System, method and apparatus for connecting users in an online computer system based on their relationships within social networks - Google PatentsSystem, method and apparatus for connecting users in an online computer system based on their relationships within social networksDownload PDFInfoPublication numberUS7069308B2US7069308B2 US10/462,142 US46214203A US7069308B2 US 7069308 B2 US7069308 B2 US 7069308B2 US 46214203 A US46214203 A US 46214203A US 7069308 B2 US7069308 B2 US 7069308B2AuthorityUSUnited StatesLegal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)ActiveApplication numberUS10/462,142Other versionsUS20050021750A1 (enInventorJonathan H. AbramsCurrent Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)Meta Platforms IncOriginal AssigneeFriendster IncPriority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)2003-06-16Filing date2003-06-16Publication date2006-06-272003-06-16 Application filed by Friendster Inc filed Critical Friendster Inc2003-06-16 Priority to US10/462,142 priority Critical patent/US7069308B2/en2004-01-27 Priority to PCT/US2004/002231 priority patent/WO2005006152A2/en2005-01-27 Publication of US20050021750A1 publication Critical patent/US20050021750A1/en2005-06-17 Priority to US11/156,091 priority patent/US7117254B2/en2005-09-20 Assigned to FRIENDSTER, INC. reassignment FRIENDSTER, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ABRAMS, JONATHAN H2005-11-04 Assigned to VENTURE LENDING & LEASING III, INC. reassignment VENTURE LENDING & LEASING III, INC. SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: FRIENDSTER, INC.2006-06-27 Application granted granted Critical2006-06-27 Publication of US7069308B2 publication Critical patent/US7069308B2/en2006-08-25 Priority to US11/467,297 priority patent/US7188153B2/en2009-12-22 Assigned to BALTHASER ONLINE, INC. reassignment BALTHASER ONLINE, INC. SECURITY AGREEMENT Assignors: FRIENDSTER, INC.2009-12-22 Assigned to FRIENDSTER, INC. reassignment FRIENDSTER, INC. RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: VENTURE LENDING & LEASING III, LLC2010-02-09 Assigned to FRIENDSTER, INC. reassignment FRIENDSTER, INC. RELEASE OF LIMITED INTELLECTUAL PROPERTY SECURITY AGREEMENT;ASSIGNOR:BALTHASER ONLINE, INC.;REEL/FRAME:023915/0424It’s easy to view a person’s LinkedIn profile directly in Teams. When you go to any one-on-one chat, you can quickly see that person’s experience, education, skills, and more. You can also expand your LinkedIn network and connect with people on LinkedIn without leaving Teams. Show
Note: Your organization needs to enable the LinkedIn integration in Teams for you to access it. When your organization enables the LinkedIn integration, you can access LinkedIn in Outlook too.
Connect your LinkedIn and Microsoft accountsYou can access LinkedIn profiles in Teams without connecting your LinkedIn and Microsoft accounts. But if you choose to connect these accounts, you can discover more about a person in any one-on-one chat in Teams. Find out what you have in common with them, see your degrees of connection, and connect on LinkedIn without leaving Teams. Social Networking Sites, such as Facebook and Linkedin, are clear examples of the impact that the Web 2.0 has on people around the world, because they target an aspect of life that is extremely important to anyone: social relationships. The key to building a social network is the ability of finding people that we know in real life, which, in turn, requires those people to make publicly available some personal information, such as their names, family names, locations and birth dates, just to name a few. However, it is not uncommon that individuals create multiple profiles in several social networks, each containing partially overlapping sets of personal information. Matching those different profiles allows to create a global profile that gives a holistic view of the information of an individual. In this paper, we present an algorithm that uses the network topology and the publicly available personal information to iteratively match profiles across n social networks, based on those individuals who disclose the links to their multiple profiles. The evaluation results, obtained on a real dataset composed of around 2 million profiles, show that our algorithm achieves a high accuracy. Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves. Download conference paper PDF Gross, R., Acquisti, A.: Information Revelation and Privacy in Online Social Networks. In: Proceedings of the 2005 ACM Workshop on Privacy in the Electronic Society, WPES 2005, pp. 71–80. ACM, New York (2005) CrossRef Google Scholar Little, L., Briggs, P., Coventry, L.: Who Knows about Me?: An Analysis of Age-related Disclosure Preferences. In: Proceedings of the 25th BCS Conference on Human-Computer Interaction, BCS-HCI 2011, pp. 84–87. British Computer Society, Swinton (2011) Google Scholar Stutzman, F.: An Evaluation of Identity-Sharing Behavior in Social Network Communities. iDMAa Journal 3(1) (2006) Google Scholar Perito, D., Castelluccia, C., Kaafar, M.A., Manils, P.: How Unique and Traceable Are Usernames? In: Fischer-Hübner, S., Hopper, N. (eds.) PETS 2011. LNCS, vol. 6794, pp. 1–17. Springer, Heidelberg (2011) CrossRef Google Scholar Zafarani, R., Liu, H.: Connecting Corresponding Identities across Communities. In: Third International AAAI Conference on Weblogs and Social Media (2009) Google Scholar Carmagnola, F., Cena, F.: User Identification for Cross-system Personalisation. Inf. Sci. 179, 16–32 (2009) CrossRef Google Scholar Cortis, K., Scerri, S., Rivera, I., Handschuh, S.: Discovering Semantic Equivalence of People Behind Online Profiles. In: Proceedings of the Resource Discovery (RED) Workshop. ESWC (2012) Google Scholar Golbeck, J., Rothstein, M.: Linking Social Networks on the Web with FOAF: A Semantic Web Case Study. In: AAAI, vol. 8, pp. 1138–1143 (2008) Google Scholar Malhotra, A., Totti, L., Meira, W., Kumaraguru, P., Almeida, V.: Studying User Footprints in Different Online Social Networks. In: International Workshop on Cybersecurity of Online Social Network, ACM ASONAM 2012 (2012) Google Scholar Motoyama, M., Varghese, G.: I Seek You: Searching and Matching Individuals in Social Networks. In: Proceedings of the Eleventh International Workshop on Web Information and Data Management, pp. 67–75. ACM (2009) Google Scholar Raad, E., Chbeir, R., Dipanda, A.: User Profile Matching in Social Networks. In: 2010 13th International Conference on Network-Based Information Systems (NBiS), pp. 297–304. IEEE (2010) Google Scholar Rowe, M.: Interlinking Distributed Social Graphs. In: Linked Data on the Web Workshop, WWW (2009) Google Scholar Bartunov, S., Korshunov, A., Park, S., Ryu, W., Lee, H.: Joint Link-attribute User Identity Resolution in Online Social Networks. In: SNA-KDD Workshop (2012) Google Scholar Buccafurri, F., Lax, G., Nocera, A., Ursino, D.: Discovering Links among Social Networks. In: Flach, P.A., De Bie, T., Cristianini, N. (eds.) ECML PKDD 2012, Part II. LNCS, vol. 7524, pp. 467–482. Springer, Heidelberg (2012) CrossRef Google Scholar Jain, P., Kumaraguru, P., Joshi, A.: @i Seek ’fb.me’: Identifying Users Across Multiple Online Social Networks. In: WWW (Companion Volume), pp. 1259–1268 (2013) Google Scholar Narayanan, A., Shmatikov, V.: De-anonymizing Social Networks. In: 30th IEEE Symposium on Security and Privacy, pp. 173–187. IEEE (2009) Google Scholar FriendFeed, http://friendfeed.com Plaxo, http://www.plaxo.com Spokeo, http://www.spokeo.com Krishnamurthy, B., Wills, C.E.: On the Leakage of Personally Identifiable Information via Online Social Networks. In: Proceedings of the 2nd ACM Workshop on Online Social Networks, pp. 7–12. ACM (2009) Google Scholar Download references Author informationAuthors and Affiliations
Authors
Editor informationEditors and Affiliations
Rights and permissionsReprints and Permissions Copyright information© 2014 Springer International Publishing Switzerland About this paperCite this paperBennacer, N., Nana Jipmo, C., Penta, A., Quercini, G. (2014). Matching User Profiles Across Social Networks. In: , et al. Advanced Information Systems Engineering. CAiSE 2014. Lecture Notes in Computer Science, vol 8484. Springer, Cham. https://doi.org/10.1007/978-3-319-07881-6_29 What is a program that runs with another application such as a website?Applet. A program that runs within another application such as a website.
Which of the following is about ensuring that everyone has equal access to the Internet?Net neutrality is the principle that an internet service provider (ISP) has to provide access to all sites, content and applications at the same speed, under the same conditions without blocking or giving preference to any content.
What is website software that finds other pages based on keyword matching similar to Google?Search engine – Website software that finds other pages based on keyword matching similar to Google. Search engine ranking – Evaluates variables that search engines use to determine where a URL appears on the list of search results.
Which of the following terms refers to a count of the number of people who visit one site and click on an advertisement that takes them to the site of the advertiser?Click-through rate (CTR) is a metric, shown as a percentage, that measures how many people clicked your ad to visit a website or landing page.
|
