Inferring trust relationships in the social network: Evidence theory approach

Author(s):  
Soufiana Mekouar ◽  
Khalil Ibrahimi ◽  
El-Houssine Bouyakhf
2020 ◽  
pp. 74-78
Author(s):  
M. Yu. Neshcheret

The article is devoted to the study of professional reader’s interests of library specialists, based on the method of analysis of library blogs and social network Facebook. The author notes the high communication potential of blogs, but emphasizes the instability of this online genre. With the advent of social networks – the author states – blogging as a tool of the Internet communication has faded into the background. At the same time, both library blogs and social networks are good sources of information about the reader’s interests of library professionals. The author distinguishes two blocks of professional reader’s interests, reflecting information needs of this professional group: general professional, caused by belonging to the professional community, and specific caused by private factors. Analysis of library blogs and social networks is the method that allows getting sufficiently objective data that is associated with psychological peculiarities of the network communication, the main of which is its informal nature, predetermined by trust relationships between the participants.


2020 ◽  
Vol 9 (11) ◽  
pp. 204
Author(s):  
Alice Airola ◽  
Martin Bouchard

An unexpected crisis in a criminal organization offers a rare opportunity to analyze whether and how the configuration of business and trust relationships changes in response to external shocks. The current study recreates the social network of the Red Scorpion gang members involved in the Surrey Six Murder, one of the deadliest gang-related homicides to occur in Canada. The event, which involved two bystanders and six victims in total, was the result of a poorly executed retaliation. Our analyses focus on two phases of the network, the conspiracy phase and the post-murder phase. In each phase, we examine the balance of business, trust, and conflictual ties. Results show that the relative importance of key participants changed from the conspiracy to the post-murder phases, whereby strong, trusted ties gained prominence over the mostly business-oriented network of the conspiracy phase.


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>


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.


2020 ◽  
Author(s):  
shariq aziz butt

The paper is Original Research work and done by mentioned author in the article.


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