Making Privacy a Fundamental Component of Web Resources
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Opensocial: from Social Networks to Social Ecosystem
2007 Inaugural IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2007) OpenSocial: From Social Networks to Social Ecosystem Juliana Mitchell-WongI, Ryszard Kowalczyk', Albena Rosheloval, Bruce Joy2 and Henry Tsai2 'Centre for Information Technology Research, Swinburne University, Hawthorn, VIC, Australia e-mail: (jmitchellwong, rkowalczyk, aroshelova)@ict.swin.edu.au 2Everyday Interactive Networks, Hawthorn, VIC, Australia, e-mail: (brucejoy, henrytsai)@ein.com.au ties to be managed using the one application. GAIM' and Abstract-Unlike the physical world where social ecosys- Trillian2 are two example applications for instant messaging tems are formed from the integrated and managed relation- communities. These applications however do not address ships between individuals and organisations, the online digital any of the fundamental issues: the independent and isolated world consists of many independent, isolated and incompatible nature of communities, the ignorance to overlapping rela- social networks established by organisations that have over- lapping and manually managed relationships. To bring the tionships in different communities, or the manual manage- online digital world in-line with the physical world, integration ment of relationships. of social networks, identification of overlapping relationships Communities on the other hand have moved towards in social networks, and automation of relationship manage- forming alliances with other communities to enable content ment in social networks are required. OpenSocial is a frame- search and retrieval between them by using common ontol- work that enables social networks to interlink and self- use common organise into a social ecosystem guided by the policies of indi- ogy [1]. The of ontology enables communities viduals and organisations. to interlink, but each of these communities assumes that their policies are agreeable by every community in the alli- Index Terms-social framework, self-organised, self- ance. -
Obtaining and Using Evidence from Social Networking Sites
U.S. Department of Justice Criminal Division Washington, D.C. 20530 CRM-200900732F MAR 3 2010 Mr. James Tucker Mr. Shane Witnov Electronic Frontier Foundation 454 Shotwell Street San Francisco, CA 94110 Dear Messrs Tucker and Witnov: This is an interim response to your request dated October 6, 2009 for access to records concerning "use of social networking websites (including, but not limited to Facebook, MySpace, Twitter, Flickr and other online social media) for investigative (criminal or otherwise) or data gathering purposes created since January 2003, including, but not limited to: 1) documents that contain information on the use of "fake identities" to "trick" users "into accepting a [government] official as friend" or otherwise provide information to he government as described in the Boston Globe article quoted above; 2) guides, manuals, policy statements, memoranda, presentations, or other materials explaining how government agents should collect information on social networking websites: 3) guides, manuals, policy statements, memoranda, presentations, or other materials, detailing how or when government agents may collect information through social networking websites; 4) guides, manuals, policy statements, memoranda, presentations and other materials detailing what procedures government agents must follow to collect information through social- networking websites; 5) guides, manuals, policy statements, memorandum, presentations, agreements (both formal and informal) with social-networking companies, or other materials relating to privileged user access by the Criminal Division to the social networking websites; 6) guides, manuals, memoranda, presentations or other materials for using any visualization programs, data analysis programs or tools used to analyze data gathered from social networks; 7) contracts, requests for proposals, or purchase orders for any visualization programs, data analysis programs or tools used to analyze data gathered from social networks. -
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). -
International Students' Use of Social Network Sites For
INTERNATIONAL STUDENTS’ USE OF SOCIAL NETWORK SITES FOR COLLEGE CHOICE ACTIVITIES AND DECISION MAKING Natalia Rekhter Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the School of Education Indiana University June 2017 Accepted by the Graduate Faculty, Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Doctoral Dissertation Committee _______________________________________________________________ Committee Chairperson, Robin Hughes, Ph.D. _______________________________________________________________ Committee Member, Donald Hossler, Ph.D. _______________________________________________________________ Committee Member, Gary Pike, Ph.D. _______________________________________________________________ Committee Member, James Scheurich, Ph.D. _______________________________________________________________ Committee Member, Eric Wright, Ph.D. Date of Defense March 9, 2017 ii I dedicate this dissertation to my husband, Mark Rekhter, M.D., Ph.D. Thank you for always encouraging me to persist, believing in me, listening to my endless self-doubts, always finding words of reassurance, and for being by my side all the way. I also dedicate this dissertation to my sons Ilya and Misha, who inspired me by their own successes, intelligence, and dedication. iii Acknowledgements I was able to complete this dissertation research only because of the encouragement, guidance, support and care of my dissertation research advisor Dr. Donald Hossler. Dr. Hossler, thank you for your infinite patience, for challenging my views, for always inspiring me to do better and reach higher, for your suggestions, your guidance, your feedback and your trust in me. An opportunity to work with you and learn from you made a profound impact on me as a person and as a researcher. -
Social Networking: a Guide to Strengthening Civil Society Through Social Media
Social Networking: A Guide to Strengthening Civil Society Through Social Media DISCLAIMER: The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. Counterpart International would like to acknowledge and thank all who were involved in the creation of Social Networking: A Guide to Strengthening Civil Society through Social Media. This guide is a result of collaboration and input from a great team and group of advisors. Our deepest appreciation to Tina Yesayan, primary author of the guide; and Kulsoom Rizvi, who created a dynamic visual layout. Alex Sardar and Ray Short provided guidance and sound technical expertise, for which we’re grateful. The Civil Society and Media Team at the U.S. Agency for International Development (USAID) was the ideal partner in the process of co-creating this guide, which benefited immensely from that team’s insights and thoughtful contributions. The case studies in the annexes of this guide speak to the capacity and vision of the featured civil society organizations and their leaders, whose work and commitment is inspiring. This guide was produced with funding under the Global Civil Society Leader with Associates Award, a Cooperative Agreement funded by USAID for the implementation of civil society, media development and program design and learning activities around the world. Counterpart International’s mission is to partner with local organizations - formal and informal - to build inclusive, sustainable communities in which their people thrive. We hope this manual will be an essential tool for civil society organizations to more effectively and purposefully pursue their missions in service of their communities. -
Ray Cromwell
Building Applications with Google APIs Ray Cromwell Monday, June 1, 2009 “There’s an API for that” • code.google.com shows 60+ APIs • full spectrum (client, server, mobile, cloud) • application oriented (android, opensocial) • Does Google have a Platform? Monday, June 1, 2009 Application Ecosystem Client REST/JSON, GWT, Server ProtocolBuffers Earth PHP Java O3D App Services Media Docs Python Ruby Utility Blogger Spreadsheets Maps/Geo JPA/JDO/Other Translate Base Datastore GViz Social MySQL Search OpenSocial Auth FriendConnect $$$ ... GData Contacts AdSense Checkout Monday, June 1, 2009 Timefire • Store and Index large # of time series data • Scalable Charting Engine • Social Collaboration • Story Telling + Video/Audio sync • Like “Google Maps” but for “Time” Monday, June 1, 2009 Android Version 98% Shared Code with Web version Monday, June 1, 2009 Android • Full API stack • Tight integration with WebKit browser • Local database, 2D and 3D APIs • External XML UI/Layout system • Makes separating presentation from logic easier, benefits code sharing Monday, June 1, 2009 How was this done? • Google Web Toolkit is the Foundation • Target GWT JRE as LCD • Use Guice Dependency Injection for platform-specific APIs • Leverage GWT 1.6 event system Monday, June 1, 2009 Example App Code Device/Service JRE interfaces Guice Android Browser Impl Impl Android GWT Specific Specific Monday, June 1, 2009 Shared Widget Events interface HasClickHandler interface HasClickHandler addClickHandler(injectedHandler) addClickHandler(injectedHandler) Gin binds GwtHandlerImpl -
Emergency Management in Social Media Generation
EMERGENCY MANAGEMENT IN SOCIAL MEDIA GENERATION Deliverable 5.1 Identification of Social Network Providers and API Design Final Thomas Ludwig1, Christian Reuter1 University of Siegen1 September 2014 Work Package 5 Project Coordinator Prof. Dr.‐Ing. Rainer Koch (University of Paderborn) 7th Framework Programme for Research and Technological Development COOPERATION SEC‐2013.6.1‐1: The impact of social media in emergencies D5.1: Identification of Social Network Providers and API Design, Version V1, PU Distribution level Public (PU) Due date 30/09/2014 (M6) Sent to coordinator 30/09/2014 No. of document D5.1 Title Identification of Social Network Providers and API Design Status & Version Final Work Package 5: Information Collection and Presentation Related Deliverables D3.3, D4.1, D5.2, D5.4 Leading Partner University of Siegen Leading Authors Thomas Ludwig, University of Siegen Christian Reuter, University of Siegen Contributors Marc‐André Kaufhold, University of Siegen Federico Sangiorgio, IES (section 5.3) Federica Toscano, IES (section 5.3) Massimo Cristaldi, IES (section 5.3) Mark Tolley, OCC (section 5.4 and 5.5) Mel Mason, OCC (section 5.4 and 5.5) Reviewers Matthias Moi, University of Paderborn Keywords Social Network Provider, API, Open Social, Activity Streams, Facebook, Twitter, Google+, YouTube, Tumblr, Instagram This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 608352. I D5.1: Identification of Social Network -
Building the Polargrid Portal Using Web 2.0 and Opensocial
Building the PolarGrid Portal Using Web 2.0 and OpenSocial Zhenhua Guo, Raminderjeet Singh, Marlon Pierce Community Grids Laboratory, Pervasive Technology Institute Indiana University, Bloomington 2719 East 10th Street, Bloomington, Indiana 47408 {zhguo, ramifnu, marpierc}@indiana.edu ABSTRACT service gateway are still useful, it is time to revisit some of the Science requires collaboration. In this paper, we investigate the software and standards used to actually build gateways. Two feasibility of coupling current social networking techniques to important candidates are the Google Gadget component model science gateways to provide a scientific collaboration model. We and the REST service development style for building gateways. are particularly interested in the integration of local and third Gadgets are attractive for three reasons. First, they are much party services, since we believe the latter provide more long-term easier to write than portlets and are to some degree framework- sustainability than gateway-provided service instances alone. Our agnostic. Second, they can be integrated into both iGoogle prototype use case for this study is the PolarGrid portal, in which (Google’s Start Page portal) and user-developed containers. we combine typical science portal functionality with widely used Finally, gadgets are actually a subset of the OpenSocial collaboration tools. Our goal is to determine the feasibility of specification [5], which enables developers to provide social rapidly developing a collaborative science gateway that networking capabilities. Standardization is useful but more incorporates third-party collaborative services with more typical importantly one can plug directly into pre-existing social networks science gateway capabilities. We specifically investigate Google with millions of users without trying to establish a new network Gadget, OpenSocial, and related standards. -
Collaborative Filtering for Orkut Communities: Discovery of User Latent Behavior
Collaborative Filtering for Orkut Communities: Discovery of User Latent Behavior Wen-Yen Chen∗ Jon-Chyuan Chu∗ Junyi Luan∗ University of California MIT Peking University Santa Barbara, CA 93106 Cambridge, MA 02139 Beijing 100084, China [email protected] [email protected] [email protected] Hongjie Bai Yi Wang Edward Y. Chang Google Research Google Research Google Research Beijing 100084, China Beijing 100084, China Beijing 100084, China [email protected] [email protected] [email protected] ABSTRACT General Terms Users of social networking services can connect with each Algorithms, Experimentation other by forming communities for online interaction. Yet as the number of communities hosted by such websites grows Keywords over time, users have even greater need for effective commu- nity recommendations in order to meet more users. In this Recommender systems, collaborative filtering, association paper, we investigate two algorithms from very different do- rule mining, latent topic models, data mining mains and evaluate their effectiveness for personalized com- munity recommendation. First is association rule mining 1. INTRODUCTION (ARM), which discovers associations between sets of com- munities that are shared across many users. Second is latent Much information is readily accessible online, yet we as Dirichlet allocation (LDA), which models user-community humans have no means of processing all of it. To help users co-occurrences using latent aspects. In comparing LDA with overcome the information overload problem and sift through ARM, we are interested in discovering whether modeling huge amounts of information efficiently, recommender sys- low-rank latent structure is more effective for recommen- tems have been developed to generate suggestions based on dations than directly mining rules from the observed data. -
An Analysis of Social Network Connect Services∗
AN ANALYSIS OF SOCIAL NETWORK CONNECT SERVICES∗ Antonio Tapiador1,V´ıctor Sanchez´ 1 and Joaqu´ın Salvachua´ 1 1Universidad Politecnica´ de Madrid, Av. Complutense 30, Madrid, Spain fatapiador, vsanchez, [email protected] Keywords: Social Networks; API; OAuth; REST: mashups Abstract: Social network platforms are increasingly becoming identity providers and a media for showing multiple types of activity from third-party web sites. In this article, we analyze the services provided by seven of the most popular social network platforms. Results show OAuth emerging as the authentication and authorization protocol, giving support to three types of APIs, client-side or Javascript, server-side or representational state transfer (REST) and streaming. JSON is the most popular format, but there a considerable variety of resource types and a lack of representation standard, which makes harder for the third-party developer integrating with several services. 1 INTRODUCTION for instance: finding friends in the platform. On the other hand, this is also interesting for the provider that Popular social network platforms are leveraging iden- is now showing new kinds of activity in the streams. tity services. They provide authentication commodi- An attempt to provide a unified connect service ties, relieving third-party websites, applications and was made by OpenSocial (Hasel,¨ 2011), a standard services from managing user data. They are also an promoted by Google, Myspace and others, which has increasingly important media. Using already exis- been adopted to some extend. tent identity providers can improve the engagement In this article, we provide an in deep analysis of of users in those third-party sites. -
Personal & Contextual Portability and Plasticity with Opensocial
Widgets and Spaces: Personal & Contextual Portability and Plasticity with OpenSocial THÈSE NO 5804 (2013) PRÉSENTÉE LE 30 AOUT 2013 À LA FACULTÉ DES SCIENCES ET TECHNIQUES DE L'INGÉNIEUR INSTITUT DE GÉNIE ÉLECTRIQUE ET ÉLECTRONIQUE PROGRAMME DOCTORAL EN INFORMATIQUE, COMMUNICATIONS ET INFORMATION ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE POUR L'OBTENTION DU GRADE DE DOCTEUR ÈS SCIENCES PAR Evgeny BOGDANOV acceptée sur proposition du jury: Dr A. Karimi, président du jury Dr D. Gillet, Dr C. Salzmann, directeurs de thèse Dr E. L.-C. Law, rapporteur Dr L. Moccozet, rapporteur Dr C. Ullrich, rapporteur Suisse 2013 A person who never made a mistake never tried anything new — Albert Einstein To my parents. Acknowledgments This thesis is only partially my work. It would not be possible without my friends, relatives, colleagues who were helping me (knowingly or unknowingly) during this PhD journey. I am hugely grateful to all of you! Denis Gillet and Christophe Salzmann. Thank you for accepting me into your research family, for giving me the freedom in choosing and shaping the research directions according to my interests, for being my mentors. After our discussions I was always leaving your office inspired and highly motivated. This is indeed something! I would like to thank my thesis committee members for reading my thesis and being my examinators: Alireza Karimi, Effie Lai-Chong Law, Carsten Ullrich, Laurent Moccozet. My research work was partially funded through the following projects: ROLE, PALETTE, SWITCH, GO-LAB. I am thankful to these projects and I did appreciate working in them. Stéphane Sire, I owe you a huge chunk of my thesis and my personal development. -
Social CRM in Higher Education Introduction Many Colleges And
Social CRM in Higher Education Introduction Many colleges and universities employ sophisticated CRM (customer relationship management) tools to manage relationships with their constituents. Campuses use CRM to help recruit high- quality students, communicate with parents, manage relationships with current students, promote events, and keep in contact with alumni. The growing popularity of Web 2.0 social network tools creates a new challenge for colleges. Many of their most important constituents, late-teen and early twenty-year olds, are abandoning traditional CRM media such as print, email, and telephones in favor of social media. Having invested heavily in CRM during the past decade campuses must now retool their communication strategies to incorporate social media. The integration of social networking sites into CRM systems is known as “Social CRM.” Social networking sites include blogs, wikis, social bookmarking, consumer reviews, and video sharing. Table 1 provides a list of Web 2.0 tools and the names of popular web sites that provide these tools. The popularity of social software sites has increased dramatically in recent years. Four of the top ten most popular web sites in April 2012 are social software sites (Alexa.com, 2012). Social software is very popular with college students. A 2007 survey of 31,500 first-year college students found that 94-percent used social networking sites at least weekly (Higher Education Research Institute, 2007). RateMyProfessors.com, a social networking site that allows anonymous ratings of professors, is visited by approximately 3 million college students each month. It claims to publish over 10 million student-generated ratings of more than one million professors (RateMyProfessors.com, 2010).