Social Networking Web Research Articles

Evolving in the Shadows: A Media Ecology Study of Dark Web Social Networks

This study conceptualizes dark web social networks (DWSNs) through the lens of media ecology theory. We synthesize existing literature to problematize a lack of understanding of DWSNs as a communicatively organizing system. The discussion then focuses on how DWSNs complement, compete, and hybridize with surface web social networks (SWSNs). This Interaction shapes DWSNs as communities of practice that both serve and evolve with the communicative and informational needs of their users. We introduce and elaborate two media-ecological concepts of DWSNs: (1) a medium that has become a message of antithesis to Web 2.0 and (2) an organism that has coevolved with SWSNs. An empirical indicator to explicate these two concepts is The Hub, one of the long-lasting DWSNs. The Hub serves as an example to juxtapose DWSNs with SWSNs, with a focus on their intermedia relationship, and characterize the symbiosis between DWSNs as hosts and their users as living organisms.

S.U.S. You’re SUS!—Identifying influencer hackers on dark web social networks

Dark web is an obscured part of the Internet, specifically used for sharing exploits, data breaches, and other means of cybercrime. Dark web forums provide opportunities to share such data and exploits and assign user reputation and credibility through participation in discussions and sharing data, exploits, and hacks. Such activities can help develop metrics to enable identification of influential mal-actors facilitating efficient and effective defense against emerging cyber threats, particularly zero-day exploits. This paper proposes an AI-inspired framework to identify influencers on dark web social networks (INSPECT) through intelligent analysis of user-profiles, interactions, and other activities. INSPECT framework leverages Feature Engineering, Social Network Analysis, Semantic Analysis, and K-means clustering and calculates an influencer score representing the users’ significance within these forums. INSPECT has been evaluated using CrimeBB dataset comprising user profiles and activities within dark web forums to assess its effectiveness in identifying influential users on the dark web forums.

An Effective Algorithm to Improve Recommender Systems using Evolutionary Computation Algorithms and Neural Network

The growing Internet access and easy access to it have resulted in a significant increase in e-content, which, along with many benefits, has caused problems for users. Internet users simply cannot find the content they need from this massive amount of data. Users are faced with a lot of suggestions for choosing goods, buying items, selecting music and videos, and more. Advantage systems can be used to overcome these problems. Today, with the spread of people’s use of cyberspace, such as web sites and social networks, and increasing the need for conscious and clever selection of people, recommender systems has been extensively investigated. Although the neural network can identify the connections between the inputs and outputs of a dataset, but in order to achieve the proper performance of the neural network, a proper structure should be considered. We will use the mantle algorithm to determine this structure. The mantle algorithm is a form of traditional genetic algorithm that uses local search to reduce the time to achieve optimal response. Genetic algorithms are created to search across the search space, while the local search, the neighborhood of the neighborhood, finds every response found by the genetic algorithm to find better answers. This algorithm seeks to find the optimal values for the parameters of the neural network method, so optimal solutions of the memetic algorithm is considered to be used to set parameters for the neural network method. The results of this study show the desirable performance of the proposed approach in this study.

Hermeneutic phenomenology for spatial analysis

PurposeFrom scholars' view, there are various research approaches to investigate the city and its spaces. However, there is a need to examine the city and its spaces from the residents' perspective. Hermeneutic phenomenology might be applicable and valuable. Also, communication is a requirement for successful participatory planning and spatial analysis. Architects, urban designers and landscape architects must possess intersubjective competencies to communicate and engage with the public. Hermeneutic knowledge is the source for developing these intersubjective capabilities essential for communication. All design preparation and execution steps require distorted-free communication, starting with defining a problem and ending with implementation, monitoring and evaluation.Design/methodology/approachThe paper aims to test the applicability of hermeneutic phenomenology in urban studies. The author examines the right to the city and producing space in Cairo, Egypt. Besides web pages, documents and social networks, data sources vary, including proverbs and poems. Semiotics is the qualitative research technique used to interrogate the collected material using qualitative data analysis software.FindingsCairo's growth is the outcome of the division of labor, administration and power dynamics. Egyptians' right to take part in Cairo's planning and management is the issue. Hermeneutic phenomenology is an approach to perform spatial environmental investigations. It could inform decision-making, ensure the planning process's validity and guarantee people's ownership of planned projects.Originality/valuePhenomenology allows for inside and outside the understanding of a spatial phenomenon. The current focus of architectural and planning schools' curricula is on technical actions. These schools consider increasing the dose of social sciences in their curricula. Educators could teach students how to use hermeneutic phenomenological research methodologies. Using hermeneutic knowledge in communication encourages public engagement in formulating and implementing projects, thus ensuring their long-term viability.

Opinion Dynamic Modeling of News Perception

During the last decade, the advent of the Web and online social networks rapidly changed the way we were used to search, gather and discuss information of any kind. These tools have given everyone the chance to become a news medium. While promoting more democratic access to information, direct and unfiltered communication channels may increase our chances to confront malicious/misleading behavior. Fake news diffusion represents one of the most pressing issues of our online society. In recent years, fake news has been analyzed from several perspectives; among such vast literature, an important theme is the analysis of fake news’ perception. In this work, moving from such observation, I propose a family of opinion dynamics models to understand the role of specific social factors on the acceptance/rejection of news contents. In particular, I model and discuss the effect that stubborn agents, different levels of trust among individuals, open-mindedness, attraction/repulsion phenomena, and similarity between agents have on the population dynamics of news perception. To discuss the peculiarities of the proposed models, I tested them on two synthetic network topologies thus underlying when/how they affect the stable states reached by the performed simulations.

A Study on Advertisement and Efficiency in Indian Advertisement Industries

Advertising could be a powerful communication force and important selling tool serving to to sell goods, services, images, and ideas through channel of knowledge and persuasion. It is highly visible force within the society. All people receive several advertising messages daily. It is essential to the success of any sort of business and business. Non-business organization like government, school and universities, and Public Service teams employ a lot of and a lot of advertising ways. It’s one of the elements of the selling and communication method. Advertising win over folks to shop for merchandise. All advertising contains each info and persuasion. Nowadays we are able to say advertising could be a communication, marketing, public-relation, info and persuasion method. This study is to look at however a client connects with promotional techniques utilized by advertising business in India. The advertising business in India is dynamic at a really quick pace. The promotional techniques that square measure currently being employed by the businesses is that specialize in a social cause and mistreatment folk as their whole representatives instead of mistreatment celebrity faces. Television, typically known as “king” of the advertising media has been perpetually facing challenges from not solely the digital medium, however conjointly from the web ads and social networking sites .In alternative words we are able to say that it's a complete psychological treatment of the buyer and a really artistic and exciting area also.

A Study on Advertisement and Efficiency in Indian Advertisement Industries

Advertising could be a powerful communication force and important selling tool serving to to sell goods, services, images, and ideas through channel of knowledge and persuasion. It is highly visible force within the society. All people receive several advertising messages daily. It is essential to the success of any sort of business and business. Non-business organization like government, school and universities, and Public Service teams employ a lot of and a lot of advertising ways. It’s one of the elements of the selling and communication method. Advertising win over folks to shop for merchandise. All advertising contains each info and persuasion. Nowadays we are able to say advertising could be a communication, marketing, public-relation, info and persuasion method. This study is to look at however a client connects with promotional techniques utilized by advertising business in India. The advertising business in India is dynamic at a really quick pace. The promotional techniques that square measure currently being employed by the businesses is that specialize in a social cause and mistreatment folk as their whole representatives instead of mistreatment celebrity faces. Television, typically known as “king” of the advertising media has been perpetually facing challenges from not solely the digital medium, however conjointly from the web ads and social networking sites .In alternative words we are able to say that it’s a complete psychological treatment of the buyer and a really artistic and exciting area also.

Efficient Vector Partitioning Algorithms for Graph Clustering

This paper addressed the problem of finding clusters included in graph-structured data such as Web graphs, social networks, and others. Graph clustering is one of the fundamental techniques for understanding structures present in the complex graphs such as Web pages, social networks, and others. In the Web and data mining communities, the modularity-based graph clustering algorithm is successfully used in many applications. However, it is difficult for the modularity-based methods to find fine-grained clusters hidden in large-scale graphs; the methods fail to reproduce the ground truth. In this paper, we present a novel modularity-based algorithm, \textit{CAV}, that shows better clustering results than the traditional algorithm. The proposed algorithm employs a cohesiveness-aware vector partitioning into the graph spectral analysis to improve the clustering accuracy. Additionally, this paper also presents a novel efficient algorithm \textit{P-CAV} for further improving the clustering speed of CAV; P-CAV is an extension of CAV that utilizes the thread-based parallelization on a many-core CPU. Our extensive experiments on synthetic and public datasets demonstrate the performance superiority of our approaches over the state-of-the-art approaches.

Violence begetting violence: An examination of extremist content on deep Web social networks

Several incidents of mass violence in 2019 were preceded by manifestoes posted to deep Web social media sites by their perpetrators. These sites, most notably 4chan and 8chan, are buried in the deep Web, away from the neutralizing effects of broad public discourse. Many of the posts to these sites reference earlier extremist incidents, and indeed the incidents themselves mimic aspects of previous attacks. Building on previous research, this paper examines these deep Web social media sites. Through an analysis of traffic and posts, we confirm that these sites often act as a self-reinforcing community of users encouraging each other to violence, and we map a statistically significant rise in ”post volume” on these sites immediately following terrorist attacks.

Feature-Based Sentiment Analysis for Arabic Language

In light of the spread of e-commerce and e-marketing, and the presence of a huge number of reviews and texts written by people to share views on products, it became necessary to give attention to extracting these opinions automatically and analyzing the feelings of the reviewers. The goal is to obtain reports evaluating products and contribute to improve services at a glance. Sentiment Analysis is a relatively recent study that deals with the processing of natural texts published in web sites and social networks. However, the processing of texts written in the Arabic language is one of the challenges that specialists face because people do not rely on standard Arabic, writing people in spoken/colloquial languages and use various dialects. This paper will present feature-based sentiment analysis for Arabic language which works on text analysis technique that breaks down text into aspects (attributes or components of a product or service), and then allocates each one a sentiment level (positive, negative or neutral).

Determine of Osteoporosis Knowledge among Female Students at Institutes in Middle Al-Furat at Iraq

Objectives: To determine the knowledge among osteoporosis for female students and identify the association between overall assessment knowledge osteoporosis with demographic characteristics among female students. The study design a quantitative research by a descriptive study, the sampling it is non-Probability “purposive” sample was conducted on 200 Female Students among Osteoporosis Knowledge at Institutes in Al-Furat of Middle for the period from February 7, 2018 to March 16, 2018. A questionnaire it has used as a tool of data collection to fulfill the study, which consist of three parts, include demographic characteristics, medical history, and the health Protective behaviors. A content validity, which is carried out through 13 panel of experts. A panel of experts determines validity, while reliability use split half. A descriptive and inferential statistics are used to analyze the data. Results: Findings stated that the higher percentage were (68%) at age group (18-20) years, (91.5%) from urban areas, (74.5%) singles, and relative to source of information (48.5%) had more than source, followed by (23.5%) internet and social networking web. Also majority of those students (54%) were in fair level knowledge about osteoporosis disease, followed by (46%) had a good level of knowledge.

Alternative Facts, Fake News, Conflicting Perceptions, & Their Relevance to Library and Information Professionals

Abstract This article addresses contemporary and emerging issues involving perceptions of “truth,” particularly truth in social networking and other web environments. It is a work primarily tackling issues concerning perceptions of truth in the United States of America with a lesser emphasis on their impact on other developed nations. Heuristics (trial and error lessons) derived from the author’s tacit knowledge gained in the political arena communicating factual information to legislators and their staff under the American constitutional right to petition for “redress of grievances” are provided. Research dealing with the well-documented predisposition of people, both well and poorly-educated, to seek out information supporting their existing views is considered. Also reviewed are the implications of the increased availability of disinformation and misinformation from hostile, mercenary, illegal, alt-right, alt-left and other contentious online sources. The essay concludes with the examination of the feasibility of a spectrum of possible roles to be played by libraries and information centers and their personnel in support of a broader identification and provision of validated facts at a time of overabundance in often unreliable electronic information.

Innovative social networks modelling for population simulation

Today social networks are an important element of society that requires developing new models as well as guidelines to create interoperable simulators covering these aspects. These new simulators are expected to enable researches and developments focused on people reactions to simulated events via social networks. This research area results are promising, however, it is necessary to address also several challenging issues including proper development of new conceptual models as well as validation and verification processes and definition of human behaviour modifiers. The authors present a new methodological framework for modelling individuals and populations by means of web social networks, in order to reproduce their dynamics. The article proposes to create interoperable models of social networks along with a real case study related to training and decision making process for authorities. The paper includes experimentations over a complex scenario where human factors and social networks play a crucial role.

OMBM: optimized memory bandwidth management for ensuring QoS and high server utilization

Latency-critical workloads such as web search engines, social networks and finance market applications are sensitive to tail latencies for meeting service level objectives (SLOs). Since unexpected tail latencies are caused by sharing hardware resources with other co-executing workloads, a service provider executes the latency-critical workload alone. Thus, the data center for the latency-critical workloads has exceedingly low hardware resource utilization. For improving hardware resource utilization, the service provider has to co-locate the latency-critical workloads and other batch processing ones. However, because the memory bandwidth cannot be provided in isolation unlike the cores and cache memory, the latency-critical workloads experience poor performance isolation even though the core and cache memory are allocated in isolation to the workloads. To solve this problem, we propose an optimized memory bandwidth management approach for ensuring quality of service (QoS) and high server utilization. By providing isolated shared resources including the memory bandwidth to the latency-critical workload and co-executing batch processing ones, firstly, our proposed approach performs few pre-profilings under the assumption that memory bandwidth contention is the worst with a divide and conquer method. Second, we predict the memory bandwidth to meet the SLO for all queries per seconds (QPSs) based on results of the pre-profilings. Then, our approach allocates the amount of the isolated memory bandwidth that guarantees the SLO to the latency-critical workload and the rest of the memory bandwidth to co-executing batch processing ones. It is experimentally found that our proposed approach can achieve up to 99% SLO assurance and improve the server utilization up to 6.5×.

ІННОВАЦІЙНІ ТЕХНОЛОГІЇ У ЗАКЛАДАХ ВИЩОЇ ОСВІТИ

The article deals with the implementation of innovative approaches to the learning process at the university – distance learning, its components, as well as different models of school organization. Special attention is paid to information and communication technologies, social networking Web 2.0. Development and implementation of intelligent tutoring systems based on ICT will improve the quality of vocational education at the university. Particular attention is paid to the use of interactive learning environment. Thus, the use of innovation in the training of future specialists will contribute to their adaptation to the rapid changes in society, science, business and education.

PODER EM MICHEL FOUCAULT E BYUNG-CHUL HAN: BIOPOLÍTICA, NEOLIBERALISMO E PSICOPOLÍTICA COMO DISPOSITIVOS PARA CONTROLAR CORPOS E PSIQUES NA SOCIEDADE INFORMACIONAL-DIGITAL

This essay analyzes power and its meanings from the work of two contemporary thinkers: Michel Foucault and Byung-Chul Han. In this sense, excerpts from the works of philosophers are presented, in addition to the inclusion of other thinkers as a way to scale the debate. Thus, from a so-called biopolitics (politics aimed at managing life) extracted from Foucault's work and a psychopolitics (mind capture) from Han's works, both converging on a contestation about neoliberalism, I seek to analyze aspects concerning the which would be a type of psyche control based on the massive use of the internet, the web and digital media and social networks, converging in the current moment, where the digital seems to become the new space for the articulation of a more complex and subjective power.

A snapshot survey of Saudi higher education students' perceptions of SNSs and Web 2.0 as a support learning tool based on the proposed social learning hub model

The rapid growth in social network sites and Web 2.0 applications has changed the ways of communications, knowledge exchange and learning. However, there is a lack of educational research in relation to learning outcomes on utility of Facebook and other similar SNSs in terms of: 1) interactions of students; 2) academic communication; 3) cooperative learning; 4) student motivation. Based on our proposed social learning hub (SLH) model, we empirically examine the abovementioned four factors as a pilot survey on student perceptions of the use of Facebook as a learning tool, in the School of Engineering and the School of Computer Sciences and IT, Imam Abdulrahman Bin Faisal University, Saudi Arabia. Our findings indicated that the majority of the students had a hesitant perception of using Facebook in terms of the abovementioned four factors; and this negative perception needs to be rectified with intervention strategies.

Study of Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions

Ubiquitous sensing enabled by Wireless Sensor Network (WSN) technologies cuts across many areas of modern day living. This offers the ability to measure, infer and understand environmental indicators, from delicate ecologies and natural resources to urban environments. The proliferation of these devices in a communicating-actuating network creates the Internet of Things (IoT), wherein, sensors and actuators blend seamlessly with the environment around us, and the information is shared across platforms in order to develop a common operating picture (COP). Fuelled by the recent adaptation of a variety of enabling wireless technologies such as RFID tags and embedded sensor and actuator nodes, the IoT has stepped out of its infancy and is the the next revolutionary technology in transforming the Internet into a fully integrated Future Internet. As we move from www (static pages web) to web2 (social networking web) to web3 (ubiquitous computing web), the need for data-on-demand using sophisticated intuitive queries increases significantly. This paper presents a Cloud centric vision for worldwide implementation of Internet of Things. The key enabling technologies and application domains that are likely to drive IoT research in the near future are discussed. A Cloud implementation using Aneka, which is based on interaction of private and public Clouds is presented. We conclude our IoT vision by expanding on the need for convergence of WSN, the Internet and distributed computing directed at technological research community.

An I/O-Efficient Buffer Batch Replacement Policy for Update-Intensive Graph Databases

With the proliferation of graph-based applications, such as social network management and Web structure mining, update-intensive graph databases have become an important component of today’s data management platforms. Several techniques have been recently proposed to exploit locality on both data organization and computational model in graph databases. However, little investigation has been conducted on buffer management of graph databases. To the best of our knowledge, current buffer managers of graph databases suffer performance loss caused by unnecessary random I/O access. To solve this problem, we develop a novel batch replacement policy for buffer management. This policy enables us to maximally exploit sequential I/O to improve the performance of graph database. However, trivial solution produces impractical maintenance for replacement plan with maximal sequential I/O. To enable the policy, we first devise a segment tree-based buffer manager to efficiently maintain a optimal replacement plan. Unfortunately, segment tree-based solution becomes bottleneck in multi-core environment. To remedy this weakness, a B-tree-based buffer manager is further proposed. Extensive experiments on real-world and synthetic datasets demonstrate the superiority of our method.

Role of Information System (IS), Social Networking Technology (SNT) and WEB 2.0 for Improving Learning Outcomes: A Case of Malaysian Universities

Technology in education has been playing a vital role over the past decade. Information technology (IT) usage has evolved to the next level from traditional methodologies to improved integrated hybrid methodologies in various institutions of higher learning. Hence, the study aims to examine the factors of information system (IS), social networking technology (SNT) and Web 2.0 that is influencing the learning outcome of University student's perception prior to awareness. Interest, knowledge, experience, intelligent and trust.