ in terms of the penetration rate of SNS. The highest values were observed in Chortkiv, Ternopil, Kremenets cities. The penetration rate of social networking services in the administrative districts of Ternopil region is much lower. A relatively high rate (over 30%) was recorded in Buchach, Berezhany and Shumsk districts. Extremely low penetration rate (less than 5%) is in Zbarazh, Chortkiv, Zboriv districts which are adjacent to the cities of regional subordination. The social networking service Instagram is inferior to Facebook in level of development, and its main users are mainly young people. However, in the territories where the rate of Facebook penetration is the lowest in the region (Ternopil, Zbarazh, Chortkiv, Zboriv districts), the predominance of Instagram is noted. Thus, the main patterns of spatial distribution of SNS’ Facebook and Instagram in Ternopil region are: concentration of users in the largest cities, especially in the regional center Ternopil City (half of Facebook and Instagram users in the region); the number of users is proportional to the population in the territorial unit; small number of users and low penetration rate of the SNS’ in the administrative districts adjacent to the cities of regional subordination Ternopil and Chortkiv; among administrative districts, higher indicators of social network development are typical for northern and southern districts in comparison with central ones. Key words: social networking service (SNS), penetration rate of the SNS, Facebook, Instagram, Ternopil region.

Online Social Network’s (OSN especially Face book has experienced a growth in recent years. A social networking service is an online service, platform, or site that focuses on facilitating the building of social networks or social relations among people who, for example, share interests, activities, backgrounds, or real-life connections. A social network service consists of a representation of each user (often a profile), his/her social links, and a variety of additional services. Most social network services are webbased and provide means for users to interact over the Internet, such as e-mail and instant messaging. Online community services are sometimes considered as a social network service, though in a broader sense, social network service usually means an individual-centered service whereas online community services are group-centered. Social networking sites allow users to share ideas, activities, photos, videos, statuses, events, and interest within their individual networks. KeywordsCollaboration management, malicious activities, multiparty access control, social network.

Whether in terms of social media platforms, mobile pay apps or an increasing acceptance of RFID chips in humans, technology has transformed everyday life for consumers. Social networks have experienced enormous growth as online personal networking media. Social exchange theory (for motivation and social reward) and theories of collective action can be applied in order to understand how an individual’s behavior may exert effects on or receive influences from other users with regard to the continuance usage intention of social apps. First, this study aims to examine behavioral characteristics of the Millennials, and takes flow and social reward systematically so as to explore SNS users’ continuance based on SNS characteristics. Targeting Millennials SNS users, this study empirically examines users’ continuance intention at individual level and simulates users’ continuance behavior at group level, which are expected to be influential as a next generation of purchasing group, focusing on social network services (SNS) usage. Second, this study tries to suggest strategic implications by identifying key factors that dominate SNS users’ behavior in the process of experiencing SNS. For the empirical purpose, this study analyzes the relationship between SNS characteristics (motivation to use, density, and centrality) and usage behavior (flow, social reward, and continuous intention to use). As a result, each construct of motivation to use SNS, SNS density, and SNS centrality are positively linked with flow. Motivation to use SNS and SNS centrality are positively associated with social reward, however, SNS density does not have a significant effect on social reward. In addition, flow and social reward turn out to have positive linkage with continuous intention to use respectively. The findings of this study are expected to provide implications for researchers and operators in related fields to identify various factors that explain the SNS usages of the Millennials, especially the major factors that sustain SNS involvement and activities. This study can enrich both SNS continuance theory, and help SNS operators to manipulate resources effectively to attract and retain users.

An effective interaction between the Social Network Services (SNS) and Cloud Computing (CC) enables the connection of people to the ubiquitous computing universe. The integration of SNS and CC is a technological revolution that presents the future of connectivity and reachability. This study explores the novel paradigm for future Internet of Things (IoT). Although there have been some studies in social-driven IoT, they merely consider the CC technique to improve service qualities and influences. In this study, S. Kim develops a novel cloud based SNS control scheme based on the reinforcement learning approach. To maximize the total SNS system performance, social services have been adaptively executed in the cloud system while taking into account the social welfare. This study can capture the properties of SNS and CC, and provides an effective solution for the social cloud system.

It is common for users of social networking sites and services (SNS) to suffer from technostress and the various associated strains that hinder their well‐being. Despite prior SNS stress studies having provided valuable knowledge regarding SNS stressors and their use consequences, they have not examined the various strains related to well‐being that those stressors can create nor the underlying SNS characteristics. To address this gap in the research, we used a qualitative approach involving narrative interviews. As a contribution, our findings reveal four types of strains related to well‐being (concentration problems, sleep problems, identity problems, and social relation problems) as well as two different patterns with distinct sets of SNS stressors and SNS characteristics that generate those strains. As practical implications, the findings of this study can help technostressed users to identify their strains, understand their underlying SNS characteristics and SNS stressors, and increase the possibility that they will be able to avoid the strains in the future.

Background: It is crucial for companies to understanding users’ choices and learning behaviors, and the corresponding influencing factors and cognitive patterns regarding social network services to communicate with potential customers.Methods: In this study, a casual structural model was constructed and developed to model and characterize the relationships between problems to be resolved as antecedent variables and success factors as consequent variables with the intermediary variables based on human learning behaviors, whereas the concept of social network service was introduced to summarize the current issues of social network services and empirically factors affecting effectiveness of social network services.Discussion: This study highlighted the corporate need to examine the intelligent role and learning effectiveness of social network services when studying social creativity and intelligence in a social networking environment. Firstly, the framework and hypotheses of social network services were introduced to summarize the current issues of social network services and the main influencing factors affecting the working patterns of social network services. Subsequently, the empirically established model was further tested to explore the possible meaningful relationships among those variables used.Results: The study revealed that the social network services provider and the customer should improve their social creativity and community collaboration; these could be expanded and enhanced by increasing the social intelligence to raise the social network services’ effect and the customer’s externalization. Furthermore, social intelligence, community collaboration, and customer externalization were factors significantly influencing customers’ social creativity, while the customer externalization and community collaboration were the two important factors affecting social intelligence.Conclusion: The study implied that social network services providers should provide more and more intelligent and inspiring services for their customers.

SNS (social networking services) is a significant platform for Internet users to get knowledge and information , and users can share messages mutually via this platform. This kind of sharing can make user exchanges and gain useful information to benefit themselves. However, in recent years, the crisis of stickness has appeared in SNS, which raised the attention of the social network industry. Relevant professionals explain that most users may gradually reduce the interest of sharing knowledge on SNS websites and applications and then give it up because the platforms utilize simple and uninterested methods to attract the users to participate actively on them. But factors influencing the knowledge sharing on SNS websites and applications should be identified clearly through researches. Sina Weibo is one of the largest SNS platforms in the world, and the researches on the factors influencing the knowledge sharing of users could be valuable for the issue. This paper establishes the theoretical analysis model of knowledge sharing in SNS sites and applications, analyzes the influencing factors of knowledge sharing on them, and puts forward the corresponding strategies thereof. With the questionnaire surveys of Sina Weibo users, this article will discuss the influencing factors of knowledge sharing, and analyze the influencing factors on social network site as well as improving the stickness of users, so as to achieve the aim that SNS platforms capable of expanding the mount of users. It will firstly discuss the theoretical foundations, from which the hypotheses are put for. After that, the method of the study is discussed. Finally, it would be concluded with the theoretical implications, practical implications, limitations, and future researc h opportunities. The results of this study could be helpful for researchers in understanding the underlying reasons for social network activities as well as for SNS developers in improving SNS services.

The aim of the study is a practical analysis of social network services as a place to store multimedia resources that allow you to store and share digital photos, audio and video recordings, text files, presentations, and organize resource discussions for free. They can be used as educational materials (educational videos, photos on various topics, audio and video recordings of scientists' speeches, eyewitnesses of events, etc.), as well as means to store student video, photo, audio files and creative works. Method. Theoretical materials of the research are the best practices of foreign and domestic scientists in the field of network communications and their impact on the future specialists preparing in geography and tourism, namely articles, monographs, abstracts, dissertations. The study uses the method of theoretical materials analysis, as well as methods of observation, abstraction in identifying the qualification characteristics of social Internet networks. Content analysis (analysis of the social networks community messages content); statistical and comparative information analysis was carried out. Empirical research on the social Internet networks lies in creating and filling a community on the social Internet network, as well as engaging students in that community. Results. In the research it was found out that social networks can be used to solve the following tasks: to organize the collective work of students in the classroom (and outside it), which will be favourable to the communication, to gain the team experience; to ensure the development of the students personalized learning environment; to promote students independent learning, as everyone works in his own rhythm; to promote informal communication between the tutor and the students; to change the tutor's role, who will become an assistant, friend, mentor; to create digital educational content of the disciplines. The scientific novelty of the obtained results lies in the fact that on the comprehensive analysis of social internet networks, internet blogs, tourist internet resources basis, their place and role in the information and educational environment of higher education institutions are determined, in particular: the specifics of the content, prospects and mechanisms of the development of the social Internet networks from the point of view of training future tourists are determined; the dependence of the functions of the Social Internet Network, Internet blogs on their structural elements is established. Practical significance. The obtained scientific results are used in the educational process of future specialists in the field of training "Tourism", with the educational qualification "tourism expert, organizer of excursion and animation activities" when teaching the disciplines "study of local lore and tourism", "tourist work", "recreational geography", "geography of Ukraine", "professional competencies in tourism business", "organization of tourist activities". The research practices can be used to conduct tourist, museum, local history, excursion and other types of student's practice.