Social Network Analysis: la data science in Italia
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This document discusses social network analysis conducted by Alessandro Zonin. It summarizes several social network analysis projects he conducted on Twitter data, including analyzing the communities and influencers discussing #datascience in Italy from March to May 2018 with 7,500 tweets. It also analyzes social media data from outdoor industry trade shows in Munich and Denver in January 2018 on Instagram and Twitter. Finally, it references analyzing 2,500 tweets about school violence in Italy from March 2018.
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Social Network Analysis: la data science in Italia
- 1. Social Network Analysis Alessandro Zonin May 2018
- 2. How to map the shape of virtual crowds Who talks with whom Who is the mayor Which are the communities involved in conversations Which are more interesting topics
- 4. Communities and influencers: #datascience in Italy 7.500 Twitter mentions 15 Mar 2018 to 15 May 2018 #datascience country it
- 5. Communities and influencers: #datascience in Italy 7.500 Twitter mentions 15 Mar 2018 to 15 May 2018 #datascience country it
- 6. Communities and influencers: #datascience in Italy Influencers Nr RTs & mentions received mikequindazzi 112 fisher85m 102 antgrasso 84 ipfconline 75 evankirstel 73 jacburns_comext 60 kirkdborne 58 deeplearn007 57 jblefevre60 56 spirosmargaris 46 7.500 Twitter mentions 15 Mar 2018 to 15 May 2018 #datascience country it
- 7. Communities and influencers: brand mention Influencers Nr RTs & mentions received oakley 524 ethika 72 planbofficial 60 etnies 60 ryansheckler 59 redbull 55 grizzlygriptape 55 indy_trucks 54 pinarello_com 22 kask_cycling 22 @oakley mentions from 4 mar 2017 to 10 mar 2017 586 Twitter mentions by 486 users 192 hashtags
- 8. Events - ISPO Munich - 28-31 gennaio 2018 6571 instagram post, 861 user interaction2610 tweet, 1412 user interaction https://alessandrozonin.wordpress.com/2018/03/05/ispo-e-outdoor-retailer-twitter-e-instagram-a-confronto/
- 9. Events – Outdoor Retailer Denver, 25-28 gennaio 2018 2343 instagram post, 1983 user interaction3976 tweet, 3719 user interaction https://alessandrozonin.wordpress.com/2018/03/05/ispo-e-outdoor-retailer-twitter-e-instagram-a-confronto/
- 10. Semantic Network – Violenza nelle scuole 2500 tweets – 450 terms – 1-7 marzo 2018 https://alessandrozonin.wordpress.com/2018/03/20/violenza-nelle-scuole-come-se-ne-parla-su-twitter/
- 13. 42.390 Twitter mentions 14.438 users 8 Nov 2015 to 7 Nov 2016 "sharing economy" OR "#sharingeconomy" OR ("economia" AND "collaborazione") country it Node size is proportional to the number of RT/mention received Different colours indicates different communities where converstions are mode dense Credits www.socioviz.net
Editor's Notes
- SNA has its origins in both social science and in the broader fields of network analysis and graph theory. Network analysis concerns itself with the formulation and solution of problems that have a network structure; such structure is usually captured in a graph. Graph theory provides a set of abstract concepts and methods for the analysis of graphs. These, in combination with other analytical tools and with methods developed specifically for the visualization and analysis of social (and other) networks, form the basis of what we call SNA methods. But SNA is not just a methodology; it is a unique perspective on how society functions. Instead of focusing on individuals and their attributes, or on macroscopic social structures, it centers on relations between individuals, groups, or social institutions
- Looking to online world, in particula on social media data. SNA is helpful to map the shape of virtual crowds. For example visualizing social media conversation with the metaphor o graph of relations between actors or between contents Coud help to answer some questions, such as: Who talks with whom Who is the mayor Which are the communities involved in conversations Which are more interesting topics
- Jacob Levy Moreno (born Iacob Levy; May 18, 1889 – May 14, 1974) was an Austrian-American psychiatrist, psychosociologist, and educator, the founder of psychodrama, and the foremost pioneer of group psychotherapy. During his lifetime, he was recognized as one of the leading social scientists. A sociogram is a visual depiction of the relationships between a specific group. The purpose of a sociogram is to uncover the underlying relationships between people. Moreno aimed to examine the Choices and preferences in a group and he was especially interested in the structures that he called social configuration. These configurations are resulted as the concrete patterns of interpersonal Choice , attraction, repulsion, friendship and other relations in which people are involved. According to Moreno, these configurations are the basis upon large scale social aggregates, such as the economy and the state, are the sustained and reproduced over the time.Moreno’s main innovation is to devise the “sociogram” which is a way to pre sent formal properties of social configurations. Sociogram can be defined as diagrams in Which individuals represented by “points” and their social relationships represented by “lines” (Scott, 2000:9). JACOB LEVI MORENO, negli anni ’30, elaborò una serie di studi con l’obiettivo di rappresentare le relazioni nei gruppi tramite sociogrammi. I sociogrammi si utilizzano soprattutto in scienza dell’educazione e sono utili per analizzare la posizione degli individui all’interno di un gruppo, Per individuare i leader e gli emarginati e visualizzare il gruppo nel suo insieme. Il primo esempio di SOCIOGRAMMA è il disegno, fatto a mano libera, delle relazioni di amicizia in una scuola elementare. I maschi sono rappresentati come triangoli, le fammine come cerchi; nel gergo della SNA sono i cosidetti nodi. I nodi sono collegati tra di loro tramite un arco a seconda che esista o meno una relazione, in questo caso un legame di amicizia. Sull’arco c’è un trattino in caso di reciprocità Si possono notare due community o cluster distinti, tendenzialmente le bambine giocano tra di loro, così come i maschi. Solo in un caso una relazione collega le due comunità. Il bambino in questione è il cosidetto bridger, attore senza il quale le community sarebbero completamente disconnesse. Altre prospettive si aprono entrando nel merito del numero di archi in entrata di ciascun nodo (popolarità) o le sottocomunità dove i legami si intensificano. Qualche decennio è passato e la social network analysis ha trovato applicazione in varie discipline ma con l’avvento del web 2.0 e delle piattaforme social termini come Reti, comunità e influenza dimostrano un’incredibile attualità.