Tag Archives: ownwork

A. Badie Modiri — Error and Attack Tolerance of Public Transportation Networks: A Temporal Networks Approach

Arash Badie Modiri (Aalto) Monday 2018-04-23 14.00 – 14.30 Seminar room A346, T-building Error and Attack Tolerance in Public Transportation Networks: A Temporal Networks Approach The behaviour of complex networks under attack provides insight into their internal structure. Furthermore, advances in methods for analysing temporal networks have enabled us to perform more detailed modelling of… Read More »

A. Triana – Effects of spatial smoothing on group-level differences in the structure of functional brain networks

Ana Triana (Aalto) Tuesday 2018-04-10 12.30 – 13.00 Seminar room A346, T-building Effects of spatial smoothing on group-level differences in the structure of functional brain networks Brain connectivity with functional Magnetic Resonance Imaging (fMRI) is a popular approach to investigate psychiatric disorders and to detect differences between healthy and clinical populations. In such studies, fMRI… Read More »

S. Heydari – Multichannel Social Signatures and Persistent Features of Ego Networks

Sara Heydari (Aalto) Thursday 2018-03-15 9.00 – 9.45 Meeting room A346, T-building Multichannel Social Signatures and Persistent Features of Ego Networks The structure of egocentric networks reflects the way people balance their need for strong, emotionally intense relationships and a diversity of weaker ties. Egocentric network structure can be quantified with ‘social signatures’, which describe… Read More »

S. Sallmen – Graphlets in Multilayer Networks

Sallamari Sallmen (Aalto) Friday 2018-01-26 14.15 – 15.00 Seminar room T5, T-building Graphlets in Multilayer Networks Networks, consisting of nodes and edges, are used to model and analyze a wide array of phenomena in various disciplines. Recently, increasing attention has been given to more realistic network representations such as multilayer networks, which can include different… Read More »

N. Tran Quang – When is Network Lasso Accurate: The Vector Case

Nguyen Tran Quang (Aalto) Thursday 2017-11-23 13.15 – 14.00 Seminar room 1021-1022, TUAS-building When is Network Lasso Accurate: The Vector Case A recently proposed learning algorithm for massive network-structured data sets (big data over networks) is the network Lasso (nLasso), which extends the well-known Lasso estimator from sparse models to network-structured datasets. Efficient implementations of… Read More »

C. Gershenson – Improving Urban Mobility with Self-organization

C. Gershenson (IIMAS, UNAM, Mexico) Thursday 2017-11-02 12.00 – 12.30 Seminar room T5, T-building Improving Urban Mobility with Self-organization Urban mobility is non-stationary, i.e. the precise number of vehicles or passengers is changing constantly, and with a limited predictability. Transportation systems will be more effective if they can adapt at the same timescales at which… Read More »

C. Pineda – The random nature of rank dynamics

C. Pineda (IF, UNAM, Mexico) Thursday 2017-11-02 12.30 – 13.00 Seminar room T5, T-building The random nature of rank dynamics Any set can be ranked by comparing a common property, such as size, age, or wealth. Ranks indicate who does one object compare to others of the same set. People have analyzed the rank distribution… Read More »

O. Korhonen – Regions of Interest as nodes of dynamic functional brain networks

Onerva Korhonen (Aalto) Thursday 2017-11-09 12.15 – 13.00 Seminar room T5, T-building Regions of Interest as nodes of dynamic functional brain networks The properties of functional brain networks strongly depend on how their nodes are chosen. Commonly, nodes are defined by Regions of Interest (ROIs), pre-determined groupings of fMRI measurement voxels. Earlier, we have demonstrated… Read More »

J. Török – Age prediction using egocentric network

János Török (BME) Thursday 2017-07-27 14.15 – 15.00 Lecture room AS3, TUAS-building Age prediction using egocentric network Prediction is often done by supervised learning where the many parameter model (neural network) is trained by the some part of data, and the accuracy of the prediction is then verified on the rest. The problem with these… Read More »

J. Török – Cascading collapse of online social networks

János Török (BME) Thursday 2017-07-18 14.15 – 15.00 Lecture room AS3, TUAS-building Cascading collapse of online social networks Online social networks have increasing influence on our society, they may play decisive roles in politics and can be crucial for the fate of companies. Such services compete with each other and some may even break down… Read More »