Abstract (may include machine translation)
Az utóbbi idõben a szociális viselkedés vizsgálata egyre inkább multidiszciplináris tudományággá vált. Az emberi kommunikáció és kapcsolat mind nagyobb hányada zajlik digitális rendszereken (telefon, internet), amelyekrõl rengeteg adat áll rendelkezésre. Az adatok analízisében a szociológusok mellett úttörõ szerepet játszottak fizikusok, matematikusok és informatikusok is, hiszen számos technikára volt szükség a gráfelmélettõl az adatbányászaton és a sokügynökös modellezésen keresztül a statisztikus megközelítésig.
More recently, the study of social behaviour has increasingly become a multidisciplinary discipline. Human communication and relationships are increasingly of human interaction is taking place on digital systems (telephone, internet), for which a wealth of data is available. The pioneers in analysing this data, alongside sociologists, physicists, mathematicians and computer scientists have played a pioneering role in the field of sociology, as a number of techniques have been from graph theory, data mining and multi-agent modelling to statistical approaches.
More recently, the study of social behaviour has increasingly become a multidisciplinary discipline. Human communication and relationships are increasingly of human interaction is taking place on digital systems (telephone, internet), for which a wealth of data is available. The pioneers in analysing this data, alongside sociologists, physicists, mathematicians and computer scientists have played a pioneering role in the field of sociology, as a number of techniques have been from graph theory, data mining and multi-agent modelling to statistical approaches.
| Translated title of the contribution | What can we learn from big data, or how to choose the communication channel? |
|---|---|
| Original language | Hungarian |
| Pages (from-to) | 13-17 |
| Number of pages | 5 |
| Journal | FIZIKAI SZEMLE |
| Volume | 69 |
| Issue number | 1 |
| State | Published - 2019 |