Krahasoni metodat

	Analiza e rrjetave me botë të vogël dhe pa shkallë	Analiza e Rrjeteve Temporale
Fusha	Analiza e rrjeteve	Analiza e rrjeteve
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	1998 (small-world); 1999 (scale-free)	2012
Krijuesi	—	Holme & Saramäki (2012) — seminal framework
Lloji	Descriptive / exploratory network analysis	Dynamic graph analysis
Burimi themelues	Watts, D.J. & Strogatz, S.H. (1998). Collective Dynamics of 'Small-World' Networks. Nature, 393(6684), 440-442.	Holme, P. & Saramäki, J. (2012). Temporal Networks. Physics Reports, 519(3), 97-125.
Emërtime të tjera	Küçük Dünya ve Ölçek-Bağımsız Ağ Analizi, small-world network, scale-free network, preferential attachment analysis	dynamic network analysis, time-varying network analysis, Zamansal Ağ Analizi (Temporal / Dynamic Networks)
Të lidhura	9	3
Përmbledhja	Small-world and scale-free network analysis tests whether a real-world network exhibits two landmark topological signatures identified in 1998-1999: the Watts-Strogatz small-world property (high local clustering combined with short average path lengths) and the Barabási-Albert scale-free property (a degree distribution that follows a power law, meaning a small number of hubs connect to a disproportionately large share of other nodes). Together these frameworks transformed network science by showing that many social, biological, and technological networks share a common structural grammar.	Temporal network analysis, formalised by Holme and Saramäki in their landmark 2012 Physics Reports survey, is the study of networks in which edges appear and disappear over time. Rather than collapsing all contacts into a single static graph, the approach preserves the precise timing of interactions — whether as contact sequences, time-stamped event lists, or windowed snapshots — and uses that timing to track how influence, disease, or information can actually propagate through the system.