文:李艷麗 圖:李艷麗 / 來源:計算機學院 大數據研究中心 / 2019-11-05 / 點擊量:1044

  由電子科技大學計算機科學與工程學院(網絡空間安全學院),大數據研究中心主辦的“網絡信息挖掘”專題報告會,邀請到Carlo Vittorio Cannistraci教授、Manuel Sebastian Mariani副研究員等作學術交流。具體安排如下,歡迎廣大師生參加。

  時 間:2019年11月6日 9:00-11:30

  地 點:電子科技大學清水河校區圖書館百學堂視聽閱覽室(圖書館二樓A區與B區之間)

  主持人: 周濤教授








Carlo Vittorio Cannistraci

(Technische Universit?t Dresden,教授)

Machine intelligence and network science for complex systems big ? data analysis


Manuel Sebastian Mariani


The wisdom of the few: Predicting collective success by tracking ? key individuals




Fast influencers in complex networks




2-hop-based vs. 3-hop-based link prediction algorithms: which will ? win?



  Carlo Vittorio Cannistraci?

  Technische Universit?t Dresden,教授

  Carlo Vittorio Cannistraci is a theoretical engineer, head of the Biomedical Cybernetics Group and faculty of the Department of Physics in the TU Dresden, which is a member of the TU9 excellence-league (the nine most prestigious technical universities in Germany). Carlo’s area of research embraces information theory, machine learning and complex networks including also applications insystems biomedicine and neuroscience. Nature Biotechnology selected Carlo’s article (Cell 2010) on machine learning in developmental biology to be nominated in the list of 2010 notable breakthroughs in computational biology. Circulation Research featured Carlo’s work (Circulation Research 2012) on leveraging a cardiovascular systems biology strategy to predict future outcomes in heart attacks, commenting: “a space-aged evaluation using computational biology”. The Technical University Dresden honoured Carlo of the Young Investigator Award 2016 in Physics for his work on the local-community-paradigm theory and link prediction in monopartite5 and bipartite networks.In 2017, Springer-Nature scientific blog highlighted with an interview to Carlo his study on “How the brain handles pain through the lens of network science”. The American Heart Association covered this year on its website the recent chronobiology discovery of Carlo on how the sunshine affects the risk and time onset of heart attack. In 2018, Nature Communications featured Carlo’s article entitled “Machine learning meets complex networks via coalescent embedding in the hyperbolic space” in the selected interdisciplinary collection of recent research on complex systems


  Manuel Sebastian Mariani


  He is the research Associate Professor in Physics at the Institute of Fundamental and Frontier Sciences and he is the post doctor of the University of Zurich. His research interestsincludequantitative analysis of scientific and technological innovation, spreading processes and diffusion in networks, models of network growth and network-based ranking. He has publishednearly 20 papers in international renowned journals such as PNAS, Physics Report, and Physical Review E.


  His research interests include vital nodes identification, spreading models, link prediction, social networks analysis. He has published a paper in CNSNS(two district top journal), and got the CCCN2019 IJMPC Best Student Paper Award.

  李艷麗 電子科技大學,博士生

  Her research interests includelink prediction, influential nodes identification, recommendation system and economic social network analysis. She is also one of translators of 《Individual and Collective Graph Mining: Principles, Algorithms, and Applications》(《單圖與群圖挖掘:原理、算法與應用》)

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編輯:楊棋凌  / 審核:李果  / 發布者:陳偉