Opportunities and Challenges for Standardization in Mobile Social Networks
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Creating & Connecting: Research and Guidelines on Online Social
CREATING & CONNECTING//Research and Guidelines on Online Social — and Educational — Networking NATIONAL SCHOOL BOARDS ASSOCIATION CONTENTS Creating & Connecting//The Positives . Page 1 Online social networking Creating & Connecting//The Gaps . Page 4 is now so deeply embedded in the lifestyles of tweens and teens that Creating & Connecting//Expectations it rivals television for their atten- and Interests . Page 7 tion, according to a new study Striking a Balance//Guidance and Recommendations from Grunwald Associates LLC for School Board Members . Page 8 conducted in cooperation with the National School Boards Association. Nine- to 17-year-olds report spending almost as much time About the Study using social networking services This study was made possible with generous support and Web sites as they spend from Microsoft, News Corporation and Verizon. watching television. Among teens, The study was comprised of three surveys: an that amounts to about 9 hours a online survey of 1,277 nine- to 17-year-old students, an online survey of 1,039 parents and telephone inter- week on social networking activi- views with 250 school district leaders who make deci- ties, compared to about 10 hours sions on Internet policy. Grunwald Associates LLC, an a week watching TV. independent research and consulting firm that has conducted highly respected surveys on educator and Students are hardly passive family technology use since 1995, formulated and couch potatoes online. Beyond directed the study. Hypothesis Group managed the basic communications, many stu- field research. Tom de Boor and Li Kramer Halpern of dents engage in highly creative Grunwald Associates LLC provided guidance through- out the study and led the analysis. -
The Effects of Content Likeability, Content Credibility
Journal of Theoretical and Applied Electronic Commerce Research This paper is available online at ISSN 0718–1876 Electronic Version www.jtaer.com VOL 15 / ISSUE 3 / SEPTEMBER 2020 / 1-19 DOI: 10.4067/S0718-18762020000300102 © 2020 Universidad de Talca - Chile The Effects of Content Likeability, Content Credibility, and Social Media Engagement on Users’ Acceptance of Product Placement in Mobile Social Networks Ivan Ka Wai Lai 1 and Yide Liu 2 1 City University of Macau, Faculty of International Tourism and Management, Taipa, Macau, [email protected] 2 Macau University of Science and Technology, School of Business, Taipa, Macau, [email protected] Received 29 August 2018; received in revised form 11 June 2019; accepted 1 October 2019 Abstract Nowadays, product placements are commonly presented on mobile social media but related studies are rare. The main purpose of the study is to investigate the effects of content likeability, content credibility, and social media engagement on users’ acceptance of product placement in mobile social networks. The results of the online survey indicate that content likeability is an antecedent of social media engagement and content credibility; social media engagement has an influence on content credibility; and content likeability, content credibility, and social media engagement both directly affect user acceptance of product placement in mobile social networks. Furthermore, social media engagement has an interaction effect with content likeability on the content credibility of mobile social networks. The results of the multi-group analysis indicate that young adults show differences with middle-aged adults in the direct effect of content likeability on social media engagement and in the interaction effect of content credibility and social media engagement on the acceptance of product placement in mobile social networks. -
Introduction to Social Networks a Guide to Getting Started on Social Media Guide to Getting Started on Social Networks
Introduction to Social Networks A Guide to Getting Started on Social Media Guide to Getting Started on Social Networks Getting Started Facebook With a growing number of social networks, it can Facebook has become the largest social network in be difficult to determine where businesses should the world with over 1 billion users. Facebook users put their attention and resources. As as each social come from every demographic, using the popular network is different, they each require their own network to share content with their family, friends content and engagement strategies for their unique and coworkers. audiences With the roll out of Pages, Facebook has become In order to grow their social media presence, instrumental to businesses as more and more are businesses need to know how to leverage each of using Pages to maximize their marketing value and these popular social networks to better connect with customer engagement. customers and prospects. When using Facebook Pages, consider the To get started with social networks, businesses following: should understand the following: • Facebook Pages can help create awareness, • What today’s most popular social networks are generate excitement for campaigns and keep the conversation going with your customers • How the top social networks are used for business • Facebook Pages can act as a hub for customers, vendors and even employees to communicate • How businesses are interacting with customers with businesses through these networks • Facebook Pages can be used as an avenue for customer service and product feedback Use case Mountain Equipment Coop has just launched a new line of camping gear, so they post a photo on their Facebook Page. -
Chazen Society Fellow Interest Paper Orkut V. Facebook: the Battle for Brazil
Chazen Society Fellow Interest Paper Orkut v. Facebook: The Battle for Brazil LAUREN FRASCA MBA ’10 When it comes to stereotypes about Brazilians – that they are a fun-loving people who love to dance samba, wear tiny bathing suits, and raise their pro soccer players to the levels of demi-gods – only one, the idea that they hold human connection in high esteem, seems to be born out by concrete data. Brazilians are among the savviest social networkers in the world, by almost all engagement measures. Nearly 80 percent of Internet users in Brazil (a group itself expected to grow by almost 50 percent over the next three years1) are engaged in social networking – a global high. And these users are highly active, logging an average of 6.3 hours on social networks and 1,220 page views per month per Internet user – a rate second only to Russia, and almost double the worldwide average of 3.7 hours.2 It is precisely this broad, highly engaged audience that makes Brazil the hotly contested ground it is today, with the dominant social networking Web site, Google’s Orkut, facing stiff competition from Facebook, the leading aggregate Web site worldwide. Social Network Services Though social networking Web sites would appear to be tools born of the 21st century, they have existed since even the earliest days of Internet-enabled home computing. Starting with bulletin board services in the early 1980s (accessed over a phone line with a modem), users and creators of these Web sites grew increasingly sophisticated, launching communities such as The WELL (1985), Geocities (1994), and Tripod (1995). -
2010 Nonprofit Social Network Benchmark Report
April 2010 Nonprofit Social Network Benchmark Report www.nonprofitsocialnetworksurvey.com www.nten.org www.commonknow.com www.theport.com Introduction NTEN, Common Knowledge, and ThePort Network offer this second annual installment of the Nonprofit Social Networking Benchmark Report. This report’s objective is to provide nonprofits with insights and trends surrounding social networking technology as part of nonprofit organizations’ marketing, communications, fundraising, and program house social network services. Social networking community built on Between February 3 and March 15, 2010, a nonprofit’s own 1,173 nonprofit professionals responded to website. Term derived a survey about their organization’s use of from direct mail online social networks. house lists. Two groups of questions were posed to survey participants: commercial 1. Tells us about your use of commercial social network social networks such as Facebook, Twitter, An online community LinkedIn, and others. owned and operated by a corporation. 2. Tell us about your work building and Popular examples using social networks on your own include Facebook and websites, called house social networks . MySpace. Survey respondents represented small, medium and large nonprofits and all nonprofit segments: Arts & Culture, Association, Education, Environment & Animals, Health & Healthcare, Human Services, International, Public & Societal Benefit, Religious and others (See Appendix A for more details). www.nonprofitsocialnetworksurvey.com 1 Executive Summary Commercial Social Networks Nonprofits continued to increase their use of commercial social networks over 2009 and early 2010 with Facebook and Twitter proving to be the preferred networks. LinkedIn and YouTube held steady, but MySpace lost significant ground. The following are the key excerpts from this section: • Facebook is still used by more nonprofits than any other commercial social network with 86% of nonprofits indicating that they have a presence on this network. -
Privacy Considerations for Secure Identification in Social Wireless
Privacy considerations for secure identification in social wireless networks Master’s degree thesis ELENA KOZHEMYAK Academic supervisor: Sonja Buchegger, KTH External supervisor: Christian Gehrmann, SICS Examiner: Johan Håstad, KTH September 2011 iii Abstract This thesis focuses on privacy aspects of identification and key exchange schemes for mobile social networks. In particular, we consider identification schemes that combine wide area mobile communication with short range com- munication such as Bluetooth, WiFi. The goal of the thesis is to identify possi- ble security threats to personal information of users and to define a framework of security and privacy requirements in the context of mobile social networking. The main focus of the work is on security in closed groups and the procedures of secure registration, identification and invitation of users in mobile social net- works. The thesis includes an evaluation of the proposed identification and key exchange schemes and a proposal for a series of modifications that augments its privacy-preserving capabilities. The ultimate design provides secure and ef- fective identity management in the context of, and in respect to, the protection of user identity privacy in mobile social networks. Keywords: mobile social networks, identity privacy, identity management, pseudonyms. iv Sammanfattning Det här examensarbetet handlar om personlig integritet, identifiering och nyckelutbyte i mobila sociala nätverk. Speciellt adresserar vi dessa aspekter för system som kombinerar mobil kommunikation med kort räckviddskommunika- tion som Bluetooth och WiFi. Målet med detta arbete är att identifiera möjliga säkerhetshot mot användarinformation och att ta fram ett ramverk för säkerhet och krav på personlig integritet i mobila sociala nätverk. Tyngdpunkten i ar- betet ligger på säkerhet i slutna grupper och förfaranden för säker registrering, identifiering och inbjudan av användare i mobila sociala nätverk. -
Social Networks Influence Analysis
University of North Florida UNF Digital Commons UNF Graduate Theses and Dissertations Student Scholarship 2017 Social Networks Influence Analysis Doaa Gamal University of North Florida, [email protected] Follow this and additional works at: https://digitalcommons.unf.edu/etd Part of the Computer Sciences Commons Suggested Citation Gamal, Doaa, "Social Networks Influence Analysis" (2017). UNF Graduate Theses and Dissertations. 723. https://digitalcommons.unf.edu/etd/723 This Master's Thesis is brought to you for free and open access by the Student Scholarship at UNF Digital Commons. It has been accepted for inclusion in UNF Graduate Theses and Dissertations by an authorized administrator of UNF Digital Commons. For more information, please contact Digital Projects. © 2017 All Rights Reserved SOCIAL NETWORKS INFLUENCE ANALYSIS by Doaa H. Gamal A thesis submitted to the School of Computing in partial fulfillment of the requirements for the degree of Master of Science in Computing and Information Sciences UNIVERSITY OF NORTH FLORIDA SCHOOL OF COMPUTING Spring, 2017 Copyright (©) 2017 by Doaa H. Gamal All rights reserved. Reproduction in whole or in part in any form requires the prior written permission of Doaa H. Gamal or designated representative. ii This thesis titled “Social Networks Influence Analysis” submitted by Doaa H. Gamal in partial fulfillment of the requirements for the degree of Master of Science in Computing and Information Sciences has been Approved by the thesis committee: Date Dr. Karthikeyan Umapathy Thesis Advisor and Committee Chairperson Dr. Lakshmi Goel Dr. Sandeep Reddivari Accepted for the School of Computing: Dr. Sherif A. Elfayoumy Director of the School Accepted for the College of Computing, Engineering, and Construction: Dr. -
Delay of Social Search on Small-World Graphs ⋆
⋆ Delay of Social Search on Small-world Graphs Hazer Inaltekin a,∗ Mung Chiang b H. Vincent Poor b aThe University of Melbourne, Melbourne, VIC 3010, Australia bPrinceton University, Princeton, NJ 08544, United States Abstract This paper introduces an analytical framework for two small-world network models, and studies the delay of targeted social search by considering messages traveling between source and tar- get individuals in these networks. In particular, by considering graphs constructed on different network domains, such as rectangular, circular and spherical network domains, analytical solu- tions for the average social search delay and the delay distribution are obtained as a function of source-target separation, distribution of the number of long-range connections and geometri- cal properties of network domains. Derived analytical formulas are first verified by agent-based simulations, and then compared with empirical observations in small-world experiments. Our formulas indicate that individuals tend to communicate with one another only through their short-range contacts, and the average social search delay rises linearly, when the separation between the source and target is small. As this separation increases, long-range connections are more commonly used, and the average social search delay rapidly saturates to a constant value and stays almost the same for all large values of the separation. These results are qual- itatively consistent with experimental observations made by Travers and Milgram in 1969 as well as by others. Moreover, analytical distributions predicted by our models for the delay of social search are also compared with corresponding empirical distributions, and good statistical matches between them are observed. -
Social Network Analysis with Content and Graphs
SOCIAL NETWORK ANALYSIS WITH CONTENT AND GRAPHS Social Network Analysis with Content and Graphs William M. Campbell, Charlie K. Dagli, and Clifford J. Weinstein Social network analysis has undergone a As a consequence of changing economic renaissance with the ubiquity and quantity of » and social realities, the increased availability of large-scale, real-world sociographic data content from social media, web pages, and has ushered in a new era of research and sensors. This content is a rich data source for development in social network analysis. The quantity of constructing and analyzing social networks, but content-based data created every day by traditional and social media, sensors, and mobile devices provides great its enormity and unstructured nature also present opportunities and unique challenges for the automatic multiple challenges. Work at Lincoln Laboratory analysis, prediction, and summarization in the era of what is addressing the problems in constructing has been dubbed “Big Data.” Lincoln Laboratory has been networks from unstructured data, analyzing the investigating approaches for computational social network analysis that focus on three areas: constructing social net- community structure of a network, and inferring works, analyzing the structure and dynamics of a com- information from networks. Graph analytics munity, and developing inferences from social networks. have proven to be valuable tools in solving these Network construction from general, real-world data presents several unexpected challenges owing to the data challenges. Through the use of these tools, domains themselves, e.g., information extraction and pre- Laboratory researchers have achieved promising processing, and to the data structures used for knowledge results on real-world data. -
Soc C167 – Virtual Communities and Social Media
Soc C167 – Virtual Communities and Social Media University of California, Berkeley Tuesdays and Thursdays, 8:00am-9:30am 245 Li Ka Shing Instructor: Edwin Lin, Fall 2018 Instructor: Edwin Lin Email: [email protected] Office Hours: 487 Barrows Hall, Tuesdays 10am-1pm or by appointment Sign-up for regular OH at http://www.wejoinin.com/sheets/icwie Reader’s information will be posted on bCourses. Overview of Course Content: With the explosion of virtual communities and social media, technology and its effect on society has become a daily reality, invading all areas and aspects of our social lives. This ranges from pop culture, sports, and entertainment to political participation, sexual intimacy, and family. Everyone taking this course has some exposure to virtual communities and social media—even if one is unaware of the extent and depth of this exposure in their lives. As a result, this course is not about discovering new ideas and never-before-seen concepts, but rather providing some tools and perspectives to understand aspects of society that we are somewhat familiar with. Put another way, this course seeks to understand a growing aspect of our society through a different lens of understanding. Explicitly, the goals of this course are: 1) to provide a survey of subfields in social media research, 2) to expose you to what social science research looks like in these subfields, and 3) to provide a space for you to reflect and personally interact with what virtual communities and social media means in your own life. Email Policy: I am usually very good about answering emails, but please leave at least 2 days for me to get to you, especially over the weekend (I may not get to you until Monday/Tuesday). -
Building on Young People's Experiences of Economic Adversity
Making a Difference: Building on Young People’s Experiences of Economic Adversity FINAL REPORT Jennifer Skattebol, Peter Saunders, Gerry Redmond, Megan Bedford and Bettina Cass Social Policy Research Centre University of New South Wales August 2012 For a full list of SPRC Publications visit: www.sprc.unsw.edu.au or contact: Publications, SPRC, Level 2, John Goodsell Building University of New South Wales, Sydney, NSW, 2052, Australia. Telephone: +61 (2) 9385 7800 Fax: +61 (2) 9385 7838 Email: [email protected] ISSN: 1446-4179 ISBN: 978-0-7334-3172-2 Published: August 2012 The views expressed in this publication do not represent any official position on the part of the Social Policy Research Centre, but the views of the individual authors. MAKING A DIFFERENCE: FINAL REPORT Research Team: Social Policy Research Centre, University of New South Wales Professor Peter Saunders, Professor Bettina Cass, Dr Gerry Redmond* (Chief Investigators), Dr Jen Skattebol, Megan Bedford (nee Griffiths). Partner Investigators: The Brotherhood of St Laurence: Janet Taylor The Smith Family (formerly at Mission Australia): Anne Hampshire The University of Bath: Dr Tess Ridge * Gerry Redmond is now at the School of Social and Policy Studies, Flinders University of South Australia Contact for follow up: Jen Skattebol, Social Policy Research Centre, University of New South Wales, Sydney NSW 2052, Ph: (02) 9385 7816, [email protected] MAKING A DIFFERENCE: FINAL REPORT Acknowledgements First and foremost, we thank all the young people who generously shared their stories and insights about economic adversity. We have also benefitted enormously from the insights of the parents we interviewed, who helped us understand the complexities of raising children on low incomes. -
Contextual Social Networking
Technische Universit¨atM¨unchen Fakult¨atf¨urInformatik Contextual Social Networking Dipl.-Phys., Dipl.-Inform. Dr.rer.nat. Georg Groh Habilitationsschrift Mitglieder des Habilitationskomittees: Prof. Dr. Johann Schlichter Prof. Dr. Bettina Berendt Prof. Dr. Helmut Seidl Kurz-Zusammenfassung Der zentrale Gegenstand der vorliegenden Arbeit ist die vielschichtige Frage, wie Kontexte detektiert und abgeleitet werden k¨onnen,die dazu dienen k¨onnen,neuar- tige kontextbewusste Social Networking Dienste zu schaffen und bestehende Di- enste in ihrem Nutzwert zu verbessern. Die (noch nicht abgeschlossene) erfolgre- iche Umsetzung dieses Programmes f¨uhrtauf ein Konzept, das man als Contextual Social Networking bezeichnen kann. In einem grundlegenden ersten Teil werden die eng zusammenh¨angendenGebiete Contextual Social Networking, Mobile Social Networking und Decentralized Social Networking mit verschiedenen Methoden und unter Fokussierung auf verschiedene Detail-Aspekte n¨aherbeleuchtet und in Zusam- menhang gesetzt. Ein zweiter Teil behandelt die Frage, wie soziale Kurzzeit- und Langzeit-Kontexte als f¨urdas Social Networking besonders interessante Formen von Kontext gemessen und abgeleitet werden k¨onnen. Ein Fokus liegt hierbei auf NLP Methoden zur Charakterisierung sozialer Beziehungen als einer typischen Form von sozialem Langzeit-Kontext. Ein weiterer Schwerpunkt liegt auf Methoden aus dem Mobile Social Signal Processing zur Ableitung sinnvoller sozialer Kurzzeit-Kontexte auf der Basis von Interaktionsgeometrien und Audio-Daten. Es wird ferner unter- sucht, wie pers¨onliche soziale Agenten Kontext-Elemente verschiedener Abstraktion- sgrade miteinander kombinieren k¨onnen.Der dritte Teil behandelt neuartige und verbesserte Konzepte f¨urkontextbewusste Social Networking Dienste. Es werden spezielle Formen von Awareness Diensten, neue Formen von sozialem Information Retrieval, Konzepte f¨urkontextbewusstes Privacy Management und Dienste und Plattformen zur Unterst¨utzungvon Open Innovation und Kreativit¨atuntersucht und vorgestellt.