Evaluation of Social Network Sites

2013 ◽  
Vol 3 (4) ◽  
pp. 28-42
Author(s):  
Francisco J. Miranda ◽  
Antonio Chamorro ◽  
Sergio Rubio

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create his own place in the social network and manage of active form the content that shares and the dialogue that is supported by their followers. In the first part of this paper we explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity and content. The weights for each category were obtained as recommended by a Delphi study conducted with 10 independent experts (community managers and internet marketing experts). In the second part, we applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a higher degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.

Author(s):  
Antonio Chamorro-Mera ◽  
F. Javier Miranda ◽  
Sergio Rubio

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create their own place in the social network and actively manage the content that shares and the dialogue that is supported by their followers. In the first part of this paper, the authors explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity, and content. In the second part, the authors applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a high degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.


2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.


2013 ◽  
Vol 5 (4) ◽  
pp. 34-54 ◽  
Author(s):  
Panagiotis Andriotis ◽  
Zacharias Tzermias ◽  
Anthi Mparmpaki ◽  
Sotiris Ioannidis ◽  
George Oikonomou

While technology matures and becomes more productive, mobile devices can be affordable and, consequently, fully integrated in people's lives. After their unexpected bloom and acceptance, Online Social Networks are now sources of valuable information. The authors therefore use them for tasks varying from direct marketing to forensic analysis. The authors have already seen Social Network Forensics techniques focused on particular networks implementing methods that collect data from user accounts. During the forensic analysis it is common to aggregate information from different sources but, usually, this procedure causes correlation problems. Here, the authors present their method to correlate data gathered from various social networks in combination with smartphones creating a new form of social map of the user under investigation. In addition, the authors introduce a multi level graph that utilises the correlated information from the smartphone and the social networks and demonstrates in three dimensions the relevance of each contact with the suspect.


2020 ◽  
Vol 3 (2) ◽  
pp. 135-150

The present study analyzes fear of crime through social network model. The social network model is delimited to three dimensions i.e., private social network (PrSN), parochial social network (PaSN), and public social network (PbSN). The association and contribution of each of the dimension is estimated through binary logistic regression. Data for the study is collected from 298 out of 1186 employees and students of the Main Campus of Abdul Wali Khan University Mardan, Khyber Pakhtunkhwa-Pakistan. Findings of the study show that the three dimensions are inversely related to the fear of crime. It means that improvement in private, parochial, and public social networks reduces fear of crime. Further, it is observed that private and public social networks are contributing more than parochial social network in reducing fear of crime in Pakhtun society of district Mardan. Thus, it is inferred that social networks through the development of a sense of empowerment among the members decrease fear of crime. Stronger social networks act as a social control mechanism and reduce the likelihood of the occurrence of deviant, and/or criminal behavior in a society


2014 ◽  
Vol 7 (1) ◽  
pp. 74-89 ◽  
Author(s):  
Francisco Javier Miranda ◽  
Antonio Chamorro ◽  
Sergio Rubio ◽  
Oscar Rodriguez

Professional sports teams are increasingly using social networks to better connect their sports and businesses to fans and the general public with the aim of providing team-related information, fostering fandom, and building team reputation. However, few, if any, studies have been done that analyze and evaluate the efficacy of this important portion of the professional sports business model from an informationmanagement perspective. This study employs the Facebook Assessment Index (FAI) to effectively compare, assess, and rank the Facebook sites of top European and North American professional teams. The study also shows how information artifacts in sports can be systematically analyzed, evaluated, and compared. In more general terms, the findings and analysis demonstrate how the information perspective can serve as a novel theoretical lens and important dimension in sport management. The results of the study show large differences between teams in the 3 FAI dimensions and a great improvement opportunity in the use of Facebook as a marketing tool. These results not only serve to create a ranking of sport teams but also can be used by sport managers for social-media-benchmarking analysis.


2016 ◽  
Vol 39 (4) ◽  
pp. 378-398 ◽  
Author(s):  
Rebeca Cordero-Gutiérrez ◽  
Libia Santos-Requejo

Purpose The purpose of this paper is to analyze the underlying differences in the intention to participate in online commercial experiments through the social network considering users’ gender and age. Design/methodology/approach The model of this paper uses two relevant variables, trust and attitude, to test the behavioral intention. There were 269 data sets from social network’s users. Factorial analysis and linear regression were used in the analysis of the data obtained to investigate the differences in gender and age in the intention to participate in online commercial experiments. Findings The results of this paper show that there exist differences among women and men, and among youthers and adults. Women and youthers are the most desirable groups to conduct commercial experiments through social networks. Research limitations/implications From the point of view of the academics, this paper increases the knowledge of social network’s possibilities as a marketing tool. Practical implications This study and its conclusions are relevant for entrepreneurs in any field who want to reach their customers through a horizontal social network because they can improve the online experiments’ profit. Entrepreneurs can know and understand their customers better, taking into account their wishes, tastes and interests through when participating in a commercial experiment. Originality/value This paper describes the possibilities that social networks like Facebook offer entrepreneurs to know the intention of users to participate in an online commercial experiment. Moreover, the differences in gender and age allow in adapting the contents of the online commercial experiments to get better results. In addition, this research contributes to the investigation in the possibilities of social networks as marketing tools.


2019 ◽  
Vol 8 (6) ◽  
Author(s):  
Aleksey A. Nikitin ◽  
Tatyana I. Nikitina ◽  
Irina M. Kravchenko

This paper contains data from statistical studies of foreign agencies on the use of social networks in promoting companies of the B2B segment (Business to business) and their effectiveness. The emphasis was placed on the social network Instagram, as it is one of the fastest-growing platforms for marketing and it has fundamental differences from other social networks. As the main methods for conducting the study, non-participant observation, monitoring of articles and results of marketing research, a comparative analysis of Instagram accounts of B2B companies and quantitative content analysis were used. It is assumed that the chosen methodology most adequately reflects the real specifics of the promotion process in the segment selected for the study. In the process of studying articles of promotion specialists on social networks, the goals of promoting B2B companies, their target audience, the main types of content and other features of maintaining an account for using the Instagram platform as an effective marketing tool were identified and described. As a result of the analysis of statistical data obtained within the framework of various large studies and successful cases on the natural promotion of Instagram accounts of world B2B companies, conclusions were drawn about the effectiveness of using the social network Instagram for the B2B segment


2018 ◽  
Author(s):  
Daniel Arom

Ever since the introduction of social networks in the early 2000s information and communication of ideas have drastically changed in their framing and mediums and also the delivery method between the sender and intended and unintended receivers. Social networks have many distinctive characteristics that demarcate them from SMS (Short Message Service), VOIP (Voice Over Internet Protocol) and the ordinary voice phone call.Early social networks prior to Facebook, Twitter, Instagram and Linkedin included MySpace and Xanga. MySpace which was founded in 2003 was early adaptor to the fundamental concepts we know today like networking, personal framing online and sharing that undermine every social interaction offline and online. Xanga pioneered the highly customizable profile which gave users the option to customize practically any element on their page by accessing the HTML (Hyper Text Markup Language) code of the visual elements they could modify to their own liking and personality, this however required a lot of programming skills and was a set back for the social network’s aim of customizability.In our current state and time in the western world in academic, work and extracurricular activities nearly all of the members interacting are on one social network, if not all that are mentioned. Facebook serves as a social marketing tool for some of its users that frame their lives in a pseudo-happy frame and some let out their problems and grasp Facebook as a personal journal without the confidentiality of a paperback journal. Instagram is visually based social network that aims to extrovert one’s creative skills of being a smartphone photographer. Instagram includes tools that help your photography skills and even provide a toolbox of premade filters set to provide digitally taken photographs with an old-school visual of film photography. Linkedin lets business workers, owners, seekers and entrepreneurs connect to one another in a highly formal manner, something that isn’t found in Facebook, Twitter or Instagram.This research takes the social network Twitter as its content matter due to its significant uniqueness of not being a visually based social network that is prevalent today. Twitter has been known for its straight message transmissions from the sender to the receiver. On Twitter everyone can interact with everyone from celebrities and politicians to farmers and students. This research aims to answer the concept of correlations and trends between Twitter users and their social network scope. Being branded as the “social network for smarter people”, Twitter is relevant to the intellectual property that composes the electronic knowledge base. Twitter is a witty and smart social network; users have 140 characters or less to compose their message.In the below section we present the aimed research questions and likely outcomes of the research known as the hypotheses. Afterwards the methodology used to collect the examined data is presented and our results post-data collection. The conclusion of the paper provides a discussion, conclusion and limitations of the aforementioned study.


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.


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