ARS 2015 : Fifth International Workshop on Social Network Analysis - ARS'15

Following the four previous issues of the ARS workshop in Salerno, Naples and Rome (http://www.ars15.unisa.it/past_ars) we are pleased to invite you to submit a paper to the fifth issue of ARS that will be held in Anacapri (Capri island) on April 29-30, 2015. <br> <br>ARS’15 aims at presenting the most relevant results and the most recent methodological developments in dealing with LARGE NETWORK and BIG DATA. <br>The workshop also aims to deepen existing scientific cooperation between social network analysts, to establish new cooperation between researchers, and to provide a multi-disciplinary forum for exchange of ideas <br>Papers of interest including (but not limited to) the following topics are solicited: <br>- Analysis of Large-Scale Networks <br>- Structural Large Network Properties <br>- Community Detection and structure in Large Networks <br>- Visualization of Large Networks <br>- Methodological problems in large network studies <br>- Dynamics and evolution patterns of l... Read more

Following the four previous issues of the ARS workshop in Salerno, Naples and Rome (http://www.ars15.unisa.it/past_ars) we are pleased to invite you to submit a paper to the fifth issue of ARS that will be held in Anacapri (Capri island) on April 29-30, 2015. <br> <br>ARS’15 aims at presenting the most relevant results and the most recent methodological developments in dealing with LARGE NETWORK and BIG DATA. <br>The workshop also aims to deepen existing scientific cooperation between social network analysts, to establish new cooperation between researchers, and to provide a multi-disciplinary forum for exchange of ideas <br>Papers of interest including (but not limited to) the following topics are solicited: <br>- Analysis of Large-Scale Networks <br>- Structural Large Network Properties <br>- Community Detection and structure in Large Networks <br>- Visualization of Large Networks <br>- Methodological problems in large network studies <br>- Dynamics and evolution patterns of large networks <br>- Big data storage, processing and network analysis <br>- Social network data mining and analytics <br> <br>Applications in several fields (Telecommunications networks, Collaboration networks, Online Social Networks, Healthcare, etc.) are also strongly encouraged. <br> <br>For ARS’15, in addition to the usual program of contributed talks, the Workshop will include a selection of keynote talks from prominent researchers. <br>Building on successes in previous years, ARS’15 will also hold a two-day short course before the Workshop. <br> <br> <br>--------------------------------------------------------------- <br>Instructions for authors: <br>--------------------------------------------------------------- <br>Detailed submission instructions will be posted on Paper Submission page in due time. <br>Authors are invited to submit short abstracts (max 500 words) after the registration using the abstract submission system: <br> <br>http://www.ars15.unisa.it/submission <br> <br>All submitted short abstracts are subject to acceptance by the Scientific Program Committee members. Accepted papers will be presented at the workshop as full talks and possibly as poster presentations including a short introductory talk. In the abstract submission procedure please check off the appropriate box if you intend submit the paper for full talk or for poster session. <br> <br>At least one author must be registered and attend the conference. <br> <br>--------------------------------------------------------------- <br>Post-Proceedings <br>--------------------------------------------------------------- <br>A selection of original papers will be published in a volume edited by an international publisher and/or in special issues of international journals. <br> <br>--------------------------------------------------------------- <br>Contact information: <br> <br>Website http://www.ars15.unisa.it <br>Email: <br>• ars15@unisa.it <br> <br>• Giancarlo RAGOZINI <br>giancarlo.ragozini@unina.it <br> <br>• Maria Rosaria D'ESPOSITO <br>mdesposito@unisa.it <br> <br>