dorsal/arxiv
View SchemaSocial inertia and diversity in collaboration networks
| Authors | Jose J. Ramasco |
|---|---|
| Categories | |
| ArXiv ID | physics/0612006 |
| URL | https://arxiv.org/abs/physics/0612006 |
| DOI | 10.1140/epjst/e2007-00069-9 |
| Journal | European Physical Journal ST 143, 47 (2007) |
Abstract
Random graphs are useful tools to study social interactions. In particular, the use of weighted random graphs allows to handle a high level of information concerning which agents interact and in which degree the interactions take place. Taking advantage of this representation, we recently defined a magnitude, the Social Inertia, that measures the eagerness of agents to keep ties with previous partners. To study this magnitude, we used collaboration networks that are specially appropriate to obtain valid statistical results due to the large size of publically available databases. In this work, I study the Social Inertia in two of these empirical networks, IMDB movie database and condmat. More specifically, I focus on how the Inertia relates to other properties of the graphs, and show that the Inertia provides information on how the weight of neighboring edges correlates. A social interpretation of this effect is also offered.
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"abstract": "Random graphs are useful tools to study social interactions. In particular,\nthe use of weighted random graphs allows to handle a high level of information\nconcerning which agents interact and in which degree the interactions take\nplace. Taking advantage of this representation, we recently defined a\nmagnitude, the Social Inertia, that measures the eagerness of agents to keep\nties with previous partners. To study this magnitude, we used collaboration\nnetworks that are specially appropriate to obtain valid statistical results due\nto the large size of publically available databases. In this work, I study the\nSocial Inertia in two of these empirical networks, IMDB movie database and\ncondmat. More specifically, I focus on how the Inertia relates to other\nproperties of the graphs, and show that the Inertia provides information on how\nthe weight of neighboring edges correlates. A social interpretation of this\neffect is also offered.",
"arxiv_id": "physics/0612006",
"authors": [
"Jose J. Ramasco"
],
"categories": [
"physics.soc-ph"
],
"doi": "10.1140/epjst/e2007-00069-9",
"journal_ref": "European Physical Journal ST 143, 47 (2007)",
"title": "Social inertia and diversity in collaboration networks",
"url": "https://arxiv.org/abs/physics/0612006"
},
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