SNUXH: A Set of Social Network User Experience Heuristics

With the growth and overcrowding of the internet, the use of online social networks has been increasing. Currently, social networks are used by a wide variety of users–with different objectives and in different contexts of use–, so it is essential to design intuitive and easy to use social network applications that generate a positive user experience (UX). The heuristic evaluation is a well-known evaluation method that allows detecting usability problems; a group of experts evaluates a product and/or system using a set of heuristics as a guide. Although the heuristic evaluation is oriented to evaluate the usability, it can be useful to evaluate other aspects related to the UX. Due to the specific features of social networks, it is necessary to have a specific set of heuristics to evaluate them. Sets of specific heuristics for social networks have been proposed, but they focus on evaluating the only usability. This article presents a set of heuristics that attend not only usability issues, but other UX factors as well, social network user experience heuristics (SNUXH). The new set of heuristics was developed, validated, and refined in four iterations. The results obtained in the experimental validation indicate that the SNUXH set is useful and more effective than generic heuristics (Nielsen’s heuristics) when evaluating social networks.

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Key Design Characteristics for Developing Usable E-Commerce Websites in the Arab World

Informing Science The International Journal of an Emerging Transdiscipline ◽

10.28945/3569 ◽

2016 ◽

Vol 19 ◽

pp. 253-275 ◽

Cited By ~ 2

Author(s):

Layla Hasan

Keyword(s):

Developing Countries ◽

Evaluation Method ◽

Arab World ◽

Usability Evaluation ◽

The Internet ◽

Heuristic Evaluation ◽

Priority Level ◽

Good Design ◽

Usability Problems ◽

Design Characteristics

This research aims to suggest key design characteristics that are necessary for developing usable e-commerce websites in the Arab world. A comprehensive usability evaluation of four leading Arab e-commerce websites was conducted using the heuristic evaluation method. The results identified major and minor usability problems and major and minor good design characteristics on the selected websites. Based on the results, 51 key design characteristics were suggested. The recommended key design characteristics comprised two levels according to their priority: level one which includes mandatory key design characteristics and level two which includes supplementary design characteristics. The key design characteristics in each level were categorized under specific pages and areas that can be found on any e-commerce website. Such categorizations could direct website evaluators and designers to important pages and areas that should be considered to improve the overall usability of e-commerce websites. The results of this research are particularly important to developing countries which are still facing challenges that may affect the design and accessibility of usable and useful websites. These relate to low speed of accessing the Internet and a lack of website designers who have experience in customers’ needs and websites’ usable design characteristics.

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Differentially Private Recommendation System Based on Community Detection in Social Network Applications

Security and Communication Networks ◽

10.1155/2018/3530123 ◽

2018 ◽

Vol 2018 ◽

pp. 1-18 ◽

Cited By ~ 6

Author(s):

Gesu Li ◽

Zhipeng Cai ◽

Guisheng Yin ◽

Zaobo He ◽

Madhuri Siddula

Keyword(s):

Social Networks ◽

Social Network ◽

Community Detection ◽

Recommendation System ◽

Detection Method ◽

Personal Information ◽

The Internet ◽

Sensitive Information ◽

Network Applications ◽

Target Attributes

The recommender system is mainly used in the e-commerce platform. With the development of the Internet, social networks and e-commerce networks have broken each other’s boundaries. Users also post information about their favorite movies or books on social networks. With the enhancement of people’s privacy awareness, the personal information of many users released publicly is limited. In the absence of items rating and knowing some user information, we propose a novel recommendation method. This method provides a list of recommendations for target attributes based on community detection and known user attributes and links. Considering the recommendation list and published user information that may be exploited by the attacker to infer other sensitive information of users and threaten users’ privacy, we propose the CDAI (Infer Attributes based on Community Detection) method, which finds a balance between utility and privacy and provides users with safer recommendations.

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Cooperation Among Members of Online Communities

International Journal of Wireless Networks and Broadband Technologies ◽

10.4018/ijwnbt.2011070101 ◽

2011 ◽

Vol 1 (3) ◽

pp. 1-14

Author(s):

M. L. Merani ◽

M. Capetta ◽

D. Saladino

Keyword(s):

Social Networks ◽

Social Network ◽

Video Streaming ◽

Online Social Networks ◽

Peer To Peer ◽

Critical Conditions ◽

The Internet ◽

Performance Improvements ◽

P2p Video Streaming ◽

P2p Overlay

Today some of the most popular and successful applications over the Internet are based on Peer-to-Peer (P2P) solutions. Online Social Networks (OSN) represent a stunning phenomenon too, involving communities of unprecedented size, whose members organize their relationships on the basis of social or professional friendship. This work deals with a P2P video streaming platform and focuses on the performance improvements that can be granted to those P2P nodes that are also members of a social network. The underpinning idea is that OSN friends (and friends of friends) might be more willing to help their mates than complete strangers in fetching the desired content within the P2P overlay. Hence, an approach is devised to guarantee that P2P users belonging to an OSN are guaranteed a better service when critical conditions build up, i.e., when bandwidth availability is scarce. Different help strategies are proposed, and their improvements are numerically assessed, showing that the help of direct friends, two-hops away friends and, in the limit, of the entire OSN community brings in considerable advantages. The obtained results demonstrate that the amount of delivered video increases and the delay notably decreases, for those privileged peers that leverage their OSN membership within the P2P overlay.

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Cyber Buzz: Examining Virality Characteristics of Cybersecurity Content In Social Networks

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641099 ◽

2020 ◽

Vol 64 (1) ◽

pp. 441-445

Author(s):

Thomas Shields ◽

Hannah Li ◽

Peter Lebedev ◽

Josiah Dykstra

Keyword(s):

Social Networks ◽

Social Network ◽

Online Social Networks ◽

Prediction Accuracy ◽

Time Of Day ◽

Policy Adoption ◽

The Internet ◽

Security Awareness ◽

Prediction Algorithms

The Internet is a rich environment for information to spread rapidly and widely. The ability of cybersecurity content to achieve virality in social networks can be useful for measuring security awareness, policy adoption, or cybersecurity literacy. It may also reveal new and emerging cybersecurity events. Virality in online social networks can be characterized and measured many ways and have different causes. Leveraging existing research in social network virality measurements, we calculate and analyze virality measurements and correlations on an anonymized Reddit dataset, examining overall trends and characteristics of individual cybersecurity forums (subreddits). We reproduce content-based virality prediction algorithms and assess their performance, then introduce additional features beyond post title, including time of day, to improve prediction accuracy to ~71% for each of the virality scores. We examine the intersection of the virality facets to reveal correlations about the content and times when cybersecurity content is most viral.

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Cooperation Among Members of Online Communities

Security, Design, and Architecture for Broadband and Wireless Network Technologies ◽

10.4018/978-1-4666-3902-7.ch013 ◽

2013 ◽

pp. 170-183

Author(s):

M. L. Merani ◽

M. Capetta ◽

D. Saladino

Keyword(s):

Social Networks ◽

Social Network ◽

Video Streaming ◽

Online Social Networks ◽

Peer To Peer ◽

Critical Conditions ◽

The Internet ◽

Performance Improvements ◽

P2p Video Streaming ◽

P2p Overlay

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Information-seeking behavior in the digital age: use by faculty members of the internet, scientific databases and social networks

Information Discovery and Delivery ◽

10.1108/idd-02-2020-0014 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Chia Rostami ◽

Elaheh Hosseini ◽

Mohammad Karim Saberi

Keyword(s):

Social Networks ◽

Social Network ◽

Online Social Networks ◽

Information Seeking ◽

Faculty Members ◽

Information Seeking Behavior ◽

The Internet ◽

Content Type ◽

Scientific Databases ◽

Seeking Behavior

Purpose The study aims to survey information-seeking behavior of the Iranian medical faculty members and to identify the reasons and obstacles of their usage via the internet, scientific databases and online social networks. Design/methodology/approach In this cross-sectional study, a structured questionnaire used to collect data. The research population includes faculty members of four faculties of Hamadan University of Medical Sciences in Iran, including health, nursing – midwifery, paramedicine and rehabilitation. SPSS software was used to analyze data in descriptive and analytical levels. Findings Low internet speed, network traffic and lack of time were the main barriers and difficulties. Gender was significantly related with familiarity with databases, problems and barriers to accessing information, barriers to using social network, as well as purpose and motivation of using social network. Search for educational and research resources and use of social network to increase their general information were the main goals of participants to using the internet and databases. A negative significant relationship was observed between usage of social network with age (r = −0.204, P = 0.047) and experience (r = −0.239, P = 0.019). Originality/value The usage of faculty members of various digital resources is growing ever more. This study examines the use of faculty members of the internet, scientific databases and online social networks simultaneously.

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Conical SNA using fuzzy k-medoids based on user experience

International Journal of Electrical Engineering Education ◽

10.1177/0020720920988490 ◽

2021 ◽

pp. 002072092098849

Author(s):

Poonam Rani ◽

MPS Bhatia ◽

Devendra K Tayal

Keyword(s):

Social Networks ◽

Social Network ◽

User Experience ◽

Three Dimensional ◽

Experimental Results ◽

Dynamic Parameters ◽

Clustering Method ◽

Cone Model ◽

Intelligent Approach ◽

Conical Model

The paper presents an intelligent approach for the comparison of social networks through a cone model by using the fuzzy k-medoids clustering method. It makes use of a geometrical three-dimensional conical model, which astutely represents the user experience views. It uses both the static as well as the dynamic parameters of social networks. In this, we propose an algorithm that investigates which social network is more fruitful. For the experimental results, the proposed work is employed on the data collected from students from different universities through the Google forms, where students are required to rate their experience of using different social networks on different scales.

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How migrants manifest their transnational identity through online social networks: comparative findings from a case of Koreans in Germany

Comparative Migration Studies ◽

10.1186/s40878-020-00218-w ◽

2021 ◽

Vol 9 (1) ◽

Author(s):

Sunyoung Park ◽

Lasse Gerrits

Keyword(s):

Social Networks ◽

Social Network ◽

Online Social Networks ◽

Online Social Network ◽

Point Of View ◽

Comparative Case Study ◽

Transnational Identity ◽

Transnational Identities ◽

Web 3.0 ◽

Situational Contexts

AbstractAlthough migration has long been an imperative topic in social sciences, there are still needs of study on migrants’ unique and dynamic transnational identity, which heavily influences the social integration in the host society. In Online Social Network (OSN), where the contemporary migrants actively communicate and share their stories the most, different challenges against migrants’ belonging and identity and how they cope or reconcile may evidently exist. This paper aims to scrutinise how migrants are manifesting their belonging and identity via different technological types of online social networks, to understand the relations between online social networks and migrants’ multi-faceted transnational identity. The research introduces a comparative case study on an online social movement led by Koreans in Germany via their online communities, triggered by a German TV advertisement considered as stereotyping East Asians given by white supremacy’s point of view. Starting with virtual ethnography on three OSNs representing each of internet generations (Web 1.0 ~ Web 3.0), two-step Qualitative Data Analysis is carried out to examine how Korean migrants manifest their belonging and identity via their views on “who we are” and “who are others”. The analysis reveals how Korean migrants’ transnational identities differ by their expectation on the audience and the members in each online social network, which indicates that the distinctive features of the online platform may encourage or discourage them in shaping transnational identity as a group identity. The paper concludes with the two main emphases: first, current OSNs comprising different generational technologies play a significant role in understanding the migrants’ dynamic social values, and particularly, transnational identities. Second, the dynamics of migrants’ transnational identity engages diverse social and situational contexts. (keywords: transnational identity, migrants’ online social networks, stereotyping migrants, technological evolution of online social network).

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Limitation of degree information for analyzing the interaction evolution in online social networks

International Journal of Modern Physics C ◽

10.1142/s0129183114500569 ◽

2014 ◽

Vol 25 (10) ◽

pp. 1450056 ◽

Cited By ~ 6

Author(s):

Ke-Ke Shang ◽

Wei-Sheng Yan ◽

Xiao-Ke Xu

Keyword(s):

Social Networks ◽

Social Network ◽

Social Services ◽

Online Social Networks ◽

Dynamic Network ◽

Interaction Network ◽

Strength Distribution ◽

Customer Churn ◽

Dynamic Social Network ◽

Temporal Interactions

Previously many studies on online social networks simply analyze the static topology in which the friend relationship once established, then the links and nodes will not disappear, but this kind of static topology may not accurately reflect temporal interactions on online social services. In this study, we define four types of users and interactions in the interaction (dynamic) network. We found that active, disappeared, new and super nodes (users) have obviously different strength distribution properties and this result also can be revealed by the degree characteristics of the unweighted interaction and friendship (static) networks. However, the active, disappeared, new and super links (interactions) only can be reflected by the strength distribution in the weighted interaction network. This result indicates the limitation of the static topology data on analyzing social network evolutions. In addition, our study uncovers the approximately stable statistics for the dynamic social network in which there are a large variation for users and interaction intensity. Our findings not only verify the correctness of our definitions, but also helped to study the customer churn and evaluate the commercial value of valuable customers in online social networks.

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Personality, risk tolerance and social network use: an exploratory study

Managerial Finance ◽

10.1108/mf-05-2015-0159 ◽

2016 ◽

Vol 42 (6) ◽

pp. 536-552 ◽

Cited By ~ 2

Author(s):

Shaista Wasiuzzaman ◽

Siavash Edalat

Keyword(s):

Social Networks ◽

Social Network ◽

Online Social Networks ◽

Financial Risk ◽

Ordinary Least Squares ◽

Risk Tolerance ◽

Network Activity ◽

Least Squares Regression ◽

Content Type ◽

Financial Risk Tolerance

Purpose – The vast amount of information available via online social networks (OSN) makes it a very good avenue for understanding human behavior. One of the human characteristics of interest to financial practitioners is an individual’s financial risk tolerance. The purpose of this paper is to look at the relationship between an individual’s OSN behavior and his/her financial risk tolerance. Design/methodology/approach – The study uses data collected from a sample of 220 university students and the backward variables selection ordinary least squares regression analysis technique to achieve its objective. Findings – The results of the study find that the frequency of logging on to social network sites indicates an individual who has higher financial risk tolerance. Additionally, the increasing use of social networks for social connection is found to be associated with lower financial risk tolerance. The results are mostly consistent when the sample is split based on prior financial knowledge. Originality/value – To the authors’ knowledge this is the first study which documents the possibility of understanding an individual’s financial risk tolerance via his/her social network activity. This provides investment/financial consultants with more avenues for gathering information in order to understand their current or potential clients hence providing better services.

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