What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Machine learning
Francesco Bonchi spends much of his time researching Data mining, Artificial intelligence, Social network, Machine learning and Social graph.
His Data mining research incorporates themes from Set, Monotone polygon and Pruning.
His work deals with themes such as Network science, Dynamic network analysis and Viral marketing, which intersect with Artificial intelligence.
His research integrates issues of Link, Key and Set in his study of Social network.
His research investigates the link between Machine learning and topics such as Topic model that cross with problems in Reduction.
His Social graph study incorporates themes from Scalability and Interpersonal ties.
His most cited work include:
- Learning influence probabilities in social networks (829 citations)
- Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases (386 citations)
- A data-based approach to social influence maximization (319 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Data mining, Theoretical computer science, Graph, Social network and Artificial intelligence.
His biological study deals with issues like Pruning, which deal with fields such as Monotone polygon.
His research investigates the connection between Theoretical computer science and topics such as Set that intersect with problems in Approximation algorithm, Mathematical optimization and Greedy algorithm.
His Graph research is multidisciplinary, relying on both Betweenness centrality and Scalability.
His studies deal with areas such as Key, Data science and Set as well as Social network.
His Artificial intelligence research includes elements of Machine learning and Pattern recognition.
He most often published in these fields:
- Data mining (23.72%)
- Theoretical computer science (18.61%)
- Graph (17.52%)
What were the highlights of his more recent work (between 2018-2021)?
- Theoretical computer science (18.61%)
- Graph (17.52%)
- Vertex (6.57%)
In recent papers he was focusing on the following fields of study:
Francesco Bonchi mainly investigates Theoretical computer science, Graph, Vertex, Graph and Set.
His Theoretical computer science research includes themes of Centrality, Graph drawing and Social network.
Many of his research projects under Social network are closely connected to Matrix decomposition with Matrix decomposition, tying the diverse disciplines of science together.
He interconnects Contrast, Soundness, Task, Artificial intelligence and Online algorithm in the investigation of issues within Graph.
His study in the fields of Sentence under the domain of Artificial intelligence overlaps with other disciplines such as Predictability.
His Set research integrates issues from Algorithm, Approximation algorithm and Quadratic equation.
Between 2018 and 2021, his most popular works were:
- Discovering Polarized Communities in Signed Networks (16 citations)
- FaiRecSys: mitigating algorithmic bias in recommender systems (14 citations)
- Temporal betweenness centrality in dynamic graphs (13 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Database
His primary areas of investigation include Graph, Theoretical computer science, Scalability, Centrality and Data collection.
He has researched Graph in several fields, including Social media and Computational sociology.
His work deals with themes such as Ranging, Graph, restrict and Viral marketing, which intersect with Theoretical computer science.
His Scalability research is multidisciplinary, incorporating perspectives in Graph summarization, Online algorithm and Cluster analysis.
His study in Centrality is interdisciplinary in nature, drawing from both Variety, Duration, Relevance and Identification.
His Vertex study combines topics from a wide range of disciplines, such as Upper and lower bounds, Computation and Partition.
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