scholarly journals Analysis of Competition Fronting the Popularity of Content in Social Networks

Author(s):  
Siham Hafidi ◽  
Mohamed Baslam ◽  
Rachid El Ayachi

In recent years, on the Internet, there is a real phenomenon: the development of social networks that are becoming more popular and more used. Social networks have millions of users worldwide. This provides an opportunity for companies to reach out a large and diverse audience for their advertising campaigns. They do this by creating and spreading content across the social network, which will increase the chance of visibility for their contents, which for them is the assurance of being popular. Every content requires time to reach a specific destination on the networks. In this article, we study competition between several contents that look for attracting more consultations, each characterized by some given popularity. There is competition between the contents of a limited set of destinations. We first model our system, we then study the competition between contents by using the game theory to analyze this behavior. We finally provide numerical results, which provide insights into the effect of various parameters of the system.

2013 ◽  
Vol 8 (1.) ◽  
Author(s):  
Slavica Vrsaljko ◽  
Tea Ljubimir

SMS messaging and communicating on social networks are increasingly widespread forms of informal communication. Mobile phones have almost all, and in addition they open profiles on the Internet social network, corresponding in this way with their peers. In writing messages is being recorded a large number of spelling errors, most of errors are those whose adoption is foreseen in the the lower grades of elementary school. In order to determine the level of mastery of linguistic norms, the message will be analysed as well as comments from the social networks of fourth-grade students.


Author(s):  
Connie Browning Budden ◽  
Michael Craig Budden

<p class="MsoNormal" style="text-align: justify; margin: 0in 0.5in 0pt;"><span style="font-size: 10pt;"><span style="font-family: Times New Roman;">Tens of millions use social networks on a regular basis.<span style="mso-spacerun: yes;">&nbsp; </span>Social networks encourage the sharing of information, photos, videos, accomplishments, and experiences via the internet.<span style="mso-spacerun: yes;">&nbsp; </span>Their wide-spread and increasing usage especially among young people has been well-documented.<span style="mso-spacerun: yes;">&nbsp; </span>Individuals who have started such networks have become wealthy as sites have gone public.<span style="mso-spacerun: yes;">&nbsp; </span>Businesses are increasingly becoming involved in the networks as they realize the large following that the networks have generated and the fact that such networks can be sources of useful information on which to base decisions.<span style="mso-spacerun: yes;">&nbsp; </span>Social networks and individual members who utilize such networks are becoming increasingly aware that there are advantages and disadvantages to such usage. Network users need to be aware that postings on these networks are being scrutinized in ways those posting the information had not imagined when they signed on. <span style="mso-spacerun: yes;">&nbsp;</span>Firms increasingly are investigating applicant users through the networks. Indeed, human resource managers have more tools and investigation avenues at their disposal now than ever before.</span></span></p>


2011 ◽  
pp. 651-660
Author(s):  
Mahesh Raisinghani ◽  
Elon Marques

This chapter is focused on some of the current research being conducted in the field of social network theory. The importance of studying the social network concepts is attached to a better understanding of individuals and how and why people interact with each other, as well as how technology and the Internet can affect this interaction. The social network theory field has grown significantly in the last years, and the use of the Internet and advanced computing technology has contributed to new research in this growing area. The first aspect to be covered is the social network theory and some applications for social networks. Also virtual communities, as well as the control over communications tools through social networks will be discussed. Finally, the technology side of social networks will be presented, as mobile social networks, internet social networking systems and e-business correlation, social network software and future trends of social networks. The main objective of this research is to illustrate the correlation between electronic (e-) business (of which e-government is a subset) and social networking.


Author(s):  
Edward Cartwright ◽  
Thomas Singh

The benefits accruing from social networks and structures have been shown to correlate with economic performance at both the macro- and micro-levels. Indeed, social capital can be seen as a catalyst through which human and physical capital are utilized and political and economic freedom realized. In this chapter, the authors briefly review the broad extant literature on social capital before embarking in more detail on how game theory can be used to analyze and model social capital. Particular attention is given to the population game approach. This approach is well suited to model social capital as it allows us to capture individual behaviour, societal influence, and network structure. The growth of social capital is seen to depend on the incentives for cooperation, the way in which people learn from past experience, and the inter-connectedness of the social network. A particularly important question for many emerging economies is how social capital can be encouraged to grow from a low base. In a concluding section, which includes a discussion of the complementarities between strong institutions and social capital, the authors use the population game approach to study this issue.


Author(s):  
Mahesh Raisinghani ◽  
Elon Marques

This chapter is focused on some of the current research being conducted in the field of social network theory. The importance of studying the social network concepts is attached to a better understanding of individuals and how and why people interact with each other, as well as how technology and the Internet can affect this interaction. The social network theory field has grown significantly in the last years, and the use of the Internet and advanced computing technology has contributed to new research in this growing area. The first aspect to be covered is the social network theory and some applications for social networks. Also virtual communities, as well as the control over communications tools through social networks will be discussed. Finally, the technology side of social networks will be presented, as mobile social networks, internet social networking systems and e-business correlation, social network software and future trends of social networks. The main objective of this research is to illustrate the correlation between electronic (e-) business (of which e-government is a subset) and social networking.


Author(s):  
Alexander Viktorovich Melnikov ◽  
◽  
Yulia Adolfovna, Kosikova ◽  

The Most well - known social software applications are blogs, wikis, social networks, and instant messaging. The social network is described as a convergence of technologies, which means that individuals can easily communicate, select information, and form new communities on the Internet. The rapid growth of social networks is forcing companies to step up their activities in traditional CRM systems. One of the important advantages of the Internet is the creation of an active contact between stakeholders, making it easier for businesses to get feedback from their customers, which allows them to more effectively identify customer needs and develop corrective actions.


Author(s):  
Sanjay Chhataru Gupta

Popularity of the social media and the amount of importance given by an individual to social media has significantly increased in last few years. As more and more people become part of the social networks like Twitter, Facebook, information which flows through the social network, can potentially give us good understanding about what is happening around in our locality, state, nation or even in the world. The conceptual motive behind the project is to develop a system which analyses about a topic searched on Twitter. It is designed to assist Information Analysts in understanding and exploring complex events as they unfold in the world. The system tracks changes in emotions over events, signalling possible flashpoints or abatement. For each trending topic, the system also shows a sentiment graph showing how positive and negative sentiments are trending as the topic is getting trended.


Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others.


2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.


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