[ Bio | CV | Research | Students / Postdocs | Teaching | Publications | Citations | Professional Activities | Contact ]

I am broadly interested in understanding and building networked and distributed computer systems.

Past Interests: Internet (Broadband) Access Networks, Trusted Cloud Computing, Peer-to-Peer / Overlay Routing Systems.

Current Interests: Social Computing Systems. (Related Key Words: Crowdsourcing and Social Media Systems, Social and Information Networks, Computational Social Science, Computational Journalism, Security and Privacy, Information Dissemination, Search, and Recommender Systems)

What are Social Computing Systems? They are an emerging class of societal-scale human-computer systems that facilitate interactions and knowledge exchange between individuals, organizations, and governments in our society. Examples include social networking sites like Facebook and Google+, blogging and microblogging sites like Twitter and LiveJournal, anonymous social media sites like Whisper and 4chan, content sharing sites like YouTube and Instagram, social bookmarking sites like Reddit and Pintrest, crowdsourced opinion sites like Yelp and eBay seller ratings, and social peer production sites like Wikipedia and Amazon's Mechanical Turk.

Motivating Perspective: Social computing systems represent human-computer symbiosis at societal-scale. By symbiosis, we refer to networking of humans and computers, where human societal behaviors affect computations and vice-versa.

Goals: The high-level goals of our studies of social computing systems are to Understand, Predict, and Control the behaviors of their constituent human users and computer systems.

Methodology: We leverage a variety of inter-disciplinary methods in our studies:

• User-centric Studies: We conduct empirical studies of user behaviors and interactions in social computing systems using large-scale observational studies of deployed systems as well as smaller-scale studies of users recruited on the Web to participate in experimental systems and surveys.
• Data-centric Studies: We construct and analyze computational models of user and system behaviors from the data we gather using appropriate data mining (e.g., graph analysis, data clustering and dimensionality reduction), statistical learning (e.g., supervised learning and convex optimization) and NLP (e.g., statistical language and topic models) techniques.
• Systems-centric Studies: We leverage insights from our empirical and analytical studies above to design, implement and deploy useful systems and services in practice (e.g., check out our publicly deployed systems and apps listed below.)

Projects: We have conducted some of the earliest studies of Social Network Analysis gathering data from real-world social networks at scale. Our recent studies have focussed on:

• Bias, Fairness, and Transparency in Data Driven Decision Systems
• Trustworthiness, Credibility, and Reputation of Social Identities
• Privacy, Anonymity, and Exposure in Crowdsourcing Systems
• Information Dissemination, Retrieval, and Assimilation in Social Media Systems

Datasets: We have released several datasets from our empirical studies. Details for obtaining them can be found here.

Systems: We have publicly released software code and deployed several systems and apps to illustrate the utility of our studies.

• Learning Fair Classifiers: Github code repository for training fair classifiers.
• Trust assessment and fraud detection: (i) TrulyTweeting and (ii) TrulyFollowing services to detect manipulation (tampering) of popularity of Twitter content and Twitter users, respectively.
• Privacy risk awareness, assessment, and management: (i) Secondary footprint, a Twitter app to help users check what information others are leaking about them in Twitter, (ii) Friendlist Manager, a Facebook app to help users manage their friendlists that are used to configure access controls and (iii) Privacy IQ, a Facebook app to raise user awareness about their privacy settings.
• Search and recommendations: Systems to (i) help Twitter users measure and manage information diets, (ii) find relevant and trustworthy topical content and topical authorities (experts) in Twitter, and (iii) discover topical interests and topical expertise of Twitter users.

Graduate Students: I work with the following fantastic graduate students at Max Planck Institutes: Junaid Ali, Reza Babaei, Nina Grgić-Hlača, Preethi Lahoti, Johnnatan Messias, Till Speicher

If you are interested in graduate studies at MPI-SWS, follow this link.

Postdoctoral Researchers: I am delighted to collaborate with Abhijnan Chakraborty

I am also fortunate to work with the following graduate students and postdocs outside Max Planck Institutes: Hoda Heidari, Elissa Redmiles, Giridhari Venkatadri

Former Students / Postdocs (with their first employment):

• Asia J. Biega, Ph.D. student (coadivised with Gerhard Weikum), Postdoctoral Researcher at Microsoft Research Montreal
• Przemyslaw Grabowicz, postdoctoral researcher, Research Assistant Professor at University of Massachusetts, Amherst
• Muhammad Bilal Zafar, Ph.D. student, Research Engineer at Bosch Center for Artifical Intelligence
• Juhi Kulshrestha, Ph.D. student, Postdoctoral Researcher at Leibniz Institute for Social Sciences
• Mainack Mondal, Ph.D. student, Postdoctoral Researcher at University of Chicago
• Rijurekha Sen, postdoctoral researcher (coadvised with Peter Druschel), Assistant Professor at IIT Delhi
• Oana Goga, postdoctoral researcher, Researcher at CNRS
• Saptarshi Ghosh, postdoctoral researcher, Assistant Professor at IIT Kharagpur
• Denzil Correa, postdoctoral researcher, Data Scientist at Bayer Business Services
• Bimal Viswanath, Ph.D. student (coadvised with Alan Mislove), Researcher at Bell Labs
• Nuno Santos, Ph.D. student (coadvised with Rodrigo Rodrigues), Assistant Professor at IST Lisbon
• Massimiliano Marcon, Ph.D. student, Software Engineer at SAP
• Marcel Dischinger, Ph.D. student, Senior Software Engineer at Barracuda Networks
• Meeyoung Cha, postdoctoral researcher, Assistant Professor at KAIST
• Alan Mislove, Ph.D. student (coadvised with Peter Druschel), Assistant Professor at Northeastern University

For a complete list of my publications in chronological order, follow this link.

Publications related to past projects: Internet Access Networks | Trusted Cloud Computing | Peer-to-Peer and Overlay Routing Systems

Publications related to Social Computing Systems grouped by research topic: Bias, Fairness, and Transparency | Privacy, Anonymity, and Exposure | Trustworthiness, Credibility, and Reputation | Information Dissemination, Retrieval, and Assimilation | Social Network Analysis

Bias, Fairness, and Transparency in Data Driven Decision Systems:

• Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making,
  by Hoda Heidari, Claudio Ferrari, Krishna P. Gummadi, and Andreas Krause
  To Appear in Proceedings of the 32nd Annual Conference on Neural Information Processing Systems (NIPS), Montreal, Canada, December 2018.
  
• A Unified Approach to Quantifying Algorithmic Fairness: Measuring Individual and Group Unfairness via Inequality Indices,
  by Till Speicher, Hoda Heidari, Nina Grgić-Hlača, Krishna P. Gummadi, Adrian Weller, and Muhammad Bilal Zafar
  Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), London, UK, August 2018.
  (.pdf, 1.9 MB)
  
• Blind Justice: Fairness with Encrypted Sensitive Attributes,
  by Niki Kilbertus, Adria Gascon, Matt Kusner, Michael Veale, Krishna P. Gummadi, and Adrian Weller
  Proceedings of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, July 2018.
  (.pdf, 767 KB)
  
• Equity of Attention: Amortizing Individual Fairness in Rankings,
  by Asia J. Biega, Krishna P. Gummadi, and Gerhard Weikum
  Proceedings of the 41st Annual SIGIR Conference (SIGIR), Ann Arbor, Michigan, July 2018.
  (.pdf, 1.4 MB)
  
• Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Scale,
  by Filipe N. Ribeiro, Lucas Henrique, Fabricio Benevenuto, Abhijnan Chakraborty, Juhi Kulshrestha, Mahmoudreza Babaei, and Krishna P. Gummadi
  Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM), Stanford, California, June 2018.
  (.pdf, 462 KB)
  
• Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction,
  by Nina Grgić-Hlača, Elissa Redmiles, Krishna P. Gummadi, and Adrian Weller
  Proceedings of the 27th Web Conference (WWW) , Lyon, France, April 2018.
  (.pdf, 604 KB)
  
• On the Potential for Discrimination in Online Targeted Advertising,
  by Till Speicher, Muhammad Ali, Giridhari Venkatadri, George Arvanitakis, Krishna P. Gummadi, Patrick Loiseau, and Alan Mislove
  Proceedings of the 1st Conference on Fairness, Accountability, and Transparency (FAT) , New York City, New York, February 2018.
  (.pdf, 560 KB)
  
• Investigating Ad Transparency Mechanisms in Social Media: A Case Study of Facebook’s Explanations,
  by Athanasios Andreou, Giridhari Venkatadri, Oana Goga, Krishna P. Gummadi, Patrick Loiseau, and Alan Mislove
  Proceedings of the 24th Network and Distributed System Security Symposium (NDSS), San Diego, California, February 2018. (CNIL-INRIA Privacy Runners-Up Award)
  (.pdf, 1.8 MB)
  
• Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair Learning,
  by Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, and Adrian Weller
  Proceedings of the 32nd AAAI Conference on Artifical Intelligence (AAAI) , New Orleans, Louisiana, February 2018.
  (.pdf, 818 KB)
  
• From Parity to Preference-based Notions of Fairness in Classification,
  by Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi and Adrian Weller
  Proceedings of the 31st Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, California, December 2017.
  Also presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), Halifax, Canada, August 2017.
  arXiv:1707.00010
  
• On Fairness, Diversity, and Randomness in Algorithmic Decision Making,
  by Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi and Adrian Weller
  3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), Halifax, Canada, August 2017.
  arXiv:1706.10208
  
• Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations,
  by Abhijnan Chakraborty, Johnnatan Messias, Fabricio Benevenuto, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi
  Proceedings of the 11th International AAAI Conference on Weblogs and Social Media (ICWSM), Montreal, Canada, May 2017.
  (.pdf, 543 KB)
  
• Fairness Constraints: Mechanisms for Fair Classification,
  by Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez and Krishna P. Gummadi
  Proceedings of the 20th International Conference on Artifical Intelligence and Statistics (AISTATS), Fort Lauderdale, FL, April 2017.
  (.pdf, 796 KB)
  Also presented at the 2nd Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), Lille, France, July 2015.
  (.pdf, 1.3 MB)
  
• Fairness Beyond Disparate Treatment and Disparate Impact: Learning Classification Without Disparate Mistreatment,
  by Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez and Krishna P. Gummadi
  Proceedings of the 26th International World Wide Web Conference (WWW), Perth, Australia, April 2017. (Best Paper Honorable Mention)
  (.pdf, 544 KB)
  Also presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), New York City, NY, November 2016.
  arXiv:1610.08452
  
• Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media,
  by Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P. Gummadi, and Karrie G. Karahalios
  Proceedings of the 20th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Portland, OR, February 2017.
  (.pdf, 297 KB)
  
• The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making,
  by Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, and Adrian Weller
  NIPS Symposium on Machine Learning and the Law, Barcelona, Spain, December 2016. (Notable Paper)
  (.pdf, 446 KB)
  
• The Case for Temporal Transparency: Detecting Policy Change Events in Black-Box Decision Making Systems,
  by Miguel Ferreira, Muhammad Bilal Zafar, Isabel Valera, and Krishna P. Gummadi
  3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning (FAT-ML), New York City, NY, November 2016.
  arXiv:1610.10064
  
• Message Impartiality in Social Media Discussions,
  by Muhammad Bilal Zafar, Krishna P. Gummadi, and Cristian Danescu-Niculescu-Mizil
  Proceedings of the 10th International AAAI Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016.
  (.pdf, 280 KB)
  
• Can Trending News Stories Create Coverage Bias? On the Impact of High Content Churn in Online News Media,
  by Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi
  Computation + Journalism Symposium, New York, NY, October 2015.
  (.pdf, 292 KB)
  

Privacy, Anonymity, and Exposure in Crowdsourcing Systems:

• Privacy Risks with Facebook's PII-based Targeting: An Audit of a Data Broker's Advertising Interface,
  by Giridhari Venkatadri, Athanasios Andreou, Oana Goga, Krishna P. Gummadi, Patrick Loiseau, and Alan Mislove
  Proceedings of the 39th IEEE Symposium on Security and Privacy (IEEE S&P), San Francisco, California, May 2018. (Casper Bowden PET Runners-Up Award)
  (.pdf, 2.0 MB)
  
• Learning to Un-Rank: Quantifying Search Exposure for Users in Online Communities,
  by Asia J. Biega, Azin Ghazimatin, Hakan Ferhatosmanoglu, Krishna P. Gummadi and Gerhard Weikum
  Proceedings of the 26th International Conference on Information and Knowledge Management (CIKM), Singapore, November 2017.
  (.pdf, 749 KB)
  
• Longitudinal Privacy Management in Social Media: The Need for Better Controls
  by Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, and Aniket Kate
  In IEEE Internet Computing (Special Issue on Usable Privacy and Security), May-June 2017.
  (.pdf, 2.7 MB)
  
• On Profile Linkability Despite Anonymity in Social Media Systems,
  by Michael Backes, Pascal Berrang, Oana Goga, Krishna P. Gummadi, and Praveen Manoharan
  Proceedings of the 2016 Workshop on Privacy in the Electronic Society (WPES), Vienna, Austria, October 2016.
  (.pdf, 678 KB)
  
• R-Susceptibility: An IR-Centric Approach to Assessing Privacy Risks for Users in Online Communities,
  by Joanna Asia Biega, Krishna P. Gummadi, Ida Mele, Dragan Milchevski, ChristosTryfonopoulos, and Gerhard Weikum
  Proceedings of the 39th Annual SIGIR Conference (SIGIR), Pisa, Italy, July 2016.
  (.pdf, 387 KB)
  
• Forgetting in Social Media: Understanding and Controlling Longitudinal Exposure of Socially Shared Data
  by Mainack Mondal, Johnnatan Messias, Saptarshi Ghosh, Krishna P. Gummadi, and Aniket Kate
  Proceedings of the 12th Symposium on Usable Security and Privacy (SOUPS), Denver, CO, June 2016.
  (.pdf, 341 KB)
  
• On the Reliability of Profile Matching Across Large Online Social Networks,
  by Oana Goga, Patrick Loiseau, Robin Summer, Renata Teixeira, and Krishna P. Gummadi
  Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Sydney, Australia, August 2015.
  (.pdf, 285 KB)
  
• The Many Shades of Anonymity: Characterizing Anonymous Social Media Content,
  by Denzil Correa, Leandro Araujo Silva, Mainack Mondal, Fabricio Benevenuto, and Krishna P. Gummadi
  Proceedings of the 9th International AAAI Conference on Weblogs and Social Media (ICWSM), Oxford, UK, May 2015.
  (.pdf, 641 KB)
  
• Understanding and Specifying Social Access Control Lists,
  by Mainack Mondal, Yabing Liu, Bimal Viswanath, Krishna P. Gummadi, and Alan Mislove
  Proceedings of the 10th Symposium on Usable Security and Privacy (SOUPS), Menlo Park, CA, July 2014. (Distinguished Paper)
  (.pdf, 546 KB)
  
• Beyond Access Control: Managing Online Privacy via Exposure,
  by Mainack Mondal, Peter Druschel, Krishna P. Gummadi, Alan Mislove
  Proceedings of the Workshop on Usable Security (USEC), San Diego, CA, February 2014.
  (.pdf, 179 KB)
  
• Defending against large-scale crawls in online social networks,
  by Mainack Mondal, Bimal Viswanath, Allen Clement, Peter Druschel, Krishna P. Gummadi, Alan Mislove, and Ansley Post
  Proceedings of the 8th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Nice, France, December 2012.
  (.pdf, 230 KB)
  
• Simplifying Friendlist Management,
  by Yabing Liu, Bimal Viswanath, Mainack Mondal, Krishna P. Gummadi, and Alan Mislove
  Proceedings of the 21st International World Wide Web Conference (WWW), Demo Paper, Lyon, France, April 2012.
  (.pdf, 350 KB)
  
• Analyzing Facebook privacy settings: User expectations vs. reality,
  by Yabing Liu, Krishna P. Gummadi, Balachander Krishnamurthy, and Alan Mislove
  Proceedings of the 11th Usenix/ACM Internet Measurement Conference (IMC), Berlin, Germany, November 2011.
  (.pdf, 549 KB)
  
• Sharing Social Content from Home: A Measurement-driven Feasibility Analysis,
  by Massimiliano Marcon, Bimal Viswanath, Meeyoung Cha, and Krishna P. Gummadi
  Proceedings of the 21st International Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), Vancouver, Canada, June 2011.
  (.pdf, 311 KB)
  
• Addressing the Privacy Management Crisis in Online Social Networks,
  by Krishna P. Gummadi, Alan Mislove, and Balachander Krishnamurthy
  The IAB Workshop on Internet Privacy, Position Paper, Boston, MA, December 2010.
  (.pdf, 19 KB)
  
• You are who you know: Inferring user profiles in Online Social Networks,
  by Alan Mislove, Bimal Viswanath, Krishna P. Gummadi, and Peter Druschel
  Proceedings of the 3rd ACM International Conference on Web Search and Data Mining (WSDM), New York, NY, February 2010.
  (.pdf, 181 KB)
  

Trustworthiness, Credibility, and Reputation of Social Identities:

• Strengthening Weak Identities Through Inter-Domain Trust Transfer,
  by Giridhari Venkatadri, Oana Goga, Changtao Zhong, Bimal Viswanath, Krishna P. Gummadi and Nishanth Sastry
  Proceedings of the 25th International World Wide Web Conference (WWW), Montreal, Canada, April 2016.
  (.pdf, 378 KB)
  
• Strength in Numbers: Robust Tamper Detection in Crowd Computations,
  by Bimal Viswanath, Muhammad Ahmad Bashir, Muhammad Bilal Zafar, Saikat Guha, Krishna P. Gummadi, Aniket Kate and Alan Mislove
  Proceedings of the 3rd ACM Conference on Online Social Networks (COSN), Palo Alto, CA, November 2015. (Best Paper)
  (.pdf, 363 KB)
  
• The Doppelgänger Bot Attack: Exploring Identity Impersonation in Online Social Networks,
  by Oana Goga, Giridhari Venkatadri, and Krishna P. Gummadi
  Proceedings of the 15th ACM Internet Measurement Conference (IMC), Tokyo, Japan, October 2015.
  (.pdf, 662 KB)
  
• Towards Detecting Anomalous User Behavior in Online Social Networks,
  by Bimal Viswanath, Muhammad Ahmad Bashir, Mark Crovella, Saikat Guha, Krishna P. Gummadi, Balachander Krishnamurthy, and Alan Mislove
  Proceedings of the 23rd Usenix Security Symposium (USENIX Security), San Diego, CA, August 2014.
  (.pdf, 318 KB)
  
• Understanding and Combating Link Farming in the Twitter Social Network,
  by Saptarshi Ghosh, Bimal Viswanath, Farshad Kooti, Naveen Kumar Sharma, Korlam Gautam, Fabricio Benevenuto, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 21st International World Wide Web Conference (WWW), Lyon, France, April 2012.
  (.pdf, 886 KB)
  
• Canal: Scaling Social Network-based Sybil Tolerance Schemes,
  by Bimal Viswanath, Mainack Mondal, Krishna P. Gummadi, Alan Mislove, and Ansley Post
  Proceedings of the 7th European Conference on Computer Systems (EuroSys), Bern, Switzerland, April 2012.
  (.pdf, 337 KB)
  
• Exploring the design space of social network-based Sybil defenses,
  by Bimal Viswanath, Mainack Mondal, Allen Clement, Peter Druschel, Krishna P. Gummadi, Alan Mislove, and Ansley Post
  Proceedings of the 4th International Conference on Communication Systems and Networks (COMSNETS), Invited Paper, Bangalore, India, January 2012.
  (.pdf, 28 KB)
  
• An Analysis of Social Network-based Sybil Defenses,
  by Bimal Viswanath, Ansley Post, Krishna P. Gummadi, and Alan Mislove
  Proceedings of the ACM SIGCOMM 2010, New Delhi, India, August 2010.
  (.pdf, 495 KB)
  
• Ostra: Leveraging Trust to Thwart Unwanted Communication,
  by Alan Mislove, Ansley Post, Peter Druschel, and Krishna P. Gummadi.
  Proceedings of the 5th Usenix Symposium on Networked Systems Design and Implementation (NSDI), San Francisco, CA, April 2008.
  (.pdf, 372 KB)
  

Information Dissemination, Retrieval, and Assimilation in Social Media Systems:

• Optimizing the Recency-Relevancy Trade-off in Online News Recommendations,
  by Abhijnan Chakraborty, Saptarshi Ghosh, Niloy Ganguly and Krishna P. Gummadi
  Proceedings of the 26th International World Wide Web Conference (WWW), Perth, Australia, April 2017.
  (.pdf, 603KB)
  
• Distinguishing between Topical and Non-topical Information Diffusion Mechanisms in Social Media,
  by Premyslaw Grabowicz, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 10th International AAAI Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016.
  (.pdf, 987 KB)
  
• On the Efficiency of Information Networks in Social Media,
  by Mahmoudreza Babaei, Przemyslaw Grabowicz, Isabel Valera, Krishna P. Gummadi and Manuel Gomez-Rodriguez
  To Appear in Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM), San Francisco, CA, February 2016.
  (.pdf, 1.2 MB)
  
• On the Wisdom of Experts vs. Crowds: Discovering Trustworthy Topical News in Microblogs,
  by Muhammad Bilal Zafar, Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), San Francisco, CA, February 2016.
  (.pdf, 400 KB)
  
• Sampling Content from Online Social Networks: Random vs. Expert Sampling of the Twitter Stream,
  by Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, and Saptarshi Ghosh
  ACM Journal of Transactions on the Web (TWeb), Volume 9, Issue 3, pp. 12:1 - 12:33, June 2015.
  (.pdf, 807 KB)
  
• Characterizing Information Diets of Social Media Users,
  by Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin Noboa, Krishna P. Gummadi and Saptarshi Ghosh
  Proceedings of the 9th International AAAI Conference on Weblogs and Social Media (ICWSM), Oxford, UK, May 2015.
  (.pdf, 227 KB)
  
• Modeling Adoption of Competing Products and Conventions in Social Media,
  by Isabel Valera, Manuel Gomez-Rodriguez, and Krishna P. Gummadi
  NIPS Workshop in Networks: From Graphs to Rich Data, Montreal, Canada, December 2014.
  
• Inferring User Interests in the Twitter Social Network,
  by Parantapa Bhattacharya, Muhammad Bilal Zafar, Niloy Ganguly, Saptarshi Ghos and Krishna P. Gummadi
  Proceedings of the 8th ACM Conference on Recommender Systems (RecSys), Short Paper, Silicon Valley, CA, October 2014.
  (.pdf, 216 KB)
  
• Quantifying Information Overload in Social Media and its Impact on Social Contagions,
  by Manuel Gomez-Rodriguez, Krishna P. Gummadi, and Bernhard Schoelkopf
  Proceedings of the 8th International AAAI Conference on Weblogs and Social Media (ICWSM), Ann Arbor, MI, June 2014.
  (.pdf, 1422 KB)
  
• Does Content Determine Information Popularity in Social Media? A Case Study of YouTube Videos' Content and their Popularity
  by Flavio Figueiredo, Jussara Almeida, Fabricio Benevenuto, Krishna P. Gummadi
  Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), Short Paper, Toronto, Canada, April 2014.
  (.pdf, 438 KB)
  
• Deep Twitter Diving: Exploring Topical Groups in Microblogs at Scale,
  by Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar, Juhi Kulshrestha, Mainack Mondal, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW), Baltimore, MD, February 2014.
  (.pdf, 725 KB)
  
• On Sampling the Wisdom of Crowds: Random vs. Expert Sampling of the Twitter Stream,
  by Saptarshi Ghosh, Muhammad Bilal Zafar, Parantapa Bhattacharya, Naveen Sharma, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 22nd ACM International Conference on Information and Knowledge Management (CIKM), Burlingame, CA, October 2013.
  (.pdf, 184 KB)
  
• Predicting Emerging Social Conventions in Online Social Networks,
  by Farshad Kooti, Winter Mason, Krishna P. Gummadi, and Meeyoung Cha
  Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii, October 2012.
  (.pdf, 512 KB)
  
• Cognos: Crowdsourcing Search for Topic Experts in Microblogs,
  by Saptarshi Ghosh, Naveen Kumar Sharma, Fabricio Benevenuto, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 35th Annual SIGIR Conference (SIGIR), Portland, Oregon, August 2012.
  (.pdf, 232 KB)
  
• Inferring Who-is-Who in the Twitter Social Network,
  by Naveen Sharma, Saptarshi Ghosh, Fabricio Benevenuto, Niloy Ganguly, and Krishna P. Gummadi
  Proceedings of the 4th ACM SIGCOMM Workshop On Social Networks (WOSN), Helsinki, Finland, August 2012. (Selected for publication in ACM SIGCOMM CCR, August 2012)
  (.pdf, 184KB)
  
• The Emergence of Conventions in Online Social Networks,
  by Farshad Kooti, Meeyoung Cha, Krishna P. Gummadi, and Winter Mason
  Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin, Ireland, June 2012. (Best Paper)
  (.pdf, 432 KB)
  
• Geographic Dissection of the Twitter Network,
  by Juhi Kulshrestha, Farshad Kooti, Ashkan Nikravesh, and Krishna P. Gummadi
  Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin, Ireland, June 2012.
  (.pdf, 279 KB)
  
• The world of connections and information flow in Twitter,
  by Meeyoung Cha, Fabricio Benevenuto, Hamed Haddadi, and Krishna P. Gummadi
  IEEE Transactions on Systems, Man and Cybernetics -- Part A, 2012.
  (.pdf, 997 KB)
  
• Delayed Information Cascades in Flickr: Measurement, Analysis and Modeling,
  by Meeyoung Cha, Fabricio Benevenuto, Young-Yeol Ahn, and Krishna P. Gummadi
  Elsevier Computer Networks, 2012.
  (.pdf, 515 KB)
  
• On Word-of-Mouth Based Discovery of the Web,
  by Tiago Rodrigues, Fabricio Benevenuto, Meeyoung Cha, Krishna P. Gummadi, and Virgilio Almeida
  Proceedings of the 11th Usenix/ACM Internet Measurement Conference (IMC), Berlin, Germany, November 2011.
  (.pdf, 535 KB)
  
• Media landscape in Twitter: A World of New Conventions and Political Diversity,
  by Jisun An, Meeyoung Cha, Krishna P. Gummadi, and Jon Crowcroft
  Proceedings of the 5th International AAAI Conference on Weblogs and Social Media (ICWSM), Barcelona, Spain, July 2011.
  (.pdf, 394 KB)
  
• Measuring User Influence in Twitter: The Million Follower Fallacy,
  by Meeyoung Cha, Hamed Haddadi, Fabricio Benevenuto, and Krishna P. Gummadi
  Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (ICWSM), Washington, DC, May 2010.
  (.pdf, 205 KB)
  
• A Measurement-driven Analysis of Information Propagation in the Flickr Social Network,
  by Meeyoung Cha, Alan Mislove, and Krishna P. Gummadi
  Proceedings of the 18th International World Wide Web Conference (WWW), Madrid, Spain, April 2009.
  (.pdf, 868 KB)
  
• Characterizing Social Cascades in the Flickr Social Network,
  by Meeyoung Cha, Alan Mislove, Ben Adams, and Krishna P. Gummadi
  Proceedings of the 1st ACM SIGCOMM Workshop On Social Networks (WOSN), Seattle, WA, August 2008.
  (.pdf, 410KB)
  
• Exploiting Social Networks for Internet Search,
  by Alan Mislove, Krishna P. Gummadi, and Peter Druschel.
  Proceedings of the 5th ACM Workshop on Hot Topics in Networks (HotNets), Irvine, CA, November 2006.
  (.pdf, 140 KB)
  

Social Network Analysis:

• On the Evolution of User Interaction in Facebook,
  by Bimal Viswanath, Alan Mislove, Meeyoung Cha, and Krishna P. Gummadi
  Proceedings of the 2nd ACM SIGCOMM Workshop On Social Networks (WOSN), Barcelona, Spain, August 2009.
  (.pdf, 108 KB)
  
• Growth of the Flickr Social Network,
  by Alan Mislove, Hema Swetha Koppula, Krishna P. Gummadi, Peter Druschel, and Bobby Bhattacharjee
  Proceedings of the 1st ACM SIGCOMM Workshop On Social Networks (WOSN), Seattle, WA, August 2008.
  (.pdf, 186 KB)
  
• Measurement and Analysis of Online Social Networks,
  by Alan Mislove, Massimiliano Marcon, Krishna P. Gummadi, Peter Druschel, and Samrat Bhattacharjee.
  Proceedings of the 7th Usenix/ACM SIGCOMM Internet Measurement Conference (IMC), San Diego, CA, October 2007. (SIGCOMM Test of Time)
  (.pdf, 533 KB)
  
• Exploiting Social Interactions in Mobile Systems,
  by Andrew G. Miklas, Kiran K. Gollu, Kelvin K.W. Chan, Stefan Saroiu, Krishna P. Gummadi, and Eyal de Lara.
  Proceedings of the 9th International Conference on Ubiquitous Computing (UbiComp), Innsbruck, Austria, September 2007.
  (.pdf, 885 KB)
  

For a complete list of my activities in chronological order, follow this link.

Some upcoming and recent journals, conferences, and workshops that I am involved with:

• General Chair/Co-Chair: ICWSM 2016
• Program Chair/Co-Chair: Data Transparency Lab Grants Committee (DTL) 2015, WWW 2015, COSN 2014, IMC 2013, WWW 2013 -- Security, Privacy, Trust, and Abuse Track
• Program Committee Member: IMC 2016, WebScience 2016, KDD 2016, WWW 2016, WSDM 2016, COSN 2015, KDD 2015, ICWSM 2015, ICWSM 2014, Oakland S&P 2014, SIGCOMM 2014, VLDB 2014
• Associate Editor: ACM Transactions on the Web
• Scientific Advisory Board Member: ACM Conference on Online Social Networks, Labex User Centric Network (UCN@Sophia)
• Steering Committee Member: AAAI International Conference on Web and Social Media, Measurement Lab

Max Planck Institute for Software Systems
Campus E1 5, Room: 434
D-66123 Saarbruecken, Germany

Tel: +49 681 9325-670
Fax: +49 681 9325-299
Email: