TY - GEN
T1 - 'On the Shoulders of Giants', Analysis of a Social Network of Intellectual Influence
AU - Ghawi, Raji
AU - Petz, Cindarella
AU - Pfeffer, Jurgen
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Intellectuals, scholars, philosophers, writers, and scientists, and their work are embedded in a long history of ideas. These traditions disseminated and diffused over a long history spanning from Greek-Roman antiquity to recent times. But how did those lines of traditions and influence of thoughts develop over the ages? How did intellectuals influence each other? What is the most far-reaching impact of influence, as well as who are the most immediate influencing, and the most influenced by other intellectuals in history? To answer these types of questions, we mined a network of influence among over 12 thousand intellectuals, from YAGO, a pioneering data source of Linked Open Data. We conducted several essential types of social network analysis, concerning connectivity, degree distribution, prestige (influence), and importance (centrality). We studied the diffusion dynamics of influence by analyzing the influence cascades in terms of size, depth and breadth. One interesting finding is the identification of two major, disjoint categories of small and large cascades of influence.
AB - Intellectuals, scholars, philosophers, writers, and scientists, and their work are embedded in a long history of ideas. These traditions disseminated and diffused over a long history spanning from Greek-Roman antiquity to recent times. But how did those lines of traditions and influence of thoughts develop over the ages? How did intellectuals influence each other? What is the most far-reaching impact of influence, as well as who are the most immediate influencing, and the most influenced by other intellectuals in history? To answer these types of questions, we mined a network of influence among over 12 thousand intellectuals, from YAGO, a pioneering data source of Linked Open Data. We conducted several essential types of social network analysis, concerning connectivity, degree distribution, prestige (influence), and importance (centrality). We studied the diffusion dynamics of influence by analyzing the influence cascades in terms of size, depth and breadth. One interesting finding is the identification of two major, disjoint categories of small and large cascades of influence.
UR - http://www.scopus.com/inward/record.url?scp=85077819364&partnerID=8YFLogxK
U2 - 10.1109/SNAMS.2019.8931821
DO - 10.1109/SNAMS.2019.8931821
M3 - Conference contribution
AN - SCOPUS:85077819364
T3 - 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019
SP - 248
EP - 255
BT - 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019
A2 - Alsmirat, Mohammad
A2 - Jararweh, Yaser
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019
Y2 - 22 October 2019 through 25 October 2019
ER -