A Biometric-Secured Neighborhood Vector Relational Coefficient Framework for Social Network Communication

2018 ◽  
Vol 27 (02) ◽  
pp. 1850004
Author(s):  
Jayanthi Sivasubramaniyam ◽  
C. Chandrasekar

Multimodal Biometric has been widely researched to improve social network user communication. Appropriate modeling of authentication and access control is highly required to perform precise system analysis in a social network framework. In this work, a Multimodal Biometric Secured (MBSec) Social Network User Communication framework to provide user authentic social communication in a safe environment is investigated. The multimodal user biometric features (i.e. face and fingerprint) with neighborhood feature pixel dominancy stored in a spatial vector are gene encoded to generate biometric identity keys. The authenticity of user is validated by decoding gene encoded biometric features with biometric identity keys. User relational coefficient is calculated for users, using prior knowledge instances shared between different social users. The social network user’s relational coefficient is sequenced in a matrix to identify the occurrence of authentic user relational social communication. Experiments were conducted using face and fingerprint images collected from BioSecure dataset. Our results demonstrate that the proposed social network user communication framework is able to significantly improve the true positive rate of authenticated users, compared to conventional FR approaches that only make use of a single model. Further, we demonstrate that our MBSec framework has a low social network authentication time and access control time.

Humaniora ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Abitassha Az Zahra ◽  
Eko Priyo Purnomo ◽  
Aulia Nur Kasiwi

The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.


Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5695
Author(s):  
Maciej Stanuch ◽  
Marek Wodzinski ◽  
Andrzej Skalski

Devices and systems secured by biometric factors became a part of our lives because they are convenient, easy to use, reliable, and secure. They use information about unique features of our bodies in order to authenticate a user. It is possible to enhance the security of these devices by adding supplementary modality while keeping the user experience at the same level. Palm vein systems are based on infrared wavelengths used for capturing images of users’ veins. It is both convenient for the user, and it is one of the most secure biometric solutions. The proposed system uses IR and UV wavelengths; the images are then processed by a deep convolutional neural network for extraction of biometric features and authentication of users. We tested the system in a verification scenario that consisted of checking if the images collected from the user contained the same biometric features as those in the database. The True Positive Rate (TPR) achieved by the system when the information from the two modalities were combined was 99.5% by the threshold of acceptance set to the Equal Error Rate (EER).


2018 ◽  
Author(s):  
Colin Camerer ◽  
Anna Dreber ◽  
Felix Holzmeister ◽  
Teck Hua Ho ◽  
Juergen Huber ◽  
...  

Being able to replicate scientific findings is crucial for scientific progress. We replicate 21 systematically selected experimental studies in the social sciences published in Nature and Science between 2010 and 2015. The replications follow analysis plans reviewed by the original authors and pre-registered prior to the replications. The replications are high powered, with sample sizes on average about five times higher than in the original studies. We find a significant effect in the same direction as the original study for 13 (62%) studies, and the effect size of the replications is on average about 50% of the original effect size. Replicability varies between 12 (57%) and 14 (67%) studies for complementary replicability indicators. Consistent with these results, the estimated true positive rate is 67% in a Bayesian analysis. The relative effect size of true positives is estimated to be 71%, suggesting that both false positives and inflated effect sizes of true positives contribute to imperfect reproducibility. Furthermore, we find that peer beliefs of replicability are strongly related to replicability, suggesting that the research community could predict which results would replicate and that failures to replicate were not the result of chance alone.


Author(s):  
Yuri Finkler

Social networking content is characterized by many different aspects that may be of interest to a researcher (e.g., the terminology used in social networks appearing as some content delivery model). However, from the point of view of communicative expediency, we will be interested in the communicative aspect of the circulation of social networks: content creation, message structuring, a specificity of perception of this message by network members, and features of expansion and growth of content. This article aims to elucidate the interconnection and interdependence of traditional media and social networks. To accomplish this, its objectives are: 1) to identify the commonality and difference of content inherent in traditional media and social networks; 2) to understand the structure of the newest audiences formed as a result of the converged communication product; 3) to formulate features of «design» of social networks with the participation of media. The object of the article is the collaboration between media and social networks. The subject of the article is communication models of such collaboration. The methodology of the study is based on the use of general research methods of studying the specificity of the analysis of social and communication phenomena. For media, the phenomenon of participation in social networks means multiplication: not to be present in any network platform — the problem is not social, but of worldview. We argue that participation in the social network is no longer a matter of mediation between the audience and the media, but direct involvement in the life of the audience, adherence to the globalism factor, profile coordination of content. Platforms such as Twitter or Facebook become communications net works with participating citizens from anywhere on the planet. These platforms transform them into a network of employees who, by becoming the so-called «citizen journalists», collaborate with professional media. Moreover, they become authors creating new forms, modes and ways of mass communication: newest slang, content, meanings and so on. Therefore, the phenomenon of social networks guarantees the participating media a social and communication «multiplication». Such participation drives the needs, opinions, and desires of both network members and the audience as a new journalism mission-focused not on the truth for the audience but on the audience as a factor in evaluating the truth. We conclude that society’s progress cannot be made without the process of transforming the structures of the social-communication system and the relations between the participants within that system. Moreover, this progress should take place not so much in the spheres of production, distribution, and consumption of social-communication products as within the influence of the results of social networking activities on the measurement of the behavior of members of society. It is a kind of «design» of social networks. The role of designers in the design of such social networking design is to contribute to the new communication reality. We introduce the term «social network designers». Those carry out the design, planning, step-by-step steps of implementation and calculation of the effectiveness of social-network projects. They must adapt their way of work to the dynamic conditions of functioning of social networks, dynamically optimize their ability to respond to those new ones created by these dynamics. Keywords: communications, content, journalism, internet, media, social network.


2018 ◽  
Vol 19 (1) ◽  
pp. 42-47
Author(s):  
Mariana Lemos Martins

ResumoO presente artigo tem como objetivo discutir aspectos do possível uso das Mídias e Redes Sociais Digitais na perspectiva da Comunicação Organizacional, especificamente, na Comunicação Interna, a partir de pesquisa exploratória. Os avanços tecnológicos são notórios e também fazem parta da Comunicação como um todo. Contudo, o olhar para as Mídias e Redes Sociais Digitais por parte dos gestores é, muitas vezes, pejorativo. No corpo do artigo é feita a análise dos conceitos fundamentais para o entendimento da questão, como Comunicação Organizacional, Comunicação Interna, Mídias Sociais e Redes Sociais. A metodologia de Análise de Conteúdo é aplicada ao corpus de pesquisa, formada pelos artigos encontrados que levam em conta esse determinado assunto e autores reconhecidos da área de Comunicação Social. Conclui-se buscando mostrar a eficiência do uso das Mídias e Redes Sociais Digitais para a melhoria da comunicação interna no ambiente organizacional.Palavras-chave: Comunicação Organizacional. Comunicação Interna. Mídias Sociais. Redes Sociais.AbstractThis article aims to discuss aspects of the possible use of Social Media and Social Network in the perspective of Organizational Communication, but specifically, in Internal Communication, based on Exploratory research. Technological advances are notorious and are also part of Communication. However, the managers’ view of Social Media and Social Networks is often pejorative. In the article, an analysis was performed of the fundamental concepts in order to understand the question, such as Organizational Communication, Internal Communication, Social Media and Social Network. The Content Analysis methodology is applied to research, formed by articles that talk about this particular subject and recognized authors of the Social Communication area. It concludes by trying to show the efficiency of the use of Social Media and Social Network for the improvement of internal communication in the organizational environment.Keywords: Organizational Communication. Internal Comunication. Social Media. Social Network.


Author(s):  
Dong Nie ◽  
Zheng Yan ◽  
Nan Zhao ◽  
Tingshao Zhu

Extensive research reported that only children (“Onlies”) have different daily behavior from children with siblings (“Others”) in the real world. However, little is known about whether Onlies and Others behave differently in the cyber world, especially on the social network. A pilot study has been conducted to compare the behaviors of Onlies and Others on Sina Weibo, a leading social network platform in China. Through analyzing both online Weibo data and survey data from 1792 Weibo users (52% Onlies), several differences between Onlies' and Others' Weibo behaviors were found: Onlies tended to be more willing to express themselves and be more active in social communication within a smaller social circle than Others. More explorations should be done to fully understand these differences between the two groups.


2020 ◽  
Vol 63 (6) ◽  
pp. 1916-1932 ◽  
Author(s):  
Haiying Yuan ◽  
Christine Dollaghan

Purpose No diagnostic tools exist for identifying social (pragmatic) communication disorder (SPCD), a new Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition category for individuals with social communication deficits but not the repetitive, restricted behaviors and interests (RRBIs) that would qualify them for a diagnosis of autism spectrum disorder (ASD). We explored the value of items from a widely used screening measure of ASD for distinguishing SPCD from typical controls (TC; Aim 1) and from ASD (Aim 2). Method We applied item response theory (IRT) modeling to Social Communication Questionnaire–Lifetime ( Rutter, Bailey, & Lord, 2003 ) records available in the National Database for Autism Research. We defined records from putative SPCD ( n = 54), ASD ( n = 278), and TC ( n = 274) groups retrospectively, based on National Database for Autism Research classifications and Autism Diagnostic Interview–Revised responses. After assessing model assumptions, estimating model parameters, and measuring model fit, we identified items in the social communication and RRBI domains that were maximally informative in differentiating the groups. Results IRT modeling identified a set of seven social communication items that distinguished SPCD from TC with sensitivity and specificity > 80%. A set of five RRBI items was less successful in distinguishing SPCD from ASD (sensitivity and specificity < 70%). Conclusion The IRT modeling approach and the Social Communication Questionnaire–Lifetime item sets it identified may be useful in efforts to construct screening and diagnostic measures for SPCD.


2013 ◽  
Vol 44 (2) ◽  
pp. 22
Author(s):  
ALAN ROCKOFF
Keyword(s):  

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.


Author(s):  
V. Kovpak ◽  
N. Trotsenko

<div><p><em>The article analyzes the peculiarities of the format of native advertising in the media space, its pragmatic potential (in particular, on the example of native content in the social network Facebook by the brand of the journalism department of ZNU), highlights the types and trends of native advertising. The following research methods were used to achieve the purpose of intelligence: descriptive (content content, including various examples), comparative (content presentation options) and typological (types, trends of native advertising, in particular, cross-media as an opportunity to submit content in different formats (video, audio, photos, text, infographics, etc.)), content analysis method using Internet services (using Popsters service). And the native code for analytics was the page of the journalism department of Zaporizhzhya National University on the social network Facebook. After all, the brand of the journalism department of Zaporozhye National University in 2019 celebrates its 15th anniversary. The brand vector is its value component and professional training with balanced distribution of theoretical and practical blocks (seven practices), student-centered (democratic interaction and high-level teacher-student dialogue) and integration into Ukrainian and world educational process (participation in grant programs).</em></p></div><p><em>And advertising on social networks is also a kind of native content, which does not appear in special blocks, and is organically inscribed on one page or another and unobtrusively offers, just remembering the product as if «to the word». Popsters service functionality, which evaluates an account (or linked accounts of one person) for 35 parameters, but the main three areas: reach or influence, or how many users evaluate, comment on the recording; true reach – the number of people affected; network score – an assessment of the audience’s response to the impact, or how far the network information diverges (how many share information on this page).</em></p><p><strong><em>Key words:</em></strong><em> nativeness, native advertising, branded content, special project, communication strategy.</em></p>


Sign in / Sign up

Export Citation Format

Share Document