giacobenin
giacobenin
/ udp2tcp.py
Last active
January 20, 2021 05:21
— forked from vxgmichel/udpproxy.py
UDP to TCP 1-Way Relay using asyncio
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| """ | |
| 1-way UDP to TCP relay. | |
| Test with netcat | |
| 1) Run TCP server: | |
| nc -l 999 | |
| 2) Run UDP proxy: | |
| python udpproxy.py | |
| 3) Run UDP client: | |
| nc -u 127.0.0.1 8888 |
giacobenin
/ neo4j-contact networks
Last active
April 5, 2016 22:01
— forked from mdalp/neo4j-contact networks
This Gist wants to show how to take advantage of the Neo4j graph modeling to represent and navigate contact networks.
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| :neo4j-version: 2.2 | |
| :author: Marcello Dalponte | |
| :twitter: @m_dalp | |
| ## Contact networks | |
| A contact network is one of the typologies of dynamic networks described in the famous paper of Holme and Saramäki[1]. | |
| A dynamic network is a mathematical representation of the evolution of the relationships between entities through graphs. | |
| It's interesting to catch this dynamicity because describes the transitivity of the order of the interactions: if A meets B and after B meets C then A can transmit something to C but not the opposite; this is useful to study the spreading of informations or infections. | |
| An interesting project that aims to collect this kind of data is Sociopatterns[2], where Cattuto and others developed a framework to collect contacts data from RFID sensors [3]. |