Facebook: Building a Business from the Social Graph
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Digital Platform As a Double-Edged Sword: How to Interpret Cultural Flows in the Platform Era
International Journal of Communication 11(2017), 3880–3898 1932–8036/20170005 Digital Platform as a Double-Edged Sword: How to Interpret Cultural Flows in the Platform Era DAL YONG JIN Simon Fraser University, Canada This article critically examines the main characteristics of cultural flows in the era of digital platforms. By focusing on the increasing role of digital platforms during the Korean Wave (referring to the rapid growth of local popular culture and its global penetration starting in the late 1990s), it first analyzes whether digital platforms as new outlets for popular culture have changed traditional notions of cultural flows—the forms of the export and import of popular culture mainly from Western countries to non-Western countries. Second, it maps out whether platform-driven cultural flows have resolved existing global imbalances in cultural flows. Third, it analyzes whether digital platforms themselves have intensified disparities between Western and non- Western countries. In other words, it interprets whether digital platforms have deepened asymmetrical power relations between a few Western countries (in particular, the United States) and non-Western countries. Keywords: digital platforms, cultural flows, globalization, social media, asymmetrical power relations Cultural flows have been some of the most significant issues in globalization and media studies since the early 20th century. From television programs to films, and from popular music to video games, cultural flows as a form of the export and import of cultural materials have been increasing. Global fans of popular culture used to enjoy films, television programs, and music by either purchasing DVDs and CDs or watching them on traditional media, including television and on the big screen. -
CWD FTC Facebook Credits Complaint
June 28, 2011 VIA EMAIL AND FEDEX OVERNIGHT Donald S. Clark Secretary U.S. Federal Trade Commission 600 Pennsylvania Avenue, NW Washington, D.C. 20580 Re: Facebook, Inc. and Facebook Credits Dear Secretary Clark: Enclosed is a Complaint, Request for Investigation, Injunction, and Other Relief submitted by Consumer Watchdog regarding Facebook, Inc. and its virtual currency, Facebook Credits. As explained in the complaint, Consumer Watchdog believes that Facebook is engaging in anticompetitive and unfair business practices in the market for virtual goods purchased in social games through its Facebook Credits terms with game developers. We request that, pursuant to the Federal Trade Commission’s authority under section 5 of the Federal Trade Commission Act and 16 C.F.R. § 2.5, the Commission investigate Facebook’s anticompetitive conduct and enjoin Facebook from engaging in conduct that violates sections 2 and 1 of the Sherman act, and section 5 of the Federal Trade Commission Act. Please let me know if you have any questions. Sincerely, Harvey Rosenfield cc via email: Jon Leibowitz, Chairman William E. Kovacic J. Thomas Rosch Julie Brill Edith Ramirez Before the Federal Trade Commission Washington, DC In the Matter of ) ) Facebook, Inc. and ) Facebook Credits ) ) ________________________________) Complaint, Request for Investigation, Injunction, and Other Relief I. Introduction 1. Consumer Watchdog submits this Complaint to the Federal Trade Commission (“FTC” or “the Commission”) requesting an investigation and injunctive relief concerning the anticompetitive terms and impact of Facebook Credits, an ambitiously revamped virtual currency system recently announced by Facebook, Inc. (“Facebook”), the dominant social networking company in the United States and the world. -
M&A @ Facebook: Strategy, Themes and Drivers
A Work Project, presented as part of the requirements for the Award of a Master Degree in Finance from NOVA – School of Business and Economics M&A @ FACEBOOK: STRATEGY, THEMES AND DRIVERS TOMÁS BRANCO GONÇALVES STUDENT NUMBER 3200 A Project carried out on the Masters in Finance Program, under the supervision of: Professor Pedro Carvalho January 2018 Abstract Most deals are motivated by the recognition of a strategic threat or opportunity in the firm’s competitive arena. These deals seek to improve the firm’s competitive position or even obtain resources and new capabilities that are vital to future prosperity, and improve the firm’s agility. The purpose of this work project is to make an analysis on Facebook’s acquisitions’ strategy going through the key acquisitions in the company’s history. More than understanding the economics of its most relevant acquisitions, the main research is aimed at understanding the strategic view and key drivers behind them, and trying to set a pattern through hypotheses testing, always bearing in mind the following question: Why does Facebook acquire emerging companies instead of replicating their key success factors? Keywords Facebook; Acquisitions; Strategy; M&A Drivers “The biggest risk is not taking any risk... In a world that is changing really quickly, the only strategy that is guaranteed to fail is not taking risks.” Mark Zuckerberg, founder and CEO of Facebook 2 Literature Review M&A activity has had peaks throughout the course of history and different key industry-related drivers triggered that same activity (Sudarsanam, 2003). Historically, the appearance of the first mergers and acquisitions coincides with the existence of the first companies and, since then, in the US market, there have been five major waves of M&A activity (as summarized by T.J.A. -
A Survey of Adversarial Learning on Graph
A Survey of Adversarial Learning on Graph LIANG CHEN, Sun Yat-sen University of China JINTANG LI, Sun Yat-sen University of China JIAYING PENG, Sun Yat-sen University of China TAO XIE, Sun Yat-sen University of China ZENGXU CAO, Hangzhou Dianzi University of China KUN XU, Sun Yat-sen University of China XIANGNAN HE, University of Science and Technology of China ZIBIN ZHENG∗, Sun Yat-sen University of China Deep learning models on graphs have achieved remarkable performance in various graph analysis tasks, e.g., node classication, link prediction and graph clustering. However, they expose uncertainty and unreliability against the well-designed inputs, i.e., adversarial examples. Accordingly, a line of studies have emerged for both aack and defense addressed in dierent graph analysis tasks, leading to the arms race in graph adversarial learning. Despite the booming works, there still lacks a unied problem denition and a comprehensive review. To bridge this gap, we investigate and summarize the existing works on graph adversarial learning tasks systemically. Specically, we survey and unify the existing works w.r.t. aack and defense in graph analysis tasks, and give appropriate denitions and taxonomies at the same time. Besides, we emphasize the importance of related evaluation metrics, investigate and summarize them comprehensively. Hopefully, our works can provide a comprehensive overview and oer insights for the relevant researchers. More details of our works are available at hps://github.com/gitgiter/Graph-Adversarial-Learning. CCS Concepts: •Computing methodologies ! Semi-supervised learning settings; Neural networks; •Security and privacy ! So ware and application security; •Networks ! Network reliability; Additional Key Words and Phrases: adversarial learning, graph neural networks, adversarial aack and defense, adversarial examples, network robustness ACM Reference format: Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, and Zibin Zheng. -
Facebook Coin: What's the Realistic Angle?
MARCH 14, 2019, 6:16PM EDT Facebook Coin: What’s The Realistic Angle? BY RYAN TODD It’s that time of year, the post-earnings lull where equity analysts take time to digest new company information and either reaffirm their views or offer material changes to their theses. For some looking to make a splash, the occasional brow-raising bold calls trickle out as well. This week, Barclays’ internet analyst Ross Sandler released a note to clients which walked through his bullish view on Facebook Coin, suggesting the project could unlock as much as $19 billion in incremental revenue by 2021, and a conservative base-case forecast of $3 billion. That’s not a typo. Initially reported back in December by Bloomberg, Facebook’s blockchain team has apparently been developing a stablecoin for payments within WhatsApp. More recently, the New York Times published a report, showing the surprising speed of development of Facebook’s stablecoin. According to the report, Facebook had held talks with exchanges about listing its stablecoin, which will be pegged “to a basket of different foreign currencies, rather than just the dollar.” Additionally, the Facebook blockchain team is prepared to launch this stablecoin in the first half of 2019, according to NYT. Here’s what you need to know: Facebook’s experiment with Facebook Credits offers FB Coin clues Based on Barclays’ channel checks and note to investors, FB Coin may actually start out as a single purpose virtual token that mimics the functionality Facebook Credits offered in the early 2010s. Facebook Credits was a program that allowed the purchase of an in-platform token with a credit card/PayPal ($1 = 10FB credits) in order to use as a currency for paid applications and in-game items. -
Citron Research Backing up the Sleigh on Facebook – 2019 S&P
December 26, 2018 Citron Research Backing Up the Sleigh on Facebook – 2019 S&P Stock of the Year Separating the Noise from Reality will take Facebook back to $160 Two and a half years ago, Citron Research said that FB was a long-term short and that engagement levels would eventually top out. At the time, the stock was trading in the $120 range. In the past 30 months FB has more than doubled its quarterly revenue and concerns of engagement have shifted to concerns of addiction, yet the stock is back down in $120 range. Time to back up the sleigh! Yet, 2018 is a year that Facebook shareholders would like to forget, as the stock is down 30% YTD and over 40% from its recent high. Yet, while the media has reported on one scandal after the next and the NYT even tried to promote a #deletefacebook movement. The truth is revenues and more important user base has seen little impact. As you read this article Facebook has 2.2 billion active users and has grown revenues 33% q over q during this controversial 12 months. Considering the user base excludes China, this is a lead that has no second place. Going Forward There are only three talking points on Facebook that matter: 1. Putting Facebook Valuation in Perspective 2. Is Facebook Evil or Investible? 3. Instagram – the Anti CRaP experience © Copyright 2018 | Citron Research | www.citronresearch.com | All Inquiries – [email protected] December 26, 2018 Valuation in Perspective Facebook is growing faster than 95% of the S&P with margins higher than about 90% of the S&P. -
Facebook Timeline
Facebook Timeline 2003 October • Mark Zuckerberg releases Facemash, the predecessor to Facebook. It was described as a Harvard University version of Hot or Not. 2004 January • Zuckerberg begins writing Facebook. • Zuckerberg registers thefacebook.com domain. February • Zuckerberg launches Facebook on February 4. 650 Harvard students joined thefacebook.com in the first week of launch. March • Facebook expands to MIT, Boston University, Boston College, Northeastern University, Stanford University, Dartmouth College, Columbia University, and Yale University. April • Zuckerberg, Dustin Moskovitz, and Eduardo Saverin form Thefacebook.com LLC, a partnership. June • Facebook receives its first investment from PayPal co-founder Peter Thiel for US$500,000. • Facebook incorporates into a new company, and Napster co-founder Sean Parker becomes its president. • Facebook moves its base of operations to Palo Alto, California. N. Lee, Facebook Nation, DOI: 10.1007/978-1-4614-5308-6, 211 Ó Springer Science+Business Media New York 2013 212 Facebook Timeline August • To compete with growing campus-only service i2hub, Zuckerberg launches Wirehog. It is a precursor to Facebook Platform applications. September • ConnectU files a lawsuit against Zuckerberg and other Facebook founders, resulting in a $65 million settlement. October • Maurice Werdegar of WTI Partner provides Facebook a $300,000 three-year credit line. December • Facebook achieves its one millionth registered user. 2005 February • Maurice Werdegar of WTI Partner provides Facebook a second $300,000 credit line and a $25,000 equity investment. April • Venture capital firm Accel Partners invests $12.7 million into Facebook. Accel’s partner and President Jim Breyer also puts up $1 million of his own money. -
Facebook Credits 2012 a Merchant's Perspective
Facebook Credits 2012 A Merchant’s Perspective The Leader in Social Entertainment February 23, 2012 _________________________________________________________________________________________________ Facebook Credits Overview Facebook Credits are a virtual currency that can be used to buy virtual goods, digital goods and other select products on the Facebook platform. They can be purchased using a credit card, PayPal, a mobile phone, gift cards and 50+ payment methods in 47 currencies. This form of payment was introduced to make it easy to pay for virtual goods and currency in applications across the Facebook platform. Facebook Credits are valued at approximately $0.10 each, but discounts are available when bought in bulk. Facebook keeps 30 percent of transactions and the developer keeps 70 percent. So if a merchant charges 100 Credits ($10.00) for a virtual or digital good, Facebook earns 30 Credits or $3.00 per transaction and the developer retains $7.00. On July 1, 2011, Facebook Credits became mandatory for Facebook Games and Facebook Deals; and are highly recommended for all other applications on Facebook. Facebook Credits can be purchased or earned and can be used for digital goods such as movies and music, but cannot be used for physical goods like clothing or DVDs. Facebook Credits are valid worldwide and can be subject to state and local tax if the digital good is a taxable item. Users accumulate Facebook Credits in their Facebook accounts. Facebook Credits can be purchased or earned outside of Facebook, on merchant websites for example, but can only be spent within the social network. An entertainment company or merchant can give Facebook Credits to users as an incentive or they can receive Facebook Credits for payment on their virtual or digital goods. -
Graph Search Process in Social Networks and It's Challenges
Preeti Narooka et al | IJCSET(www.ijcset.net) | June 2016 | Vol 6, Issue 6, 228-232 Graph Search Process in Social Networks and it’s Challenges Ms. Preeti Narooka1, Dr. Sunita Chaodhary2 Ph. D Student, Banasthali University, Jaipur, India1 Former Associate Professor, Banasthali University, Jaipur, India 2 Abstract: - Social networking sites are grabbing attention of complex network where huge amount of data can be millions of users and it resulted into creation of humongous distribute and store easily. data on these networking sites. Number of users on any networking sites denotes the complexity and size of the data. Graph algorithm is the efficient tool which defines the These developments have thrown a challenge in front of relationships between all objects on social cloud. In today’s computer scientists to optimize the search operations on these scenario, users are increasing in Social Networks in leaps social networking sites. This paper outlines the Graph theory and bounds. With the increase of users, there is a rapid as a tool for search operation on social networking sites & for increment in number of objects on social graph, results in optimization of search graph operation map reducing exponential growth of the graph size [12]. Accessing useful technology is discussed. In this paper on one side, different information from exponentially growing graph in fast traditional system of social networking and graph algorithm are elaborated. On the other side, various application and manner is a very difficult challenging task. To provide different issues related to the graph algorithm and social solution for the aforesaid problem it is the need to optimize networking are discussed in detail. -
Unicorn: a System for Searching the Social Graph
Unicorn: A System for Searching the Social Graph Michael Curtiss, Iain Becker, Tudor Bosman, Sergey Doroshenko, Lucian Grijincu, Tom Jackson, Sandhya Kunnatur, Soren Lassen, Philip Pronin, Sriram Sankar, Guanghao Shen, Gintaras Woss, Chao Yang, Ning Zhang Facebook, Inc. ABSTRACT rative of the evolution of Unicorn's architecture, as well as Unicorn is an online, in-memory social graph-aware index- documentation for the major features and components of ing system designed to search trillions of edges between tens the system. of billions of users and entities on thousands of commodity To the best of our knowledge, no other online graph re- servers. Unicorn is based on standard concepts in informa- trieval system has ever been built with the scale of Unicorn tion retrieval, but it includes features to promote results in terms of both data volume and query volume. The sys- with good social proximity. It also supports queries that re- tem serves tens of billions of nodes and trillions of edges quire multiple round-trips to leaves in order to retrieve ob- at scale while accounting for per-edge privacy, and it must jects that are more than one edge away from source nodes. also support realtime updates for all edges and nodes while Unicorn is designed to answer billions of queries per day at serving billions of daily queries at low latencies. latencies in the hundreds of milliseconds, and it serves as an This paper includes three main contributions: infrastructural building block for Facebook's Graph Search • We describe how we applied common information re- product. In this paper, we describe the data model and trieval architectural concepts to the domain of the so- query language supported by Unicorn. -
Graph Generators: State of the Art and Open Challenges 0:3 Across All the Categories of Graph Generators That We Consider
0 Graph Generators: State of the Art and Open Challenges ANGELA BONIFATI, Lyon 1 University, France IRENA HOLUBOVA´ , Charles University, Prague, Czech Republic ARNAU PRAT-PEREZ´ , Sparsity-Technologies, Barcelona, Spain SHERIF SAKR, University of Tartu, Estonia The abundance of interconnected data has fueled the design and implementation of graph generators repro- ducing real-world linking properties, or gauging the effectiveness of graph algorithms, techniques and appli- cations manipulating these data. We consider graph generation across multiple subfields, such as Semantic Web, graph databases, social networks, and community detection, along with general graphs. Despite the disparate requirements of modern graph generators throughout these communities, we analyze them under a common umbrella, reaching out the functionalities, the practical usage, and their supported operations. We argue that this classification is serving the need of providing scientists, researchers and practitioners with the right data generator at hand for their work. This survey provides a comprehensive overview of the state-of-the-art graph generators by focusing on those that are pertinent and suitable for several data-intensive tasks. Finally, we discuss open challenges and missing requirements of current graph generators along with their future extensions to new emerging fields. 1. INTRODUCTION Graphs are ubiquitous data structures that span a wide array of scientific disciplines and are a subject of study in several subfields of computer science. Nowadays, due to the dawn of numerous tools and applications manipulating graphs, they are adopted as a rich data model in many data-intensive use cases involving disparate domain knowl- edge, mathematical foundations and computer science. Interconnected data is often- times used to encode domain-specific use cases, such as recommendation networks, social networks, protein-to-protein interactions, geolocation networks, and fraud de- tection analysis networks, to name a few. -
Facebook V. Profile Technologies
/% 1 Timothy L. Alger, State Bar No. 160303 [email protected] V 2 Sunita Bali, State Bar No. 274108 [email protected] 0 PERKINS COIE llp 3 -£ 3150 Porter Drive 4 Palo Alto, CA 94304-1212 Telephone: 650.838.4300 5 Facsimile: 650.838.4350 6 Attorneys for Plaintiffs Facebook, Inc. and Facebook Ireland Limited 9 UNITED STATES DISTRICT COURT 10 NORTHERN DISTRICT OF CALIFORNIA 11 SAN JOSE DIVISION » O Q 12 1 3 0 4 51 13 FACEBOOK, INC., a Delaware Case No. corporation, and FACEBOOK IRELAND 14 LIMITED, an Irish company, COMPLAINT FOR BREACH OF CONTRACT 15 Plaintiffs, [DEMAND FOR JURY TRIAL] 16 v. 17 PROFILE TECHNOLOGY, LTD, a New Zealand company; and CHRISTOPHER 18 CLAYDON, an individual, 19 Defendants. 20 21 Plaintiffs Facebook, Inc. and Facebook Ireland Limited(collectively "Facebook"), by and 22 through undersigned counsel, hereby allege as follows: 23 I. INTRODUCTION 24 1. Facebook permits certain application developers to access and use information that 25 is available on Facebook's services, providedthat they agree to and comply with Facebook's user 26 and developer agreements. Profile Technology Ltd. ("Profile Technology") and its CEO, 27 Christopher Claydon C'Claydon") (collectively "Defendants"), obtained access to such data as 28 COMPLAINT AND DEMAND FOR JURY TRIAL part of their contractual relationship with Facebook. The data included information posted by and 2 about Facebook users ("User Data"). 3 2. Defendants copied User Data onto Defendants' computer servers for their own use 4 and made it accessible to others, for Defendants" commercial benefit, on Defendants' website, 5 www.profileengine.com.