Table 3. Parameters to describe the dynamics of daily tweet volume of political parties as a geometric Brownian motion (GBM).

The expectation value V _p(t) of daily tweet volume of party p at time t given by a GBM is V _p(t) = V _p(0)exp((μ−σ ²/2)t + σW(t)) where W(t) is a Wiener process or a Brownian motion.

Euro14: European Parliament election 2014, Italy
Rank	Party	μ−σ 2/2	μ	σ	V p(0)	Rank	Party	μ−σ 2/2	μ	σ	V p(0)
1	PD	0.0124	0.0627	0.3171	18299.2	5	NCD-UdC	0.0059	0.0893	0.4088	2578.5
2	M5S	0.0469	0.0925	0.3018	6143.3	6	AET	0.0581	0.1513	0.4316	520.0
3	FI	0.0053	0.0955	0.4247	9714.3	7	FdI-AN	0.0404	0.4013	0.8496	238.5
4	LN	0.0592	0.2995	0.6932	686.2
Italy13: Italian general election 2013
Rank	Party	μ−σ 2/2	μ	σ	V p(0)	Rank	Party	μ−σ 2/2	μ	σ	V p(0)
1	M5S	0.0328	0.0979	0.3608	3294.9	4	SC	-0.0048	0.0490	0.3278	22856.7
2	PD	0.0181	0.0815	0.3561	9121.2	5	LN	0.0104	0.2264	0.6573	576.0
3	PdL	0.0039	0.1164	0.4744	16763.5	6	SEL	0.0127	0.1406	0.5057	2458.3
Bulgaria13: Bulgarian general election 2013
Rank	Party	μ−σ 2/2	μ	σ	V p(0)	Rank	Party	μ−σ 2/2	μ	σ	V p(0)
1	GERB	0.0435	0.1591	0.4808	194.8	3	DPS	0.2110	0.2496	0.2782	7.6
2	BSP	0.0892	0.1904	0.4498	55.8	4	ATAKA	0.2248	0.4020	0.5954	2.4