scholarly journals EXAMINATION OF THE FEATURES OF LATVIAN SOCIAL NETWORKS FOR ENSURING COMPETITIVENESS

2017 ◽  
Vol 1 (9) ◽  
pp. 45
Author(s):  
Aleksandrs Larionovs ◽  
Sandra Murinska ◽  
Anda Zvaigzne
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Service Providers ◽  
Document Analysis ◽  
Global Network ◽  
Network Services ◽  
The Social ◽  
Analysis And Synthesis ◽  
A Company

In the era of information, the global network has become one of the ways for expanding entrepreneurship and, consequently, various kinds of network services have emerged as well. Social networks provide the spread of information, the positioning of a company and the company’s communication with its clients. There is competition among such service providers, their services are diverse and the social networking opportunities offered are increasing; accordingly, the present research analyses opportunities to raise the competitiveness of social network services. The research aim is to perform an examination of the features of social networks in Latvia for ensuring the competitiveness of the social networks.The research focused on the social networking features of and the opportunities offered by the following social networks: draugiem.lv, facebook.com, ok.ru, vk.com.The research employed the following methods: analysis and synthesis, induction and deduction, the monographic method, document analysis, the graphic method and the sociological method – a survey.The competitiveness of social networks is mainly determined by the functional diversity and innovations of the social networks. Any social network company has to use innovations to outperform its competitors in an oversaturated market by means of providing new networking features.

Cyber Security and Anti-Social Networking

2011 ◽  
pp. 1286-1297
Author(s):  
Malcolm Shore
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Second Life ◽  
Cyber Security ◽  
Flow Theory ◽  
Theory Model ◽  
Bulletin Board ◽  
Computer Hackers ◽  
The Social

This chapter is about the way in which computer hackers invoke social networking paradigms to support and encourage their activities. It reviews the evolution of hacking as a form of social networking, from its roots in Bulletin Board systems to the current attacks on Second Life, and considers the motivation for hacking. Ajzen’s Theory of Planned Behavior and Beveren’s Flow Theory model are, when considered together, found to explain many of the observed characteristics of early hacker activity. The place of social networks in motivating hacking is explored, and some observations are made in relation to hacking and the Second Life environment. A number of control variables are identified which can be used to reduce the likelihood of people engaging in the hacking activity. Addressing the social network factors which motivate hacking provides an important early step in addressing cybercrime.

The Role of Social Networking in Capital Sourcing

2019 ◽  
pp. 097215091986886 ◽  
Author(s):  
Ameeta Jaiswal-Dale ◽  
Fanny Simon-Lee ◽  
Giovanna Zanotti ◽  
Peter Cincinelli
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Early Stage ◽  
Centrality Measures ◽  
Spontaneous Growth ◽  
Empirical Results ◽  
Road Map ◽  
The Social

The aim of this research is to apply the tool of social network analysis to situations in capital sourcing, including early stage financing. The study is conducted within the social network of Medical Alley Association of Minnesota (MAA). We investigate the correlation between the main centrality measures: closeness, degree and betweenness, and the amount of funding received by the 163 MAA members during 2009–2012. Companies benefit from their social network to get access to better financing. The empirical results also provide a road map to encourage the sponsored or spontaneous growth of other social networks in related fields. Despite the financial crisis, the empirical results show how competition works when firms have established relations with others. Where an intersection occurs is merely an empirical curiosity and the causation resides in the intersection of relations. The relation that intersects on an organization determines the player’s competitive advantage.

Like a Poke on Facebook Emergent Semantics in Location-Aware Social Network Services

2011 ◽  
pp. 909-924
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Systemic Functional Linguistics ◽  
Network Services ◽  
Social Networking Services ◽  
Location Aware ◽  
Social Network Services ◽  
Emergent Semantics ◽  
Iconic Signs

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.

Cyber Security and Anti-Social Networking

2009 ◽  
pp. 183-194
Author(s):  
Malcolm Shore
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Second Life ◽  
Cyber Security ◽  
Flow Theory ◽  
Theory Model ◽  
Bulletin Board ◽  
Computer Hackers ◽  
The Social

This chapter is about the way in which computer hackers invoke social networking paradigms to support and encourage their activities. It reviews the evolution of hacking as a form of social networking, from its roots in Bulletin Board systems to the current attacks on Second Life, and considers the motivation for hacking. Ajzen’s Theory of Planned Behavior and Beveren’s Flow Theory model are, when considered together, found to explain many of the observed characteristics of early hacker activity. The place of social networks in motivating hacking is explored, and some observations are made in relation to hacking and the Second Life environment. A number of control variables are identified which can be used to reduce the likelihood of people engaging in the hacking activity. Addressing the social network factors which motivate hacking provides an important early step in addressing cybercrime.

Visualising Social Networks in Collaborative Environments

2010 ◽  
pp. 817-827
Author(s):  
Stephen T. O’Rourke ◽  
Rafael A. Calvo
Keyword(s):  
Social Networks ◽  
Graph Theory ◽  
Social Network ◽  
Social Networking ◽  
Collaborative Work ◽  
Mathematical Framework ◽  
Web Engineering ◽  
Simple Strategy ◽  
Collaboration Environment ◽  
The Social

Social networking and other Web 2.0 applications are becoming ever more popular, with a staggering growth in the number of users and the amount of data they produce. This trend brings new challenges to the Web engineering community, particularly with regard to how we can help users make sense of all this new data. The success of collaborative work and learning environments will increasingly depend on how well they support users in integrating the data that describes the social aspects of the task and its context. This chapter explores the concept of social networking in a collaboration environment, and presents a simple strategy for developers who wish to provide visualisation functionalities as part of their own application. As an explanatory case study, we describe the development of a social network visualisation (SNV) tool, using software components and data publicly available. The SNV tool is designed to support users of a collaborative application by facilitating the exploration of interactions from a network perspective. Since social networks can be large and complex, graph theory is commonly used as a mathematical framework. Our SNV tool integrates techniques from social networking and graph theory, including the filtering and clustering of data, in this case, from a large email dataset. These functions help to facilitate the analysis of the social network and reveal the embedded patterns of user behaviour in the underlying data.

Like a Poke on Facebook Emergent Semantics in Location-Aware Social Network Services

2010 ◽  
pp. 497-512 ◽  
Author(s):  
Anders Kofod-Petersen ◽  
Rebekah Wegener
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Systemic Functional Linguistics ◽  
Network Services ◽  
Social Networking Services ◽  
Location Aware ◽  
Social Network Services ◽  
Emergent Semantics ◽  
Iconic Signs

Location-aware social network services are set to be the next generation of social networking services. These services typically allow users to send and receive messages and icons. Iconic signs, which look like what they represent, may be said to have a commonly understood meaning attached to them. However, this is fluid, leaving them open to variation in meaning. More precise meanings are free to emerge within specific contexts and within particular social networks. Within this chapter the authors explore the semantics that emerge for three icons used within a location-aware social network service. Using Systemic Functional Linguistics (SFL), focus is given to the dominant speech function attached to each icon and the resultant meanings that emerge within social networks of the systems users. This study allows the authors to better understand how users interact with each other in smart spaces and utilise location information in social network services. By understanding how icons are used to engage others and how the meanings attached to these icons develop, the authors are better placed to create systems that fit naturally and beneficially into the users’ context.

A Study Regarding Human Perception of a Company through Social Media

2019 ◽  
Vol 34 ◽  
pp. 309-314
Author(s):  
Mirona Ana Maria Popescu ◽  
Olivia Doina Negoiță ◽  
Anca Purcărea ◽  
Markus Helfert
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Human Perception ◽  
Social Media Networks ◽  
Online Social Media ◽  
The Social ◽  
Key Indicators ◽  
Different Characteristics ◽  
A Company

Of the utmost importance is finding the social networks that best fit to an industry, a company, its products / services, and last but not least, with the target audience. Each social network has different characteristics and, in addition, a different philosophy.The authors aim to carry out a bibliographic research in this paper to highlight the extent to which social networks are used. As a result, a top of social networks will be built to help raise awareness, promote products, and consolidate a strong customer-company relationship. The authors will also realize a statistical analysis of online social media networks to determine their key indicators, traffic on each platform, time spent by a user on that platform, and other key indicators, through an online tool. The results of this paper consist in presenting two classifications: the first from the perspective of the companies and the second from the perspective of social network users.

scholarly journals Classification of Arabic Twitter Users: A Study Based on User Behaviour and Interests

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Abdullatif Alabdullatif ◽  
Basit Shahzad ◽  
Esam Alwagait
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Interactive Media ◽  
Public And Private ◽  
The Social ◽  
Online Behaviour ◽  
Twitter Users ◽  
Types Of Information ◽  
Interest Similarity ◽  
A Company

Social networks are among the most popular interactive media today due to their simplicity and their ability to break down the barriers of community rules and their speed and because of the increasing pressures of work environments that make it more difficult for people to visit or call friends. There are many social networking products available and they are widely used for social interaction. As the amount of threading data is growing, producing analysis from this large volume of communications is becoming increasingly difficult for public and private organisations. One of the important applications of this work is to determine the trends in social networks that depend on identifying relationships between members of a community. This is not a trivial task as it has numerous challenges. Information shared between social members does not have a formal data structure but is transmitted in the form of texts, emoticons, and multimedia. The inspiration for addressing this area is that if a company is advertising a sports product, for example, it has a difficulty in identifying targeted samples of Arab people on social networks who are interested in sports. In order to accomplish this, an experiment oriented approach is adopted in this study. A goal for this company is to discover users who have been interacting with other users who have the same interests, so they can receive the same type of message or advertisement. This information will help a company to determine how to develop advertisements based on Arab people’s interests. Examples of such work include the timely advertisement of the utilities that can be effectively marketed to increase the audience; for example, on the weekend days, the effective market approaches can yield considerable results in terms of increasing the sales and profits. In addition, finding an efficient way to recommend friends to a user based on interest similarity, celebrity degree, and online behaviour is of interest to social networks themselves. This problem is explored to establish and apply an efficient and easy way to classify a social network of Arab users based on their interests using available types of information, whether textual or nontextual, and to try to increase the accuracy of interest classification. Since most of the social networking is done from the mobiles nowadays, the efficient and reliable algorithm can help in developing a robust app that can perform the tweet classification on mobile phones.

scholarly journals The influence of negative consumer reviews in social networks

2016 ◽  
Vol 4 (2) ◽  
pp. 44-58 ◽  
Author(s):  
Ruti Gafni ◽  
Osnat Tal Golan
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Research Study ◽  
Purchase Decisions ◽  
Sources Of Information ◽  
Consumer Reviews ◽  
The Social ◽  
Facebook Pages ◽  
Buying Decisions

The social networking revolution allows people to share their opinions with their surrounding society, enabling the ability to influence others. Large amounts of consumer reviews are posted on social networks, expressing experiences, either positive or negative, regarding products/services. These reviews are instantly distributed within a huge network of consumers, challenging the firms' managers who need to cope with that. This research study examines the phenomenon of consumers' reviews posted on social networks to measure the influence of negative reviews on the reader's buying decisions and on the firms' attitudes. This research study examines if there are differences between active users, who post and share reviews, and passive users who only read what others posted. This research study was performed merging three sources of information: (1) monitoring consumer posts on three Facebook pages during six months; (2) performing a relevant questionnaire among 201 respondents, and (3) checking the related firms' reaction to those posts. The findings revealed that potential consumers base their decisions on posted reviews; they are exposed to negative reviews that affect their purchase decisions, incoherently to the manner they use the social network (active or passive users), while the firms mostly react, in order to diminish their influence.

scholarly journals The technology of social networks and people management in the recruitment and selection of its employees

2021 ◽  
pp. 74-90
Author(s):  
Ramiro Rodrigues Sumar
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Scientific Evidence ◽  
Face To Face ◽  
The Social ◽  
Recruitment And Selection ◽  
The Impact ◽  
A Company ◽  
Virtual Mode ◽  
Selection Of

Objective: To describe the impact that social networks can have on the recruitment and selection of their employees. Question Problem: How can the social network favor the recruitment and selection of employees of a company? Methodology: Literature review. Results: The evidence of the results showed that technologies through social networks can be relevant for the recruitment and selection of people for the organization. But this recruitment should be done with a differentiated look at each type of social network by the recruiter. Final Considerations: Recruitment and selection have been changing as a traditional (face-to-face) way for the technological (virtual) mode. The study mentioned that social networks are tools capable of bringing to the recruiter candidates able to take the organization responsibly and that there are no barriers in the virtual world to find the ideal candidate. It is emphasized the importance of extending this study based on scientific evidence, in which research can be carried out in companies for the use of social networks in the monitoring of their employees.

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