Knowledge (XXG)

Lada Adamic

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private messaging, replying to the same comments, or the number of real-world communication captured by Facebook. There is no doubt that mass adoption of online social networks lead to high information flow and high availability of this information for the individuals. However, it turned out that in transmitting important information such as new job vacancies or future plans weak ties have an advantage compared to the strong ties, because they have fewer mutual contacts, this is why every person has access to the information to which the other person does not.
31: 237:) based on an analysis of accessed web pages. While working on her PhD, Adamic obtained another U.S. patent 6631451 and 6415368: System and method for caching. It uses quality or value attributes, provided by a recommender system or by thorough analysis of site accesses that are attached to cached information to prioritize items in the cache and to identify higher value information. These methods aid in analysing networks. 257:
across two Western (United States and United Kingdom) and two Eastern cultures (China and India). It turned out that Eastern users tend to write serious professional networking questions, whereas Western users post questions just for fun. These differences are important for designing social networks for specific cultures.
286:(ICIS) 2011, International Conference on Weblogs and Social Media (ICWSM) 2011, International Conference on Webblogs and Social Media (ICWSM) 2010, Hypertext 2008. Her paper "Tracking Information Epidemics in Blogspace" written with E. Adar got the Web Intelligence most influential paper of the decade award in 2011. 268:
The other question which interests Adamic is information diffusion through social networks. After studying 253 million subjects on Facebook, they found that weak ties are more influential than strong ties. Tie strength is determined by how often individuals communicate with each other through
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in 2001. In 1994–1995 she was undergraduate research assistant at Caltech working on designing an electrostatic solar wind concentrator for the Genesis mission. In 1996–1997 she worked on the project of materials deposition with pulsed laser ablation. While writing her Ph.D. thesis named "Network
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Studying how family members communicate on Facebook revealed that the interaction on Facebook doesn't decrease with the distance, which means that in the U.S. Facebook is a very important tool for parents/grandparents to communicate with their children/grandchildren. The results of the paper are
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The analysis of cultural differences when using social networks can be useful for the developers of the social networks. Adamic together with her colleagues is exploring these differences. In one of her papers she tries to find the differences between usage of Q & A tools in social networks
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during the House, Senate and gubernatorial midterm elections in the U.S. in 2010. They found significant relationships between content and election results, which is why more detailed analysis of several campaigns could be useful to predict which Twitter campaigns are the most effective.
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In her paper about rating friends on Facebook, Dr. Adamic and her co-authors suggest the way to improve Facebook system of ranking friends to avoid awkward situations when friends rated one another differently. Particularly they suggest to use an alternative, anonymous feedback system.
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Adamic worked for four years in Hewlett Packard labs as a research scientist where she studied networks created from large data sets, such as studying medical literature for gene-disease connections and modelling search processes on real-world social networks.
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to fund her research on the social dynamics of information and University of Michigan Henry Russell award in recognition of her teaching and research. In 2012 she got Lagrange Prize in Complex Systems and best paper awards from
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actually very important and can be used to prioritize news stories, recommend friend connections with other relatives or automatically generate lists for privacy settings.
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for the University of Michigan. She took a sabbatical in 2013 to join Facebook's data scientist team, where she stayed. Adamic is an editor for information science at the
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L.A. Adamic and B.A. Huberman, "Information dynamics in a networked world", In Complex Networks, Eli Ben-Naim et al., editors. Lecture Notes in Physics, Springer, 2003
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E. Bakshy, M.P. Simmons, D.A. Huffaker, C.-Y. Teng, L.A. Adamic, The social dynamics of economic activity in a virtual world, ICWSM 2010, Washington D.C., 2010
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J. Yang, Z. Wen, L.A. Adamic, M.S. Ackerman, C.-Y. Lin, Collaborating Globally: Culture and Organisational Computer-Mediated Communications. Proc. ICIS, 2011
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Dynamics: The World Wide Web" at Stanford she also worked with Xerox PARC researchers and modeled growth and search processes of the Internet.
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E. Adar and L.A. Adamic, "Tracking Information Epidemics in Blogspace", Web Intelligence 2005, Compiegne, France, Sept. 19–22, 2005
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journal. Since April 2013, the journal publishes 3 issues per year. Adamic taught an online course "Social Network Analysis" on
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X. Shi, M. Bonner, L.A. Adamic, A. Gilbert, The very small world of the well-connected, in Hypertext'08, Pittsburgh, PA, 2008
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Eytan Bakshy; Itamar Rosenn; Cameron Marlow; Lada Adamic (2012). "The Role of Social Networks in Information Diffusion".
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E. Bakshy, I. Rosenn, C. Marlow, and L.A. Adamic, The role of Social Networks in Information Diffusion, WWW'12
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L.A. Adamic, D. Lauterbach, C.-Y. Teng, M.S. Ackerman, "Rating Friends Without Making Enemies", ICWSM 2011
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in particular. Together with Eytan Adar she holds U.S. patent 07162522 on User profile classification by
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Jiang Yang; Meredith Ringel Morris; Jaime Teevan; Lada A. Adamic; Mark S. Ackerman (2011).
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Adamic received her bachelor's degree in physics, engineering and applied science at
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techniques together with her colleagues, she analyzed the usage patterns of
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Lada A. Adamic; Debra Lauterbach; Chun-Yuen Teng; Mark S. Ackerman (2011).
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Adamic studies different aspects of online networks. For instance, using
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Avishay Livne; Matthew P. Simmons; Eytan Adar; Lada A. Adamic (2011).
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Stanford University School of Humanities and Sciences alumni
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Adamic's research is focused on analysing virtual world and
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Stanford University Department of Computer Science faculty
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analysis. The method allows to predict user attributes (
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team. She was previously an associate professor at the
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Moira Burke; Lada A. Adamic; Karyn Marciniak (2013).
188:in 1997 and her Ph.D. degree in applied physics at 107: 81: 71: 40: 21: 284:International Conference on Information Systems 8: 29: 18: 692:California Institute of Technology alumni 588: 279:National Science Foundation CAREER Award 545:"Rating friends without making enemies" 342: 157:until 2013. Previously she worked in 145:Adamic was a director of research at 116:Fellow of the Network Science Society 7: 186:California Institute of Technology 48:California Institute of Technology 14: 436:"System and method for caching" 707:University of Michigan faculty 1: 712:Scientists from New York City 301:L.A. Adamic, R.M. Lukose and 151:computational social science 649:"Hypertext 2008 Conference" 631:"ICWSM-14 - Home - Welcome" 362:"Stuyvesant Math Team 1991" 738: 169:From 1990 Adamic attended 16:American network scientist 581:World Wide Web Conference 221:Research and achievements 177:in 1992 and she attended 28: 235:demographic information 523:"Families on Facebook" 171:Stuyvesant High School 155:University of Michigan 94:University of Michigan 35:Lada Adamic at Cornell 290:Selected publications 277:Adamic has received 205:In 2005 Adamic left 179:Fairview High School 717:American scientists 599:2012arXiv1201.4145B 190:Stanford University 133:flow of information 58:Stanford University 722:Network scientists 149:, where she led a 418:"Network Science" 350:Lada A. Adamic CV 331:Adamic/Adar index 175:Boulder, Colorado 140:knowledge sharing 129:network scientist 122: 121: 76:network scientist 729: 671: 670: 659: 653: 652: 645: 639: 638: 627: 621: 620: 619:. 31 March 2005. 609: 603: 602: 592: 576: 570: 569: 567: 566: 560: 554:. Archived from 549: 540: 534: 533: 527: 518: 512: 511: 509: 508: 502: 496:. Archived from 491: 482: 476: 475: 473: 472: 466: 460:. Archived from 455: 446: 440: 439: 432: 426: 425: 414: 408: 407: 405: 404: 398: 392:. Archived from 391: 387:"Lada Adamic CV" 383: 377: 376: 374: 373: 364:. 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Index


California Institute of Technology
BS
Stanford University
PhD
network scientist
Facebook
University of Michigan
HP Labs
Lagrange Prize
Fellow of the Network Science Society
network scientist
flow of information
crowdsourced
knowledge sharing
Facebook
computational social science
University of Michigan
Hewlett-Packard
Stuyvesant High School
Boulder, Colorado
Fairview High School
California Institute of Technology
Stanford University
HP Labs
Coursera
social networks
web usage
demographic information
graph

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