<div class="gmail_quote">---------- Forwarded message ----------<br>From: "Sharma, Raj" <<a href="mailto:Raj.Sharma2@xerox.com">Raj.Sharma2@xerox.com</a>><br>Date: Nov 7, 2016 6:10 AM<br>Subject: Call for Papers: 2nd International Workshop on Network Data Analytics 2017<br>To: "Sharma, Raj" <<a href="mailto:Raj.Sharma2@xerox.com">Raj.Sharma2@xerox.com</a>><br>Cc: <br><br type="attribution">
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<p class="MsoNormal" align="center" style="text-align:center"><i><span style="font-size:10.0pt;font-family:"Courier New";color:black">*apologies, if you have received multiple copies of this email<u></u><u></u></span></i></p>
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<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Courier New";color:black">CALL FOR PAPERS<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Courier New";color:black">2nd International Workshop on Network Data Analytics 2017<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Co-located with the ACM SIGMOD'17<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Courier New";color:black">May 19 2017, Raleigh, North Carolina, USA<u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Workshop Website:
<a href="https://sites.google.com/site/networkdataanalytics2017/" target="_blank">https://sites.google.com/site/<wbr>networkdataanalytics2017/</a><u></u><u></u></span></p>
<p class="MsoNormal" align="center" style="text-align:center"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Proceedings will be published by ACM<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">WORKSHOP<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">The Second International Workshop on Network Data Analytics (NDA 2017), co-located with the ACM SIGMOD Conference 2017, is a forum for exchanging
ideas and methods for mining, querying and learning with (large-scale) real-world networks, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. This
year, we have a special focus on (1) research work pertaining to presence of noise in real-life graphs and (2) novel applications of graph analytics in newer domains (like transportation, education, retail/marketing, banking, healthcare etc.) (preferably with
demonstrations).<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">TOPICS OF INTEREST<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Topics of interest include but not limited to the following:<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Core Graph Platform work which build on new age systems like Titan, SPARK/GraphX, GraphLab/PowerGraph, Giraph, GraphChi etc.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Network representation, storage, indexing and querying methods<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Graph query languages, visualization techniques and querying interfaces<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Benchmarking RDF/SPARQL, Titan/Gremlin and/or graph database systems<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Dynamic Graphs: Managing network updates; Analysing evolution and detection of community structures in real-world graphs<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Querying and mining heterogeneous networks -- knowledge graphs etc.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Graph summarization and sampling<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Machine learning techniques such as clustering, classification, semi-supervised learning, spectral techniques, and kernel methods in the
context of networks<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Frequent/Significant sub-graph mining, graph (sub)pattern matching<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Parallel graph processing techniques/architectures<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Game Theory, Social contagion and Information propagation with applications in real-world networks:<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Rumour proliferation<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * E-reputation; Viral Marketing<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Disease propagation<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Modelling traffic flow/spread<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Measuring graph characteristics–diameter, eigenvalues, triangle counting<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Noisy Graph Analytics:<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Characterization and quantification of noise in real-life graphs<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Benchmarking state-of-the-art algorithms on noisy graphs<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Graph Noise Removal: Identification, reconstruction and cleaning<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Spatio-temporal analytics:<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Streaming sensor data<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Trajectory data<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Time varying graphs -- road-networks, characterizing traffic data, co-purchase networks, biological networks -- protein-protein and
* gene interaction networks etc.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">- Novel Applications/Real-life experiences in Interesting Domains:<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Social Networks; Citation Networks; Co-Purchase Networks<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Biological Network Data; Ecological data<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Retail, Marketing and Media<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Financial Services and Business Data Analysis<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> * Customer Care; Healthcare; Transportation data Cybersecurity<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">MOTIVATION<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Networks are prevalent in today’s electronic world in a wide variety of domains ranging from Engineering to Social Sciences, Life Sciences to
Physical Sciences, Data Analytics and so on. Researchers and practitioners have studied networks in multiple ways like defining network metrics, providing theoretical results and examining problems like pattern mining, link prediction etc. Recently, we have
witnessed a proliferation of networks in new business domains like Telecommunications, Banking, Retail/Marketing, Healthcare, Transportation etc. Most of these real-world applications give rise to networks which exhibit unique and interesting structures supporting
multiple dynamical processes that shape these networks over time.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Graphs are unarguably one of the most natural ways of representation for such data because of their ability to represent different entity and
relationship types, including the temporal relationships necessary to represent the dynamics of a data stream. However, fusing such heterogeneous data into a single graph or multiple related graphs and mining is challenging task. Emerging massive data has
made calls for fundamental change to graph data modelling and programming paradigm. APACHE SPARK is one such successful instantiation. Finally, it is interesting to see the applicability of graph based techniques by applying them to even wider range of data
like spatial, spatio-temporal and IOT data which did not inherently exhibit network structure by modelling relationships.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">IMPORTANT DATES<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> Abstract Submission :January 9, 2017<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> Paper Submission : January 16, 2017<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> Notifications : March 6, 2017<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> Camera Ready Submission : March 27, 2017<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> Workshop Date : May 19, 2017<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"> All deadlines are 23:59 Hours PST<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">SUBMISSION GUIDELINES<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Research papers submitted to NDA should present unpublished research papers (full and short), demonstrations and case-studies in the broad area
of network/graph analytics as listed above. Submissions must follow the 2 column SIGMOD Proceedings Format, and should be double-blind. For templates and details, please visit
<a href="https://sites.google.com/site/networkdataanalytics2017/submission-guidelines" target="_blank">
https://sites.google.com/site/<wbr>networkdataanalytics2017/<wbr>submission-guidelines</a>.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">The workshop proceedings will be published by ACM.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">SUBMISSION SITE<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"><a href="https://cmt3.research.microsoft.com/NDA2017" target="_blank">https://cmt3.research.<wbr>microsoft.com/NDA2017</a><u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Keynote Speaker<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Prof. Jiawei Han has kindly agreed to deliver an exciting keynote at the workshop. The details will be posted later on the website.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Chaired by<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Akhil Arora, Xerox Research, India<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Shourya Roy, Xerox Research, India<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Arnab Bhattacharya, IIT Kanpur, India<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Contact<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black">Email to:<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"><a href="mailto:arora.akhilcs@gmail.com" target="_blank">arora.akhilcs@gmail.com</a>,
<a href="mailto:akhil.arora@xerox.com" target="_blank">akhil.arora@xerox.com</a><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"><a href="mailto:shourya.roy@gmail.com" target="_blank">shourya.roy@gmail.com</a>,
<a href="mailto:shourya.roy@xerox.com" target="_blank">shourya.roy@xerox.com</a><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Courier New";color:black"><a href="mailto:arnabbhattacharya@gmail.com" target="_blank">arnabbhattacharya@gmail.com</a>,
<a href="mailto:arnabb@cse.iitk.ac.in" target="_blank">arnabb@cse.iitk.ac.in</a><u></u><u></u></span></p>
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