Social Networking “Why and How?”
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Judging You by the Company You Keep: Dating on Social Networking
Judging You by the Company You Keep: Dating on Social Networking Sites Adeline Lee, Amy Bruckman College of Computing/GVU Center Georgia Institute of Technology 85 5th Street, Atlanta, GA 30332 [email protected]; [email protected] ABSTRACT functionality, and concepts that may explain SNS dating behavior This study examines dating strategies in Social Networking Sites such as identity, self-representation and social capital. While there (SNS) and the features that help participants achieve their dating are many SNS today, the study data come from two well- goals. Qualitative data suggests the SNS feature, the friends list, established sites with critical mass and widespread popularity: plays a prominent role in finding potential dates, verifying Friendster and MySpace. credibility, and validating ongoing relationship commitment levels. Observations of how study participants use the friends list 1.1 Friends List: My Friends are Top Friends may provide design implications for social networking sites The friends list is the public display of one’s entire social network interested in facilitating romantic connection among their users. in which the connections are reciprocated. A friends list can be More broadly, this research shows how subtle user-interface comprised of hundreds of friends, but only a subset of these design choices in social computing software can have a profound friends appear on the front page of a member’s profile. This effect on non-trivial activities like finding a life partner. selective display of friends is called “My Friends” in Friendster (Figure 1) and “Top Friends” in MySpace (Figure 2). For Categories and Subject Descriptors simplicity, we refer to the selective display as Top Friends for H.5 [Information Interfaces and Presentation]: Group and either site. -
Towards Trust and Friendliness Approaches in the Social Internet of Things
applied sciences Review Towards Trust and Friendliness Approaches in the Social Internet of Things Farhan Amin 1 , Awais Ahmad 2 and Gyu Sang Choi 1,* 1 Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 280, Korea; [email protected] 2 Department of Computer Science, Bahria University, Islamabad 44000, Pakistan; [email protected] * Correspondence: [email protected] Received: 27 November 2018; Accepted: 21 December 2018; Published: 4 January 2019 Abstract: The Internet of Things (IoT) is an interconnected network of heterogeneous entities, such as sensors and embedded devices. During the current era, a new field of research has emerged, referred to as the social IoT, which mainly includes social networking features. The social IoT refers to devices that are capable of creating interactions with each other to independently achieve a common goal. Based on the structure, the support of numerous applications, and networking services, the social IoT is preferred over the traditional IoT. However, aspects like the roles of users and network navigability are major challenges that provoke users’ fears of data disclosure and privacy violations. Thus, it is important to provide reliable data analyses by using trust- and friendliness-based properties. This study was designed because of the limited availability of information in this area. It is a classified catalog of trust- and friendliness-based approaches in the social IoT with important highlights of important constraints, such as scalability, adaptability, and suitable network structures (for instance, human-to-human and human-to-object). In addition, typical concerns like communities of interest and social contacts are discussed in detail, with particular emphasis on friendliness- and trust-based properties, such as service composition, social similarity, and integrated cloud services. -
What Is Social Network Analysis?
Scott, John. "Key concepts and measures." What is Social Network Analysis?. London: Bloomsbury Academic, 2012. 31–56. The 'What is?' Research Methods Series. Bloomsbury Collections. Web. 4 Oct. 2021. <http://dx.doi.org/10.5040/9781849668187.ch-003>. Downloaded from Bloomsbury Collections, www.bloomsburycollections.com, 4 October 2021, 00:35 UTC. Copyright © John Scott 2012. You may share this work for non-commercial purposes only, provided you give attribution to the copyright holder and the publisher, and provide a link to the Creative Commons licence. 3 Key concepts and measures Chapter 2 traced the history of social network analysis through the three broad mathematical approaches that have domi- nated the field: graph theory, algebraic approaches and spatial approaches. In this chapter I will first consider the principal methods of data collection for social network analysis, and I will then outline and define, in sequence, the key concepts and measures associated with each mathematical approach consid- ered in Chapter 2. I will suggest that graph theory provides the formal framework common to all these approaches. I will not present highly technical definitions, as these are more appropri- ate to the various handbooks of social network analysis (Scott 2012; Degenne and Forsé 1994; Prell 2012). Having done this, I will set out some of the statistical procedures used in assessing the validity of network measures in actual situations. 31 32 What is social network analysis? Collecting network data Relational data for social network analysis can be collected through a variety of methods. These include asking questions about the choice of friends, observing patterns of interaction, and compiling information on organisational memberships from printed directories. -
Rdfa in XHTML: Syntax and Processing Rdfa in XHTML: Syntax and Processing
RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing RDFa in XHTML: Syntax and Processing A collection of attributes and processing rules for extending XHTML to support RDF W3C Recommendation 14 October 2008 This version: http://www.w3.org/TR/2008/REC-rdfa-syntax-20081014 Latest version: http://www.w3.org/TR/rdfa-syntax Previous version: http://www.w3.org/TR/2008/PR-rdfa-syntax-20080904 Diff from previous version: rdfa-syntax-diff.html Editors: Ben Adida, Creative Commons [email protected] Mark Birbeck, webBackplane [email protected] Shane McCarron, Applied Testing and Technology, Inc. [email protected] Steven Pemberton, CWI Please refer to the errata for this document, which may include some normative corrections. This document is also available in these non-normative formats: PostScript version, PDF version, ZIP archive, and Gzip’d TAR archive. The English version of this specification is the only normative version. Non-normative translations may also be available. Copyright © 2007-2008 W3C® (MIT, ERCIM, Keio), All Rights Reserved. W3C liability, trademark and document use rules apply. Abstract The current Web is primarily made up of an enormous number of documents that have been created using HTML. These documents contain significant amounts of structured data, which is largely unavailable to tools and applications. When publishers can express this data more completely, and when tools can read it, a new world of user functionality becomes available, letting users transfer structured data between applications and web sites, and allowing browsing applications to improve the user experience: an event on a web page can be directly imported - 1 - How to Read this Document RDFa in XHTML: Syntax and Processing into a user’s desktop calendar; a license on a document can be detected so that users can be informed of their rights automatically; a photo’s creator, camera setting information, resolution, location and topic can be published as easily as the original photo itself, enabling structured search and sharing. -
Comércio Eletrônico
Comércio Eletrônico Aula 1 - Overview of Electronic Commerce Learning Objectives 1. Define electronic commerce (EC) and describe its various categories. 2. Describe and discuss the content and framework of EC. 3. Describe the major types of EC transactions. 4. Describe the drivers of EC. 5. Discuss the benefits of EC to individuals, organizations, and society. 6. Discuss social computing. 7. Describe social commerce and social software. 8. Understand the elements of the digital world. 9. Describe some EC business models. 10. List and describe the major limitations of EC. Case: Starbucks Electronic Commerce (EC) EC refers to using the Internet and other networks (e.g., intranets) to purchase, sell, transport, or trade data, goods, or services. e-Business • Narrow definition of EC: buying and selling transactions between business partners. • e-Business refers to a broader definition of EC: – buying and selling of goods and services – Servicing customers – collaborating with business partners, – delivering e-learning, – conducting electronic transactions within organizations. – Among others e-Business Note: some view e-business only as comprising those activities that do not involve buying or selling over the Internet, i.e., a complement of the narrowly defined EC. Major EC Concepts: Non-EC vs. Pure EC vs. Partial EC • EC three major activities: – ordering and payments, – order fulfilment, and – delivery to customers. • pure EC: all activities are digital, • non-EC: none are digital, • otherwise, we have partial EC. Major EC Concepts: Pure -
The Social Roles of Buildings New Series 65
Stockholm Studies in Sociology The Social Roles of Buildings New Series 65 The Social Roles of Buildings An Account of Materiality and Meaning in Urban Outcomes Lauren Dean ©Lauren Dean, Stockholm University 2017 ISBN 978-91-7649-602-2 (Print) ISBN 978-91-7649-603-9 (Digital) ISSN 0491-0885 Printed in Sweden by US-AB, Stockholm 2017 Distributor: Stockholm University Department of Sociology Cover Images by Lauren Dean For Santiago, New York, and Stockholm—the cities that have welcomed me home. Contents List of Illustrations ix I. INTRODUCTION 1 INTENTS 1 PUZZLES 4 BUILDING CONCEPTS 8 FOUNDATIONS 14 METHODOLOGICAL APPROACH 28 THE CASE 34 II: BUILDING URBAN TYPES 43 BUILDING TYPES: NAMES AND FORMS 43 RESIDENTIAL TYPOLOGY 49 URBANIZATION AND SOCIAL PROBLEMS 51 THE FRENCH CONNECTION 58 NAMES 63 URBAN FORMS 66 “WORKERS’ HOUSING” 73 CITÉS IN SANTIAGO 76 III: USES OF SPACE 80 URBAN SPACE AND EVERYDAY USE 80 CONTEMPORARY CITÉS 85 THE PATIO 87 DESCRIPTION OF CONDITIONS 90 DESCRIPTION OF USE 93 COMPARISONS OF USE 97 GATES: EXCLUSION AND EXCLUSIVITY 103 ON PRIVATE COLLECTIVE SPACES 108 BUILDING MEANING 112 IV: REUSE AND NEIGHBORHOOD TRANSFORMATION 114 URBAN NEIGHBORHOOD CHANGE 114 BARRIO ITALIA 118 PUTTING UP A FRONT / MAINTAINING A FACADE 123 NARRATIVE OF NOSTALGIA 128 PATIO REUSE 134 PERFORMING THE PAST 138 REUSE AND CO-TRANSFORMATION 141 CONCLUSION: TOWARDS A SOCIOLOGY OF BUILDINGS 144 ON THE SOCIAL ROLES OF BUILDINGS 144 FORM AND FUNCTION (AND USE) 145 FORM, MEANING, AND DEFINITION 146 NAMES 147 BUILDING METHODS FOR BUILDING THEORY 149 FUTURE RESEARCH 151 Appendix 153 METHODOLOGY: DETAILS, ETHICS, AND CONCERNS 153 SAMMANFATTNING/RESUMEN (TRANSLATED SUMMARIES) 173 ACKNOWLEDGMENTS 175 WORKS CITED 178 List of Illustrations Relationship between Buildings and Society 29 Table of Analytical Levels 33 Cité Floor Plan (model) 35 Urban Block, Santiago (c. -
Linked Data Overview and Usage in Social Networks
Linked Data Overview and Usage in Social Networks Gustavo G. Valdez Technische Universitat Berlin Email: project [email protected] Abstract—This paper intends to introduce the principles of Webpages, also possibly reference any Object or Concept (or Linked Data, show some possible uses in Social Networks, even relationships of concepts/objects). advantages and disadvantages of using it, aswell as presenting The second one combines the unique identification of the an example application of Linked Data to the field of social networks. first with a well known retrieval mechanism (HTTP), enabling this URIs to be looked up via the HTTP protocol. I. INTRODUCTION The third principle tackles the problem of using the same The web is a very good source of human-readable informa- document standards, in order to have scalability and interop- tion that has improved our daily life in several areas. By using erability. This is done by having a standard, the Resource De- rich text and hyperlinks, it made our access to information scription Framewok (RDF), which will be explained in section something more active rather than passive. But the web was III-A. This standards are very useful to provide resources that made for humans and not for machines, even though today are machine-readable and are identified by a URI. a lot of the acesses to the web are made by machines. This The fourth principle basically advocates that hyperlinks has lead to the search for adding structure, so that data is should be used not only to link webpages, but also to link more machine-readable. -
A Visual Notation for the Integrated Representation of OWL Ontologies
A Visual Notation for the Integrated Representation of OWL Ontologies Stefan Negru1 and Steffen Lohmann2 1Faculty of Computer Science, Alexandru Ioan Cuza University, General Berthelot 16, 700483 Iasi, Romania 2Institute for Visualization and Interactive Systems (VIS), Universit¨atsstraße 38, 70569 Stuttgart, Germany [email protected], [email protected] Keywords: Ontology Visualization, Visual Notation, OWL, Semantic Web, Knowledge Visualization, Ontologies. Abstract: The paper presents a visual notation for the Web Ontology Language (OWL) providing an integrated view on the classes and individuals of ontologies. The classes are displayed as circles, with the size of each circle representing its connectivity in the ontology. The individuals are represented as sections in the circles so that it is immediately clear from the visualization how many individuals the classes contain. The notation can be used to visualize the property relations of either the classes (conceptual layer) or of selected individuals (integrated layer), while certain elements are always shown for a better understanding. It requires only a small number of graphical elements and the resulting visualizations are comparatively compact. Yet, the notation is comprehensive, as it defines graphical representations for all OWL elements that can be reasonably visualized. The applicability of the notation is illustrated by the example of the Friend of a Friend (FOAF) ontology. 1 INTRODUCTION reasoning. Even though it provides great means to de- scribe and integrate information on the Web, its text- The Web of Data has attracted large interest for both based representation is difficult to understand for av- data publishers and consumers in the last years. -
Social Commerce
SOCIAL COMMERCE AND YOUR E-COMMERCE STRATEGY T HE DIGITAL GRAND BAZAAR Imagine yourself standing in the middle of Istanbul’s Grand Bazaar—the world’s oldest and largest covered market. There are 61 covered streets. Over 3,000 shops. The bazaar attracts nearly half a million shoppers on a daily basis. Imagine the smell of spices and leather goods. Imagine the vibrant colors of the fabrics and glittering jewelry, picture the ornateness of handmade ceramics. All around you, people are looking at the wares, haggling with the vendors, talking about this shop or that one. The noise is steady and unrelenting and the sheer amount of humanity is exhilarating/overwhelming. The Grand Bazaar today is not much different than it was in the 16th century. Shops still sell similar items. Goods are still bargained for—no one pays what a seller is asking (you’re expected to haggle and deal with the vendor face-to-face). It’s been described as one of the best ways to “recapture the romantic atmosphere of old Istanbul.”1 And it represents the archetypical driver of commerce: social interaction; word of mouth. Commerce has always been a social event. Word of mouth, for example, was one of the first and most powerful forms of advertising. And it still remains so today. According to global management consulting firm McKinsey & Company, word of mouth “is the primary factor behind 20 to 50 percent of all purchasing decisions.”2 In the digital era, e-commerce has become the Grand Bazaar for the world. Social media is the modern word of mouth where instead of sharing opinions with just a small and close-knit group, people connect and share across the globe. -
Mapping Between Digital Identity Ontologies Through SISM
Mapping between Digital Identity Ontologies through SISM Matthew Rowe The OAK Group, Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, Sheffield S1 4DP, UK [email protected] Abstract. Various ontologies are available defining the semantics of dig- ital identity information. Due to the rise in use of lowercase semantics, such ontologies are now used to add metadata to digital identity informa- tion within web pages. However concepts exist in these ontologies which are related and must be mapped together in order to enhance machine- readability of identity information on the web. This paper presents the Social identity Schema Mapping (SISM) vocabulary which contains a set of mappings between related concepts in distinct digital identity ontolo- gies using OWL and SKOS mapping constructs. Key words: Semantic Web, Social Web, SKOS, OWL, FOAF, SIOC, PIMO, NCO, Microformats 1 Introduction The semantic web provides a web of machine-readable data. Ontologies form a vital component of the semantic web by providing conceptualisations of domains of knowledge which can then be used to provide a common understanding of some domain. A basic ontology contains a vocabulary of concepts and definitions of the relationships between those concepts. An agent reading a concept from an ontology can look up the concept and discover its properties and characteristics, therefore interpreting how it fits into that particular domain. Due to the great number of ontologies it is common for related concepts to be defined in separate ontologies, these concepts must be identified and mapped together. Web technologies such as Microformats, eRDF and RDFa have allowed web developers to encode lowercase semantics within XHTML pages. -
Globalwebindex's Flagship Report on the Latest Trends in Social Media
Social GlobalWebIndex’s flagship report on the latest trends in social media FLAGSHIP REPORT 2020 globalwebindex.com What's inside? 03 Introduction 04 Key insights 05 Social media engagement 11 The social media landscape 13 Social media behaviors 15 Social entertainment 21 Notes on methodology 23 More from GlobalWebIndex SOCIAL Introduction METHODOLOGY GlobalWebIndex Social Media flagship report provides All figures in this report are drawn from GlobalWebIndex’s version of this survey via mobile, hence the sample sizes the most important insights on the world of social media, online research among internet users aged 16-64. We only presented in the charts throughout this report may differ as from the very latest figures for social media engagement interview respondents aged 16-64 and our figures are some will include all respondents and others will include only to the key trends within the social space and a representative of the online populations of each market, not its respondents who completed GlobalWebIndex’s Core survey via comprehensive view of which social platforms are most total population. Note that in many markets in Latin America, PC/laptop/tablet. popular. Among others, this report covers the following the Middle East and Africa, and the Asia Pacific region, low topics in detail: internet penetration rates can mean online populations are Throughout this report we refer to indexes. Indexes are used more young, urban, affluent and educated than the total to compare any given group against the average (1.00), which How much time per day are digital consumers population. unless otherwise stated refers to the global average. -
Opportunities and Challenges for Standardization in Mobile Social Networks
Opportunities and Challenges for Standardization in Mobile Social Networks Laurent-Walter Goix, Telecom Italia [email protected] Bryan Sullivan, AT&T [email protected] Abstract This paper describes the opportunities and challenges related to the standardization of interoperable “Mobile Social Networks”. Challenges addressed include the effect of social networks on resource usage, the need for social network federation, and the needs for a standards context. The concept of Mobile Federated Social Networks as defined in the OMA SNEW specification is introduced as an approach to some of these challenges. Further specific needs and opportunities in standards and developer support for mobile social apps are described, including potentially further work in support of regulatory requirements. Finally, we conclude that a common standard is needed for making mobile social networks interoperable, while addressing privacy concerns from users & institutions as well as the differentiations of service providers. 1 INTRODUCTION Online Social Networks (OSN) are dominated by Walled Gardens that have attracted users by offering new paradigms of communication / content exchange that better fit their modern lifestyle. Issues are emerging related to data ownership, privacy and identity management and some institutions such as the European Commission have started to provide measures for controlling this. The impressive access to OSN from ever smarter mobile devices, as well as the growth of mobile- specific SN services (e.g. WhatsApp) have further stimulated the mobile industry that is already starving for new attractive services (RCS 1). In this context OMA 2 as mobile industry forum has recently promoted the SNEW specifications that can leverage network services such as user identity and native interoperability of mobile networks (the approach promoted by “federated social networks”).